{ "count" : 33511, "data" : [ { "id" : "6a2c93fa74d8ee00a098964f", "title" : "Autonomous Operations Specialist, Equipment Operator", "company" : "Pronto AI", "industry" : "Technology", "salary" : { "min" : 71000.0, "max" : 89000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-15T10:15:20.475", "fingerprint" : "8fa8f0baadbb839036f40b682ddf8004870a8fae613e055af232702d4b9cc206", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/pronto/jobs/8587069002", "externalId" : "8587069002", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning" ], "hardSkillsList" : [ "Equipment inspection", "Light maintenance" ], "hardSkills" : [ { "name" : "Equipment inspection", "level" : "intermediate" }, { "name" : "Light maintenance", "level" : "intermediate" } ], "majorSkills" : "Autonomous vehicle technology, Equipment operation, Safety driving", "majorSkillsList" : [ "Autonomous vehicle technology", "Equipment operation", "Safety driving" ], "coreResponsibilities" : "Serve as Safety Drivers, Test and provide feedback, Operate heavy equipment, Assist with development, Assist with testing, Refine safety protocols, Perform equipment inspections, Perform light maintenance, Maintain operating records", "teamCollaboration" : "Work with engineering teams; Collaborate with operators", "domainKnowledge" : "Autonomous Haulage Systems; Mining operations; Quarrying operations; Construction sites", "domainList" : [ "autonomous-haulage-systems", "mining-operations", "quarrying-operations", "construction-sites" ], "domainSpecificKnowledge" : [ "Autonomous Haulage Systems", "Mining operations", "Quarrying operations", "Construction sites" ], "innovationCreativity" : "Inventing the future", "specialRequirements" : "Willingness to travel, Work occasional nights, Work occasional weekends", "outcomesObjectives" : "Make mining operations safer; Make mining operations smarter; Make mining operations more efficient", "qualificationsBasic" : "Professional driving experience 3-5 years, Clean safety record", "qualificationsPreferred" : "Experience with mining operations, Experience with quarrying operations, Experience operating heavy equipment", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Who we are Pronto AI is a global leader in commercializing autonomous vehicle (AV) technology, deploying Autonomous Haulage Systems (AHS) that automate operations in mines, quarries, and construction sites worldwide. While much of the industry remains in R&D, we deliver real, production-ready autonomy that is already operating in the field. We are on a mission to make mining operations safer, smarter, and more efficient through cutting-edge technology, and we are building toward becoming the world’s first profitable AV technology company. What you’ll do We are looking for entrepreneurial Test Operators to help us revolutionize the mining and quarrying industries. We give our Operators a wide range of responsibilities / opportunities to help us develop and roll-out our autonomous technologies to the world. This is not a standard driving position - it's an opportunity for highly capable, motivated professionals to be part of a technology team that is moving fast, is inventing the future of haulage, and asks a lot of its team members. Serving as Safety Drivers in our autonomous off-road haul trucks at our customer deployments in our various locations across the US. Working directly with our engineering teams to test and provide feedback on new technologies / features When necessary, operating other heavy equipment, such as excavators, loaders, and / or bulldozers Assisting with the development and testing of our off-road autonomous technologies Following and helping to refine / further develop safety protocols Performing routine equipment inspections and light maintenance Maintaining accurate operating records What we’re looking for An entrepreneurial mindset and a desire to be part of an early stage, deep tech startup that is inventing the future of the mining and quarrying industries Professional driving experience of at least 3-5 years, either off-road or on-road, with a clean safety record Experience with mining and / or quarrying operations preferred Experience operating other heavy equipment (e.g., excavators, loaders, bulldozers) preferred Willingness to travel as necessary and work occasional nights / weekends Strong communication skills, attention to detail, and ability to work in demanding, fast-paced environments Why join us Work on real, production-deployed autonomy. Build technology that directly improves safety, efficiency, and productivity. Tackle complex challenges in demanding, real-world environments. Be part of a fast-moving team with high ownership and impact. See your work deployed and making a difference in the field. Collaborate closely with experienced engineers and industry operators. What else you need to know As a company driven by innovation and continuous change, close collaboration is essential. We’re constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. While this role is remote, travel to our various field sites across the US is a critical part of this operation. The base salary range for this role is $71,000-$89,000 per year and will vary based on location. Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications. Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus. Benefits Summary (USA Full-Time Exempt Employees): Medical, Dental, Vision, Disability, and Life Insurance Flexible Spending Account / Health Savings Account Options 401(k) Equity Sick Time, Unlimited Flexible Time Off, and Paid Holidays Paid Parental Leave Pre-Tax Commuter Benefit Plan Benefits are subject to change at the company's discretion. Pronto accepts applications on an ongoing basis. Ready to join us as we serve those who serve others? #LI-Onsite", "summaryDescription" : "Autonomous Operations Specialist, Equipment Operator at Pronto AI. Skills: Autonomous vehicle technology, Equipment operation, Safety driving. Serve as Safety Drivers. Test and provide feedback", "postedDate" : "2026-06-14T08:47:12.834", "createdAt" : "2026-06-14T08:47:12.834", "lastUpdated" : "2026-06-15T10:15:20.475", "ingestTimestamp" : "2026-06-14T08:47:12.834", "mongoId" : "6a2c93fa74d8ee00a098964f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 71000, "salaryAnnualMax" : 89000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Equipment inspection", "Light maintenance", "Autonomous vehicle technology", "Equipment operation", "Safety driving", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Autonomous Haulage Systems", "Mining operations", "Quarrying operations", "Construction sites" ], "skillCount" : 14, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 1071.6841, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "694ae6e370f0b99d589b3727", "title" : "Autonomous Command Pit Controller", "company" : "Côté Gold", "industry" : "Manufacturing", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Autonomous Command Pit Controller in the Mining industry in Canada, adjusted for the specific mine site location." }, "location" : "06 - Cote Gold Mine Site", "locations" : [ "06 - Cote Gold Mine Site", "
06 - Cote Gold Mine Site (06 - Cote Gold Mine Site)
IAMGOLD Corp, Côté Gold Division
3 Mesomikenda Lake RdPO Box 100
Gogama, P0M 1W0

" ], "timestamp" : "2026-06-16T00:49:03.879", "fingerprint" : "99e0962c331c412f57b6b085e9422b662b849b6da20c3f48f0adbaf1372539cc", "source" : "taleo", "language" : "en", "applyUrl" : "https://iamgold.taleo.net/careersection/ex/jobdetail.ftl?job=55661", "externalId" : "55661", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Ontario", "country" : "Canada", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Ontario, Canada", "technicalSkills" : "Robotics, Autonomous systems", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Autonomous mining operations" ], "hardSkills" : [ { "name" : "Autonomous mining operations", "level" : "intermediate" } ], "majorSkills" : "Autonomous operations reliability, Pit operations efficiency, Equipment operation, Troubleshooting", "majorSkillsList" : [ "Autonomous operations reliability", "Pit operations efficiency", "Equipment operation", "Troubleshooting" ], "coreResponsibilities" : "Coordinate all field aspects of Autonomous Operations Reliability, Advise control centre on operational changes, Optimize autonomous operations, Optimize individual truck operations, Coordinate and direct operations team members, Ensure safe operations, Ensure production operations, Perform regular survey activities, Perform validation activities, Conduct pit inspections, Conduct area surveys, Conduct field interactions, Conduct incident investigations, Create safe zones, Ensure AHS activities comply with regulations, Ensure AHS activities comply with mine guidelines, Identify truck behaviors requiring maintenance, Identify truck behaviors requiring optimization, Inform appropriate personnel, Interact with AHS system for manual interventions, Troubleshoot autonomous equipment, Run recovery scripts, Manually reset equipment, Ensure equipment is maintained, Ensure equipment is used in accordance with company, Ensure system configuration is optimal for AMT performance, Manage truck recovery, Manage truck intervention, Investigate occurrences causing AMTs to stop, Complete documentation accurately, Complete data entry accurately, Monitor field operations, Monitor truck performance, Ensure key performance indicators are met, Identify faults, Troubleshoot equipment, Ensure truck is available in correct mode, Commit to continuous learning, Commit to continuous improvement, Improve team's skill set, Watch for inefficiencies, Watch for problems, Share problems with others, Share inefficiencies with others, Troubleshoot problems collaboratively, Resolve problems collaboratively, Consider risk along five dimensions, Coordinate with other team members on site, Meet shift deliverables, Mentor new team members, Train new team members, Lend expertise to the team, Communicate clearly, Communicate effectively using provided tools, Ensure equipment logs are accurate, Ensure equipment logs are complete, Ensure shift logs are accurate, Ensure shift logs are complete, Communicate deficiencies to appropriate team members, Participate in multi-disciplinary teams", "teamCollaboration" : "Cross-functional teams; Multi-disciplinary teams", "domainKnowledge" : "Open pit mining; Autonomous mining operations", "domainList" : [ "open-pit-mining", "autonomous-mining-operations" ], "domainSpecificKnowledge" : [ "Open pit mining", "Autonomous mining operations" ], "communicationSkills" : "Verbal communication; Written communication", "documentationSkills" : "Documentation completion; Data entry", "continuousLearning" : "Continuous learning; Continuous improvement; Improve team's skill set", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "outcomesObjectives" : "Ensure safe and production operations; Ensure AHS activities comply with regulations and mine guidelines; Ensure equipment is maintained and used according to standards; Ensure system configuration is optimal for AMT performance; Ensure key performance indicators are met; Deliver operational reliability", "qualificationsBasic" : "Grade 12 or equivalent, 5 or more years of experience in an open pit mining environment or autonomous operations environment", "qualificationsPreferred" : "College diplomas or university degrees in a related field such as mine engineering, robotics, or autonomous systems, Previous exposure to Autonomous Mining Systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Improve today. Define tomorrow. At Côté Gold, we focus on what we contribute, not just what we extract. We believe that in order for prosperity to be sustained, it must be shared, it must support the well-being of our employees and our communities, and it must be achieved with minimal impact to the environment. Côté Gold is being developed in partnership with the Mattagami First Nation, Flying Post First Nation and Métis Nation of Ontario, Region 3. The open-pit gold mine is a joint venture between IAMGOLD and Sumitomo Metal Mining Co. Ltd. and is operated by IAMGOLD. We are located near Gogama, Ontario, with access to stable infrastructure and strong connections with our local communities. Accessing Opportunities at Côté Gold IAMGOLD is committed to treating all people in a way that respects their dignity and independence. Should you require any support or accommodation during the recruitment process or otherwise, please notify us when you apply and we will work to meet your accessibility needs. Autonomous Command Pit Controller The Autonomous Command Pit Controller is responsible for coordinating all field aspects of Autonomous Operations Reliability. Advises the control centre on operational changes that should be made to optimize the autonomous operations as well as the individual truck operations within the mine. Key Responsibilities Area 1: Pit operations efficiency. Coordinate and direct operations team members to ensure safe and production operations. Perform regular survey and validation activities of the Autonomous Operating Zone (AOZ) Conduct pit inspections and area surveys. Conduct field interactions and incident investigations. Create safe zones for others to work. Ensure all Autonomous Haulage System (AHS) activities are carried out in compliance with regulations and mine guidelines. Identify truck behaviors that requires maintenance or optimization and inform appropriate personnel. Interact with the AHS system as needed for manual interventions. Area 2: Safe and reliable equipment operation and troubleshooting. Troubleshoot autonomous equipment, run recovery scripts and manually reset equipment as required. Ensure all equipment is maintained and used in accordance with company health and safety standards. Responsible for ensuring system configuration is optimal for Autonomous Mine Truck (AMT) performance. Responsible for truck recovery and intervention. Responsible for investigating any occurrences that cause AMTs to stop. Accurate completion of documentation and data entry where necessary. Monitor field operations and truck performance to ensure key performance indicators are met Identify faults and troubleshoot equipment as required. Responsible for ensuring the truck is available in the correct mode as required. Area 3: Improve autonomous operations reliability. Commit to continuous learning and improvement. Continually seek to improve your team's skill set. Watch for inefficiencies or problems. Ensure problems and inefficiencies are shared with others. Work collaboratively to troubleshoot and resolve problems. Consider risk along the five dimensions (throughput, time, quality, sustainability and cost). Area 4: Work collaboratively with others to deliver operational reliability. Coordinate with other team members on site to meet shift deliverables. Mentor and train new team members. Participate in and lend your expertise to the team. Communicate clearly and effectively using the tools provided. Ensure equipment logs and shift logs are accurate and complete. Ensure any deficiencies are communicated to the appropriate team members for follow up. Participate in multi-disciplinary teams to deliver on our commitment to our team, our communities, the environment, and our shareholders. Minimum Requirements and Nice To Haves Minimum Qualifications, Formal Education, Certifications or Equivalents Grade 12 or equivalent. College diplomas or university degrees in a related field such as mine engineering, robotics, or autonomous systems is considered an asset. Work Experience – Nature & Length 5 or more years of experience in an open pit mining environment or autonomous operations environment. Previous exposure to Autonomous Mining Systems is highly desirable, but not essential. Additional Qualifications – Competency Requirements Advanced computer literacy. Excellent communication skills (both verbal and written) Ability to work under pressure. Sound knowledge of open pit mining fundamentals and autonomous mining operations. What We Offer IAMGOLD believes in rewarding outstanding performance with an equally outstanding total rewards package. Our attractive offerings include: ● Competitive Salary and Bonus ● Extended Health, Dental and Insurance Benefit Coverage ● Health Spending Account ● Fitness & Wellness Subsidy ● Employee & Family Assistance Program ● Registered Pension Plan with Company Match ● Employee Share Purchase Plan with Company Match ● TFSA & RRSP ● Electric Vehicle Subsidy Empowering People – Extraordinary Performance IAMGOLD is a leading mid-tier Canadian gold producer with operating gold mines on three continents. We are in growth-mode, with a robust pipeline of development and exploration projects in Canada, South America and Africa. Throughout our 30 year history, we have demonstrated our commitment to responsible and sustainable mining practices, and our Zero Harm® commitment ensures that we continually strive to reach the highest standards in human health and safety, minimize our impact on the environment and support the development of the local communities in which we proudly operate. IAMGOLD was recently recognized by the Corporate Knights magazine on its Top 50 Corporate Citizens in Canada list. Canada", "summaryDescription" : "Autonomous Command Pit Controller at Côté Gold. Skills: Autonomous operations reliability, Pit operations efficiency, Equipment operation, Troubleshooting. Coordinate all field aspects of Autonomous Operations Reliability. Advise control centre on operational changes", "createdAt" : "2026-06-14T19:46:22.912", "lastUpdated" : "2026-06-16T00:49:03.879", "ingestTimestamp" : "2026-06-14T19:46:22.912", "mongoId" : "694ae6e370f0b99d589b3727", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Autonomous mining operations", "Autonomous operations reliability", "Pit operations efficiency", "Equipment operation", "Troubleshooting", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Open pit mining" ], "skillCount" : 13, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "_score" : 1035.1868, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Mining", "llmIndustryConfidence" : 0.95 }, { "id" : "694ae6e370f0b99d589b3724", "title" : "Autonomous System Command Builder", "company" : "Côté Gold", "industry" : "Manufacturing", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Autonomous System Command Builder in Gogama, Canada, adjusted for the mining industry." }, "location" : "06 - Cote Gold Mine Site", "locations" : [ "06 - Cote Gold Mine Site", "
06 - Cote Gold Mine Site (06 - Cote Gold Mine Site)
IAMGOLD Corp, Côté Gold Division
3 Mesomikenda Lake RdPO Box 100
Gogama, P0M 1W0

" ], "timestamp" : "2026-06-16T04:43:12.618", "fingerprint" : "0109450bc980de878db97fd1f44440b395d2a1cbcb7fa7e0ffac857923df22b7", "source" : "taleo", "language" : "en", "applyUrl" : "https://iamgold.taleo.net/careersection/ex/jobdetail.ftl?job=57001", "externalId" : "57001", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Gogama", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6736705,-81.7250895" } ], "locationText" : "Gogama, Ontario, Canada", "technicalSkills" : "Mine model, MineStar Command", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Mine model validation", "Mine model accuracy", "Road network design", "Dump area design", "Ramp design", "Road design" ], "hardSkills" : [ { "name" : "Mine model validation", "level" : "intermediate" }, { "name" : "Mine model accuracy", "level" : "intermediate" }, { "name" : "Road network design", "level" : "intermediate" }, { "name" : "Dump area design", "level" : "intermediate" }, { "name" : "Ramp design", "level" : "intermediate" }, { "name" : "Road design", "level" : "intermediate" } ], "majorSkills" : "Mine model implementation, Autonomous haulage operations, Operational metrics, Continuous learning", "majorSkillsList" : [ "Mine model implementation", "Autonomous haulage operations", "Operational metrics", "Continuous learning" ], "coreResponsibilities" : "Ensure integrity of mine model, Accurately reflect mine operations reality, Plan physical changes within AOZ, Validate physical changes within AOZ, Update physical changes within AOZ, Interpret designs to adjust model, Follow key productivity metrics, Trend key productivity metrics, Report in-cycle interruptions, Action in-cycle interruptions, Ensure dynamic areas are ready, Ensure dynamic areas are available, Complete documentation accurately, Complete data entry accurately, Monitor operations performance, Monitor system performance, Seek opportunities to improve operations, Investigate causes of cycle issues, Share problems and inefficiencies, Troubleshoot problems, Resolve problems, Consider risk dimensions, Deliver operational reliability, Form working relationships with Mine Operators, Form working relationships with Supervisors, Form working relationships with Control teams, Coordinate with team members on site, Meet shift deliverables, Mentor new team members, Train new team members, Lend expertise to team, Communicate clearly, Communicate effectively, Ensure equipment logs are accurate, Ensure equipment logs are complete, Ensure shift logs are accurate, Ensure shift logs are complete, Communicate deficiencies to team members, Participate in multi-disciplinary teams", "teamCollaboration" : "Mine Operators; Supervisors; Control teams; Other team members on site; Multi-disciplinary teams", "domainKnowledge" : "Open pit mining fundamentals; Autonomous mining operations; Autonomous Haulage fleet", "domainList" : [ "open-pit-mining-fundamentals", "autonomous-mining-operations", "autonomous-haulage-fleet" ], "domainSpecificKnowledge" : [ "Open pit mining fundamentals", "Autonomous mining operations", "Autonomous Haulage fleet" ], "toolProficiency" : [ "Minestar Command" ], "communicationSkills" : "Communicate clearly; Communicate effectively", "documentationSkills" : "Documentation completion; Data entry; Equipment logs; Shift logs", "continuousLearning" : "Continuous learning; Continuous improvement", "problemSolvingSkills" : "Troubleshoot problems; Resolve problems; Investigate causes of cycle issues", "outcomesObjectives" : "Ensure key performance indicators are met", "qualificationsBasic" : "Grade 12 or equivalent, 2 or more years of experience in an open pit mining environment, 2 or more years of experience in civil engineering, 2 or more years of experience in survey, 2 or more years of experience in autonomous operations environment", "qualificationsPreferred" : "College diplomas or university degrees in a related field, Previous exposure to Autonomous Builder role", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Improve today. Define tomorrow. At Côté Gold, we focus on what we contribute, not just what we extract. We believe that in order for prosperity to be sustained, it must be shared, it must support the well-being of our employees and our communities, and it must be achieved with minimal impact to the environment. Côté Gold is being developed in partnership with the Mattagami First Nation, Flying Post First Nation and Métis Nation of Ontario, Region 3. The open-pit gold mine is a joint venture between IAMGOLD and Sumitomo Metal Mining Co. Ltd. and is operated by IAMGOLD. We are located near Gogama, Ontario, with access to stable infrastructure and strong connections with our local communities. Accessing Opportunities at Côté Gold IAMGOLD is committed to treating all people in a way that respects their dignity and independence. Should you require any support or accommodation during the recruitment process or otherwise, please notify us when you apply and we will work to meet your accessibility needs. Autonomous System Command Builder The Autonomous System Command Builder is responsible for the effective utilization of the Autonomous Haulage fleet using Minestar Command. The Builder is the “hands on” implementer of the mine model within MineStar Command for hauling. Key Responsibilities Area 1: Mine model validation and accuracy. Ensure the integrity of the mine model (road network, locations, equipment etc.) and that it accurately reflects mine operations reality. Plan, validate and update any physical changes within the Autonomous Operating Zone (AOZ) to the Mine Model either in the field or control center. Interpret designs (Shift plans, dump development, ramps, roads etc.) to adjust model accordingly. Follow and trend key productivity metrics. Report and action any in-cycle interruptions caused by field/operational conditions such as road quality, road design, setup of load and dump areas. Ensure all dynamic areas are ready and available for use. Accurate completion of documentation and data entry where necessary. Monitor operations/processes and system performance to ensure key performance indicators are met. Area 2: Operational excellence. Seek opportunities to improve field haul fleet operations. Commit to continuous learning and improvement. Continually seek to improve your skills as an Autonomous System Command Builder. Watch for inefficiencies or problems. Investigate causes of cycle issues Ensure problems and inefficiencies are shared with others. Work collaboratively to troubleshoot and resolve problems. Consider risk along the five dimensions (throughput, time, quality, sustainability and cost). Area 3: Work collaboratively with others to deliver operational reliability. Form close working relationships with Mine Operators, Supervisor and Control teams to drive efficiency of the Autonomous Haulage fleet. Coordinate with other team members on site to meet shift deliverables. Mentor and train new team members. Participate in and lend your expertise to the team. Communicate clearly and effectively using the tools provided. Ensure equipment logs and shift logs are accurate and complete. Ensure any deficiencies are communicated to the appropriate team members for follow up. Participate in multi-disciplinary teams to deliver on our commitment to our team, our communities, the environment, and our shareholders. Minimum Requirements and Nice To Haves Minimum Qualifications, Formal Education, Certifications or Equivalents Grade 12 or equivalent. College diplomas or university degrees in a related field such as civil engineering, surveying, robotics, or autonomous systems is considered an asset. Work Experience – Nature & Length 2 or more years of experience in an open pit mining environment, civil engineering, survey or autonomous operations environment. Previous exposure to Autonomous Builder role will be highly regarded, but not essential. Additional Qualifications – Competency Requirements Advanced computer literacy. Sound knowledge of open pit mining fundamentals and autonomous mining operations. Able to visualize efficient roadways (shortest routes, fewest curves, fewest stop points). What We Offer IAMGOLD believes in rewarding outstanding performance with an equally outstanding total rewards package. Our attractive offerings include: ● Competitive Salary and Bonus ● Extended Health, Dental and Insurance Benefit Coverage ● Health Spending Account ● Fitness & Wellness Subsidy ● Employee & Family Assistance Program ● Registered Pension Plan with Company Match ● Employee Share Purchase Plan with Company Match ● TFSA & RRSP ● Electric Vehicle Subsidy Empowering People – Extraordinary Performance IAMGOLD is a leading mid-tier Canadian gold producer with operating gold mines on three continents. We are in growth-mode, with a robust pipeline of development and exploration projects in Canada, South America and Africa. Throughout our 30 year history, we have demonstrated our commitment to responsible and sustainable mining practices, and our Zero Harm® commitment ensures that we continually strive to reach the highest standards in human health and safety, minimize our impact on the environment and support the development of the local communities in which we proudly operate. IAMGOLD was recently recognized by the Corporate Knights magazine on its Top 50 Corporate Citizens in Canada list. Canada", "summaryDescription" : "Autonomous System Command Builder at Côté Gold. Skills: Mine model implementation, Autonomous haulage operations, Operational metrics, Continuous learning. Ensure integrity of mine model. Accurately reflect mine operations reality", "createdAt" : "2026-06-14T20:39:56.010", "lastUpdated" : "2026-06-16T04:43:12.618", "ingestTimestamp" : "2026-06-14T20:39:56.010", "mongoId" : "694ae6e370f0b99d589b3724", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Mine model validation", "Mine model accuracy", "Road network design", "Dump area design", "Ramp design", "Road design", "Mine model implementation", "Autonomous haulage operations", "Operational metrics", "Continuous learning", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Open pit mining fundamentals", "Autonomous mining operations", "Autonomous Haulage fleet", "Minestar Command" ], "skillCount" : 20, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 1024.2352, 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"https://jobs.ashbyhq.com/42dot/51c7f616-1b14-4942-ac9a-47dbc77a0150/application", "externalId" : "51c7f616-1b14-4942-ac9a-47dbc77a0150", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pangyo", "country" : "South Korea", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "37.3947237,127.1115312" } ], "locationText" : "Pangyo, South Korea", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI/ML, Software Architecture", "professionalSkills" : [ "Project management", "Program management", "System design", "Requirements definition", "Interface definition", "Roadmap planning", "Execution planning", "Cross-functional coordination", "Gate review operation", "Risk management", "Release management", "Stakeholder communication", "Trend analysis", "Strategy reflection", "Product specification", "Safety strategy", "Milestone management", "Engineering execution", "Technical mediation", "Decision support" ], "hardSkillsList" : [ "Agile development", "Type approval certification", "Global compliance" ], "hardSkills" : [ { "name" : "Agile development", "level" : "intermediate" }, { "name" : "Type approval certification", "level" : "intermediate" }, { "name" : "Global compliance", "level" : "intermediate" } ], "majorSkills" : "Autonomous Driving, Product Management, System Integration, Certification Management", "majorSkillsList" : [ "Autonomous Driving", "Product Management", "System Integration", "Certification Management" ], "coreResponsibilities" : "Lead AD system development, Define AD stack integration scope, Define external platform integration scope, Define milestone, Define MVP, Define roadmap, Define execution plan, Manage ODD requirements, Manage AD function requirements, Manage system requirements, Manage interface requirements, Manage safety requirements, Coordinate Perception organization, Coordinate Planning organization, Coordinate Control organization, Coordinate Localization organization, Coordinate Vehicle Interface organization, Coordinate validation organization, Coordinate quality organization, Coordinate mass production organization, Plan stage-based verification, Operate gate review, Manage backlog, Manage dependency, Manage issue, Manage risk, Manage release, Communicate development status, Communicate schedule, Communicate quality, Communicate risk, Communicate decision points, Analyze global regulations, Reflect trends in roadmap, Reflect trends in strategy, Define product requirements, Specify product, Manage product milestones, Secure product safety, Review product deliverables, Collaborate with engineering, Interface with customers, Interface with partners, Interface with certification bodies, Lead gate reviews, Lead audits, Drive execution across teams, Support technical decisions", "teamCollaboration" : "Cross-functional organizations; Global teams; External technology partners; Vendors; Customers; 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"Autonomous Driving Standards" ], "toolProficiency" : [ "JIRA", "Confluence" ], "communicationSkills" : "Stakeholder communication; English communication; Technical discussion; Business negotiation", "documentationSkills" : "Technical documentation; Product specification; Safety strategy documentation", "problemSolvingSkills" : "Technical problem solving; Product perspective interpretation", "outcomesObjectives" : "Achieve global type approval; Lead product to mass production; Secure product safety; Successfully lead certification process", "qualificationsBasic" : "10+ years project/program management, 5+ years leading complex projects, Autonomous driving development experience, SDV development experience, Vehicle software development experience, AI/ML system development experience, SW/external platform integration experience, AD product lifecycle management, Software development process understanding, Requirements management understanding, Interface management understanding, Release management understanding, Global team collaboration, English communication skills, Requirements management tool usage, Technical documentation writing, OEM interface coordination, Tier 1 interface coordination, Global certification body interface coordination", "qualificationsPreferred" : "ADAS/AD mass production experience, Vehicle integration experience, OTA experience, Data pipeline experience, Perception stack understanding, Planning stack understanding, Control stack understanding, Localization stack understanding, Mapping stack understanding, Sensor fusion stack understanding, Vehicle interface stack understanding, SIL/HIL/VIL understanding, Simulation validation understanding, Scenario-based validation understanding, Proving ground validation understanding, Public road test understanding, Systems engineering experience, Software engineering experience, Vehicle safety experience, Certification experience, ISO 26262 application experience, ISO 21448 application experience, UN R171 application experience, AD architecture understanding, Control unit development process understanding, Global certification body audit experience, Type approval acquisition experience, Product perspective problem solving, Global partner negotiation skills, English technical discussion skills", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "WE ARE LOOKING FOR THE BEST 42dot Product Management 조직은, SDV(Software-defined Vehicle) 에서 자율주행 프로젝트를 리딩할 역량 있는 Product Manager를 찾고 있습니다. 이 역할은 단순 일정 관리가 아닌 Vehicle Software 기반의 차량 개발을 end-to-end로 리딩하는 포지션입니다. 본 포지션은 Vehicle Engineering 이해를 기반으로 하되, Lv 2~ Lv 4 자율주행 시스템의 요구 사항, 개발, 검증, 릴리즈, 차량 적용까지 전 과정을 통합 관리하며, 소프트웨어 아키텍처 관점에서 프로젝트를 구조화하고 리딩할 수 있는 역량이 요구됩니다. 그리고 DCAS(Driver Control Assistance System)의 글로벌 형식 승인(Type Approval) 인증을 담당하여, 인증 전략 수립부터 기술 문서 작성, 내·외부 이해관계자 조율, 인증 기관 심사 대응까지 인증 프로세스 전반을 end-to-end로 주도합니다. 복잡한 자율주행 기술 스택과 다수의 이해관계자 사이에서 명확한 방향성을 제시하고, 글로벌 기준에 부합하는 고품질 인증 산출물을 성공적으로 이끌어낼 분을 모십니다. Responsibilities - AD Product Manager - AD 시스템 개발의 기획, 개발, 검증, 양산까지 end-to-end 프로젝트 리딩 - 자체 개발 AD stack과 외부 플랫폼 간 개발/통합 범위를 정의하고, milestone, MVP, roadmap 및 실행 계획 수립 - ODD, AD 기능, 시스템 요구사항, interface, safety requirement 등 주요 요구사항 관리 및 유관 조직 alignment - Perception, Planning, Control, Localization, Vehicle Interface, 검증, 품질, 양산 등 다양한 조직 간 cross-functional coordination 수행 - SIL/HIL/VIL, simulation, proving ground, public road test 등 단계별 검증 계획 수립 및 gate review 운영 - JIRA, Confluence 등 Agile 기반 프로젝트 운영을 통해 backlog, dependency, issue, risk, release 관리 - 경영진 및 주요 이해관계자 대상 개발 현황, 일정, 품질, 리스크, 주요 의사결정 사항 커뮤니케이션 - DCAS Certification Manager - 글로벌 자율주행 및 ADAS 법규의 트렌드 분석 및 제품 로드맵·출시 전략 반영 - 인증 법규 요구사항 기반의 제품 기능적/비기능적 요구사항 정의 및 제품 스펙 구체화 - 자율주행 제품의 컨셉, 설계, 검증, 최종 형식 승인 및 양산 출시 전 과정의 마일스톤 관리 - 글로벌 표준에 부합하는 제품 안전성 확보 전략 수립 및 산출물의 검토, 엔지니어링 조직과의 협업 - 고객, 협력사, 글로벌 인증 기관과의 인터페이스 총괄 및 제품 승인을 위한 게이트 리뷰 및 심사 리드 - Agile & Engineering Execution - Agile 개발 환경(JIRA, Confluence 등) 기반 운영 - Milestone 관리 - Gate review 리딩 및 경영진 대상 기술 기반 의사결정 지원 - Cross-functional 조직 간 기술 중재 및 실행 드라이브 Qualifications - Automotive, Mobility, Robotics, AI 또는 Software 산업에서 10년 이상 프로젝트/프로그램 관리 경험 - 대규모 cross-functional 또는 복잡도 높은 기술 개발 프로젝트를 5년 이상 리드한 경험 - 자율주행, SDV, 차량 소프트웨어 또는 AI/ML 기반 시스템 개발 프로젝트 경험 - 자체 개발 SW와 외부 솔루션/플랫폼을 함께 활용하는 환경에서 integration, dependency, risk, milestone 관리 경험 - AD 제품의 기획부터 양산까지 전체 라이프사이클 관리 경험 - 소프트웨어 개발 프로세스, 요구사항 관리, interface 관리, release 관리에 대한 이해 - 글로벌 팀, 외부 기술 파트너 또는 vendor와의 협업 및 영어 기반 커뮤니케이션 능력 - 요구사항 관리 및 개발/협업 도구를 활용한 시스템, 소프트웨어 요구사항 정의와 기술 문서 작성 경험 - OEM, Tier 1, 글로벌 인증 기관 등 다양한 이해관계자와의 인터페이스 조율 및 협업 경험 Preferred Qualifications - ADAS/AD 양산 및 vehicle integration, OTA, data pipeline 관련 프로젝트 경험 - Perception, Planning, Control, Localization, Mapping, Sensor Fusion, Vehicle Interface 등 AD stack에 대한 이해 - SIL/HIL/VIL, simulation, scenario-based validation, proving ground, public road test 등 AD 검증 환경에 대한 이해 - 시스템 및 소프트웨어 엔지니어링, 차량 안전 및 인증 관련 3년 이상 실무 경력 - 기능안전/자율주행 표준(ISO 26262, ISO 21448, UN R171 등) 중 1개 이상의 실무 적용 경험 - AD 아키텍처 및 제어기 개발 프로세스 이해를 바탕으로 한 엔지니어링 조직과의 기술 논의 경험 - 글로벌 인증 기관 Audit 대응 및 차량용 시스템/소프트웨어 법규 승인(Type Approval) 획득 경험 - 기술적 이슈를 제품 관점에서 해석하고, 다수의 이해관계자 사이에서 명확한 방향성을 제안하는 역량 - 글로벌 파트너 및 인증 기관 대상의 원활한 영어 기술 논의 및 비즈니스 협상 능력 Interview Process - 서류전형 - 화상면접 (1시간 내외) - 대면 혹은 화상면접 (3시간 내외) - 최종합격 - 전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다. - 전형일정 및 결과는 지원서에 등록하신 이메일로 개별 안내드립니다. Additional Information - 이력서 제출 시 주민등록번호, 가족관계, 혼인 여부, 연봉, 사진, 신체조건, 출신 지역 등 채용절차법상 요구 금지된 정보는 제외 부탁드립니다. - 모든 제출 파일은 30MB 이하의 PDF 양식으로 업로드를 부탁드립니다. (이력서 업로드 중 문제가 발생한다면 지원하시고자 하는 포지션의 URL과 함께 이력서를 recruit@42dot.ai으로 전송 부탁드립니다.) - 인터뷰 프로세스 종료 후 지원자의 동의하에 평판조회가 진행될 수 있습니다. - 국가보훈대상자 및 취업보호 대상자는 관계법령에 따라 우대합니다. - 장애인 고용 촉진 및 직업재활법에 따라 장애인 등록증 소지자를 우대합니다. - 42dot은 의뢰하지 않은 서치펌의 이력서를 받지 않으며, 요청하지 않은 이력서에 대해 수수료를 지불하지 않습니다. - 3개월의 수습기간이 적용될 수 있습니다. ※ 지원 전 아래 내용을 꼭 확인해 주세요. - 42dot이 일하는 방식, 42dot Way 보러가기 → https://42dot.ai/careers/way - 42dot만의 업무몰입 프로그램, Employee Engagement Program 보러가기 → https://42dot.ai/careers/program", "summaryDescription" : "Senior Project Manager (Autonomous Driving) at 42dot. Skills: Autonomous Driving, Product Management, System Integration, Certification Management. Lead AD system development. Define AD stack integration scope", "createdAt" : "2026-06-14T20:20:42.189", "lastUpdated" : "2026-06-16T01:11:10.000", "ingestTimestamp" : "2026-06-14T20:20:42.189", "mongoId" : "6a2cafac74d8ee00a09d77ec", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Agile development", "Type approval certification", "Global compliance", "Autonomous Driving", "Product Management", "System Integration", "Certification Management", "Project management", "Program management", "System design", "Requirements definition", "Interface definition", "Roadmap planning", "Execution planning", "Cross-functional coordination", "Gate review operation", "Risk management", "Release management", "Stakeholder communication", "Trend analysis", "Strategy reflection", "Product specification", "Safety strategy", "Milestone management", "Engineering execution", "Technical mediation", "Decision support", "Agile", "Roadmap", "Milestone", "Gate review", "Backlog management", "Dependency management", "Issue management", "Software-defined Vehicle", "Autonomous Driving Systems", "Vehicle Software", "Driver Control Assistance System", "Global Type Approval", "AD Stack", "Vehicle Integration", "System Safety", "Functional Safety", "Autonomous Driving Standards", "ISO 26262", "ISO 21448", "UN R171", "Type Approval", "JIRA", "Confluence" ], "skillCount" : 50, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 935.8425, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c68bb74d8ee00a09047b1", "title" : "Software Engineer, Autonomous Vehicles", "company" : "Helm.ai", "industry" : "AV", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior Software Engineers in the US Technology industry, adjusted for company size and remote work." }, "location" : "Remote - US", "locations" : [ "Remote - US" ], "timestamp" : "2026-06-15T04:58:43.475", "fingerprint" : "54fb9d0a4601e46d0489fdc461b520cae4f14386fa27c6e17235daccc0916ce2", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/helm-ai/0b3ebe5a-3cbb-419f-b5d3-4c986b344338/application", "externalId" : "0b3ebe5a-3cbb-419f-b5d3-4c986b344338", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C++, Python, AI, ML, Neural networks, Unsupervised learning, High-performance computing, Real-time systems", "professionalSkills" : [ "Algorithm analysis", "System design", "Software engineering" ], "hardSkillsList" : [ "Real-time software development", "Algorithm optimization", "ML model deployment", "Data pipeline management", "Model versioning" ], "hardSkills" : [ { "name" : "Real-time software development", "level" : "intermediate" }, { "name" : "Algorithm optimization", "level" : "intermediate" }, { "name" : "ML model deployment", "level" : "intermediate" }, { "name" : "Data pipeline management", "level" : "intermediate" }, { "name" : "Model versioning", "level" : "intermediate" } ], "majorSkills" : "Backend systems, Software engineering, AI/ML", "majorSkillsList" : [ "Backend systems", "Software engineering", "AI/ML" ], "coreResponsibilities" : "Design vehicle software systems, Implement vehicle software systems, Test vehicle software systems, Collaborate with vendors, Partner with AI teams, Work with customers, Advance autonomous driving capabilities, Design real-time software, Develop real-time software, Deliver real-time software, Conduct algorithm analysis, Optimize algorithms, Iterate algorithms, Architect continuous learning system, Deploy ML models, Monitor ML model performance, Prioritize ML improvements, Collaborate with platform teams, Collaborate with embedded teams, Collaborate with AI teams, Ensure cohesive development, Ensure validation, Ensure integration, Stay abreast of industry trends, Stay abreast of emerging tools", "teamCollaboration" : "AI teams; Platform teams; Embedded teams", "domainKnowledge" : "Autonomous driving; Robotics; Deep Teaching methodology; Unsupervised learning; L2/L3 autonomy; Mass production; AV stack; High-performance computing; Real-time systems; AI-driven mobility; Software/hardware integration; Robotics middleware; ML model deployment; Safety-critical systems; Real-world testing protocols", "domainList" : [ "autonomous-driving", "robotics", "deep-teaching-methodology", "unsupervised-learning", "l2-l3-autonomy", "mass-production", "av-stack", "high-performance-computing", "real-time-systems", "ai-driven-mobility", "software-hardware-integration", "robotics-middleware", "ml-model-deployment", "safety-critical-systems", "real-world-testing-protocols" ], "domainSpecificKnowledge" : [ "Autonomous driving", "Robotics", "Deep Teaching methodology", "Unsupervised learning", "L2/L3 autonomy", "Mass production", "AV stack", "High-performance computing", "Real-time systems", "AI-driven mobility", "Software/hardware integration", "Robotics middleware", "ML model deployment", "Safety-critical systems", "Real-world testing protocols" ], "toolProficiency" : [ "ROS2", "CARLA" ], "communicationSkills" : "Communication skills", "continuousLearning" : "Stay abreast of industry trends; Stay abreast of emerging tools", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Problem-solving skills", "outcomesObjectives" : "Safer roads; Economically viable AI deployment", "qualificationsBasic" : "Bachelor's or Master's degree, Lead projects, Mentor team members, Work autonomously, Backend programming foundation, C++ programming, Python programming, Design performant software systems, Develop performant software systems, Deploy performant software systems, Design real-time software systems, Develop real-time software systems, Deploy real-time software systems, Data structures command, Algorithms command, Software architecture command, Design patterns command", "qualificationsPreferred" : "Ph. D. preferred, Experience in autonomous vehicle development, Software/hardware integration expertise, ROS2 experience, Robotics middleware experience, ML model deployment experience, ML model monitoring experience, Data pipeline management experience, Model versioning experience, Simulation tools experience, CARLA experience, Real-world testing protocols experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "We help make autonomous technologies more efficient, safer, and accessible. Helm.ai http://Helm.ai builds AI software for autonomous driving and robotics. Our \"Deep Teaching\" methodology is uniquely data and capital efficient, allowing us to surpass traditional approaches. Our unsupervised learning software can train neural networks for L2/L3 autonomy, which drastically reduces the need for human annotation and is hardware-agnostic. We work with some of the world's largest automotive manufacturers https://helm.ai/post/helm-ai-and-honda-motor-co-agree-to-multi-year-adas-joint-development-for-mass-production-consumer-vehicles towards mass production and we've raised over $100M from Honda, Mando, and others to help us scale. We are looking for versatile engineers to shape core components of the next generation of the Helm.ai http://Helm.ai autonomous stack. No prior experience in autonomous vehicles is required—we prioritize deep expertise in backend systems and a proven track record in high-impact software engineering. In this senior role, you will design, implement, and test safe, efficient, and reliable vehicle software/hardware systems, collaborate with sensor and compute vendors, partner with Helm.ai http://Helm.ai’s AI teams, and work with customers to advance highway and urban autonomous driving capabilities. You will: - Design, develop, and deliver safe, scalable, and robust real-time software for mass production grade autonomous vehicle systems directly contributing to safer roads and economically viable AI deployment. - Conduct in-depth algorithm analysis, optimization, and iteration to enhance efficiency and accuracy across the AV stack. - Architect scalable continuous learning system for deploying new ML models, monitoring their performance, and prioritizing improvements. - Collaborate with platform, embedded, and AI teams to ensure cohesive development, validation, and integration of ML based perception, prediction, and planning. - Stay abreast of industry trends and emerging tools in high-performance computing, real-time systems, and AI-driven mobility. You have: - Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics; Ph.D. preferred. - Demonstrated ability to lead projects, mentor team members, and work autonomously in high-stakes fast-paced environments. - Strong foundation in backend programming (C++, Python) and proven track record in designing, developing, and deploying performant and/or real-time software systems, e.g. aerospace, online ads, robotics, gaming, high-frequency trading. - Strong command of data structures, algorithms, software architecture, and design patterns. - Excellent problem-solving, communication, and collaboration skills, with a passion for innovation. The following are not required but a plus: - Experience in autonomous vehicle development, with expertise in software/hardware integration. Experience with ROS2 or other robotics middleware. - Experience with ML model deployment and monitoring in production environments, including data pipeline management and model versioning for safety-critical systems. - Expertise in simulation tools (e.g., CARLA) and real-world testing protocols for autonomous vehicles. We offer: - Competitive health insurance options - 401K plan management - Remote-friendly and flexible team culture - Free lunch and fully-stocked kitchen in our South Bay office - Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale - The opportunity to work on one of the most interesting, impactful problems of the decade Helm.ai http://Helm.ai is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Helm.ai http://Helm.ai are considered the property of Helm.ai http://Helm.ai and are not subject to payment of agency fees.", "summaryDescription" : "Software Engineer, Autonomous Vehicles at Helm.ai. Skills: Backend systems, Software engineering, AI/ML. Design vehicle software systems. Implement vehicle software systems", "createdAt" : "2026-06-14T03:54:44.538", "lastUpdated" : "2026-06-15T04:58:43.475", "ingestTimestamp" : "2026-06-14T03:54:44.538", "mongoId" : "6a2c68bb74d8ee00a09047b1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Real-time software development", "Algorithm optimization", "ML model deployment", "Data pipeline management", "Model versioning", "Backend systems", "Software engineering", "AI/ML", "Algorithm analysis", "System design", "Autonomous driving", "Robotics", "Deep Teaching methodology", "Unsupervised learning", "L2/L3 autonomy", "Mass production", "AV stack", "High-performance computing", "Real-time systems", "AI-driven mobility", "Software/hardware integration", "Robotics middleware", "Safety-critical systems", "Real-world testing protocols", "ROS2", "CARLA" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 911.7282, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c783674d8ee00a093e5b9", "title" : "Autonomous Vehicle Operator", "industry" : "Business Operations", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Autonomous Vehicle Operator in Houston, adjusted for mid-seniority and the technology industry." }, "location" : "Houston, TX", "locations" : [ "Houston, TX" ], "certifications" : [ "Valid U. S. driver's license" ], "timestamp" : "2026-06-16T00:57:30.909", "fingerprint" : "fb13f1c9880767efdf818ace1081f556dfe14516b7c57a52b87f83db56aca468", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/isee/652062e1-1c9b-4436-8b1a-ada67c1a1cbb/apply", "externalId" : "652062e1-1c9b-4436-8b1a-ada67c1a1cbb", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Houston", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.7589382,-95.3676974" } ], "locationText" : "Houston, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "technicalSkills" : "Linux, Google Suite, Jira, Slack, Git", "professionalSkills" : [ "Technical acumen", "Technical aptitude" ], "hardSkillsList" : [ "Troubleshooting", "Log data review", "System failure analysis", "Disengagement analysis", "Diagnostic tree updates" ], "softSkillsList" : [ "Independent operation" ], "hardSkills" : [ { "name" : "Troubleshooting", "level" : "intermediate" }, { "name" : "Log data review", "level" : "intermediate" }, { "name" : "System failure analysis", "level" : "intermediate" }, { "name" : "Disengagement analysis", "level" : "intermediate" }, { "name" : "Diagnostic tree updates", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Independent operation" } ], "majorSkills" : "Autonomous vehicle operation, Real-time monitoring, Troubleshooting", "majorSkillsList" : [ "Autonomous vehicle operation", "Real-time monitoring", "Troubleshooting" ], "coreResponsibilities" : "Monitor Autonomous Yard Trucks, Support Autonomous Yard Trucks, Provide troubleshooting technical support, Review log data, Isolate issues, Track issues, Document issues, Triage issues, Update knowledge base, Update diagnostic trees, Interact with customers", "teamCollaboration" : "Interact with customers", "domainKnowledge" : "Autonomous vehicle systems; Automotive systems", "domainList" : [ "autonomous-vehicle-systems", "automotive-systems" ], "domainSpecificKnowledge" : [ "Autonomous vehicle systems", "Automotive systems" ], "toolProficiency" : [ "Google Suite", "Jira", "Slack", "Git" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Documentation", "continuousLearning" : "Learn new software; Learn new processes", "problemSolvingSkills" : "Troubleshooting; Isolate issues; Track issues; Document issues; Triage issues", "specialRequirements" : "Work in moving vehicle, Work outdoors, Rotating shifts, Travel up to 2 months", "outcomesObjectives" : "Maximize troubleshooting efficiency", "qualificationsBasic" : "At least 21 years of age, At least 5 years of driving experience, Valid U. S. driver's license, Clean driving history, Pass a criminal background check, Pass safety and performance checkpoints", "qualificationsPreferred" : "Familiarity with Linux, Familiarity with Google Suite, Familiarity with Jira, Familiarity with Slack, Familiarity with Git", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Responsibilities Monitor and support Autonomous Yard Trucks in real-time during operations Provide troubleshooting technical support for any HW or SW issues that occur on prototype vehicles Review log data of system failures and disengagements of autonomy system Isolate, track, document, and triage issues systematically Update knowledge base and diagnostic trees to maximize troubleshooting efficiency Interact with our customers as an ambassador for ISEE’s technology ## Qualifications At least 21 years of age and at least 5 years of driving experience The ability to operate independently with little or no supervision Excellent written and verbal communication Technical acumen and familiarity with Linux, Google Suite, Jira, Slack, and Git are preferred Strong technical aptitude and ability to quickly learn new software and processes Proven interest and technical capability to work with modern automotive systems Experience in a professional work environment where safety, honesty, procedure, and/or software testing is emphasized Detail-oriented mindset with a focus on safety and procedure Ability to work in close quarters in a professional manner for extended periods of time Must have a valid U. S. driver's license and clean driving history, validated by a regular MVR check Must continually pass safety and performance checkpoints for continued employment Pass a criminal background check Use a laptop in a moving vehicle for up to 10 hours per day Work in outdoor conditions for up to 10 hours per day Able to work on rotating shifts, including nights, weekends, early mornings, and holidays Ability to travel for up to 2 months", "summaryDescription" : "Autonomous Vehicle Operator. Skills: Autonomous vehicle operation, Real-time monitoring, Troubleshooting. Monitor Autonomous Yard Trucks. Support Autonomous Yard Trucks", "postedDate" : "2026-06-12T13:41:56.084", "createdAt" : "2026-06-12T13:41:56.084", "lastUpdated" : "2026-06-16T00:57:30.909", "ingestTimestamp" : "2026-06-14T21:37:13.001", "mongoId" : "6a2c783674d8ee00a093e5b9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Troubleshooting", "Log data review", "System failure analysis", "Disengagement analysis", "Diagnostic tree updates", "Independent operation", "Autonomous vehicle operation", "Real-time monitoring", "Technical acumen", "Technical aptitude", "Autonomous vehicle systems", "Automotive systems", "Valid U. S. driver's license", "Google Suite", "Jira", "Slack", "Git" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 868.0337, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "id" : "69ce5e199bc74574cb674d4c", "title" : "Autonomous Hardware and Radio Technician", "company" : "IAMGOLD", "salary" : { "min" : 89000.0, "max" : 122400.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "06 - Cote Gold Mine Site", "locations" : [ "06 - Cote Gold Mine Site", "
06 - Cote Gold Mine Site (06 - Cote Gold Mine Site)
IAMGOLD Corp, Côté Gold Division
3 Mesomikenda Lake RdPO Box 100
Gogama, P0M 1W0

" ], "timestamp" : "2026-06-15T07:49:22.001", "fingerprint" : "32b23742ae3b2dba6dae50e661a56b3fbb0b0d82fcd02201504443c75ac79af3", "source" : "taleo", "language" : "en", "applyUrl" : "https://iamgold.taleo.net/careersection/ex/jobdetail.ftl?job=57405", "externalId" : "57405", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Gogama", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6736705,-81.7250895" } ], "locationText" : "Gogama, Ontario, Canada", "employmentType" : "FULL_TIME", "technicalSkills" : "VHF/UHF, WIFI mesh, Microwave systems, Ethernet, Fiber-optic, Radio, Microwave, Wireless, Cisco Wi-Fi, LTE Radio", "professionalSkills" : [ "Problem-solving", "Prioritization", "Technical learning" ], "hardSkillsList" : [ "Radio communications", "Fleet Management Systems", "Electronic schematics", "Technical specifications" ], "hardSkills" : [ { "name" : "Radio communications", "level" : "intermediate" }, { "name" : "Fleet Management Systems", "level" : "intermediate" }, { "name" : "Electronic schematics", "level" : "intermediate" }, { "name" : "Technical specifications", "level" : "intermediate" } ], "majorSkills" : "Autonomous hardware, Radio systems, Mining technology, Wireless communication", "majorSkillsList" : [ "Autonomous hardware", "Radio systems", "Mining technology", "Wireless communication" ], "coreResponsibilities" : "Install wired/wireless communications, Repair wired/wireless communications, Maintain wired/wireless communications, Deploy VHF/UHF systems, Deploy WIFI mesh systems, Deploy microwave systems, Execute preventative maintenance, Inspect hardware, Identify field inefficiencies, Apply Command for Haulage expertise, Improve fleet throughput, Improve fleet quality, Troubleshoot technical issues, Manage mining databases, Manage fleet management software, Manage equipment logs, Ensure reporting accuracy, Partner with Mine Operators, Partner with Control teams, Coordinate shift deliverables, Resolve fleet problems, Train new team members, Manage FMS inventory, Prevent downtime", "teamCollaboration" : "Mine Operators; Control teams", "domainKnowledge" : "Autonomous haulage; Drill fleet; High Precision Machine Guidance; Mining databases; Fleet Management Systems; Autonomous Mining Systems; Microwave PTP; Microwave PTMP", "domainList" : [ "autonomous-haulage", "drill-fleet", "high-precision-machine-guidance", "mining-databases", "fleet-management-systems", "autonomous-mining-systems", "microwave-ptp", "microwave-ptmp" ], "domainSpecificKnowledge" : [ "Autonomous haulage", "Drill fleet", "High Precision Machine Guidance", "Mining databases", "Fleet Management Systems", "Autonomous Mining Systems", "Microwave PTP", "Microwave PTMP" ], "toolProficiency" : [ "Command for Haulage", "Fleet Management Systems", "Cisco Wi-Fi" ], "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "specialRequirements" : "Rotational schedule", "qualificationsBasic" : "Grade 12 or equivalent, 5+ years electrician experience, 5+ years communications infrastructure experience", "qualificationsPreferred" : "College diploma related field, University degree related field, Fleet Management Systems experience, Autonomous Mining Systems experience, High Precision Machine Guidance experience, Cisco Wi-Fi experience, LTE Radio Systems experience, Mining experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are IAMGOLD. Innovative, Accountable Mining. IAMGOLD is a Canadian-based gold mining company with operations and development projects across North America and West Africa. With flagship operations such as the Côté Gold Mine in Ontario—one of Canada’s largest and most technologically advanced gold mines—we’re not just mining gold; we’re shaping the future of mining. We believe mining can be different. By combining innovation with a strong commitment to sustainability and accountability, we create lasting value for our people and the communities where we operate. At IAMGOLD, when we engage, empower, and support each other, we create extraordinary outcomes—delivering value for our people, partners, and stakeholders while building stronger, more resilient communities. At Côté Gold, we’re leading the way in modern mining. With an 18+ year mine life, Côté Gold will inject C$5 billion in wages into the economy and create lasting benefits for the region. Over 600 full-time jobs and strong partnerships with Mattagami and Flying Post First Nations mean you’ll be part of something bigger—building prosperity and progress for generations. Industry leaders call us “a model for modern mining and sustainability”, and you can help write the next chapter. Want to Learn More About IAMGOLD? Check out the IAMGOLD Blog Read about our Côté Gold About the role: We are actively seeking an Autonomous Hardware and Radio Technician to join the Côté Gold Mine Site. This role is responsible for the reliable operation of the hardware and radio systems that support the autonomous haulage and drill fleet. The Autonomous Hardware/Radio Technician ensures safe, effective and timely implementation, configuration and maintenance of the operational mining technology network and wireless communication systems. This role will be based on our Cote Gold Mine Site (Gogama, ON), on a rotational schedule. Responsibilities: Install, repair, and maintain wired/wireless communications for autonomous haulage and drill equipment Deploy VHF/UHF, WIFI mesh, and microwave systems to support High Precision Machine Guidance Execute preventative maintenance and inspections to ensure all hardware meets safety and performance standards Identify field inefficiencies and apply Command for Haulage expertise to improve fleet throughput and quality Troubleshoot technical issues while weighing impacts on time, cost, sustainability, and safety Manage mining databases, fleet management software, and equipment logs to ensure reporting accuracy Partner with Mine Operators and Control teams to coordinate shift deliverables and resolve fleet problems Train new team members and manage Fleet Management System (FMS) inventory to prevent downtime Key Skills & Knowledge: Grade 12 or equivalent. College diplomas or university degrees in a related field such electrical, OT, autonomous systems technology is considered an asset Relevant Experience: 5 or more years of experience as an electrician or 5 or more years of experience supporting communications infrastructure (Ethernet, fiber-optic, radio, microwave, wireless). Experience with Fleet Management Systems, Autonomous Mining Systems, High Precision Machine Guidance, Cisco Wi-Fi and LTE Radio Systems is considered an asset. Experience installing, maintaining and fault-finding radio communications equipment and Fleet Management Systems is considered an asset; Mining experience may be considered an asset but is not required. Skills & Strengths, We Value: Highly organized and possess excellent analytical and problem-solving skills with the ability to prioritize effectively in a high-pressure environment. An aptitude for learning technical material and are detail orientated. Understanding of Microwave PTP, PTMP based radio and antennae systems; and Ability to read and interpret electronic schematics and Technical Specifications. What we Offer: At IAMGOLD, we don’t just reward performance we invest in your potential. Our total rewards package is designed to support your well-being today and encourage your growth for tomorrow. Because the future of mining, and your career, starts here. • Comprehensive Health Coverage – Extended health, dental, and insurance benefits for peace of mind. • Flexible Spending Power – Health & Personal Spending Accounts to fit your evolving needs. • Support When It Matters – Employee & Family Assistance Program for life’s challenges. • Future-Ready Savings – Registered Pension Plan with company match, plus TFSA & RRSP options. • Shared Success – Employee Share Purchase Plan with company match—because we grow together. Salary Range: $89,000-122,400 The final offer is determined based on your individual skills, qualifications, and competencies and aligned with our commitment to internal equity. We recognize that not everyone will meet every requirement listed, and that’s okay. If this role excites you and you believe you have relevant experience or transferable skills, we encourage you to apply. We value potential and are committed to supporting growth and development. We’re an equal opportunity employer, committed to building a workplace where every perspective sparks progress. We welcome applications from women, Indigenous Peoples, visible minorities, persons with disabilities, and members of the 2SLGBTQIA+ community. Need accommodation during the recruitment process? Just let us know, we’ll make it happen. Mining. Redefined. We’re building a modern mining company driven by innovation, accountability, and a deep commitment to sustainability. Please note that IAMGOLD does not use AI tools within our applicant tracking system to support the screening of applications Canada", "summaryDescription" : "Autonomous Hardware and Radio Technician at IAMGOLD. Skills: Autonomous hardware, Radio systems, Mining technology, Wireless communication. Install wired/wireless communications. Repair wired/wireless communications", "createdAt" : "2026-06-14T00:42:33.594", "lastUpdated" : "2026-06-15T07:49:22.001", "ingestTimestamp" : "2026-06-14T00:42:33.594", "mongoId" : "69ce5e199bc74574cb674d4c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Radio communications", "Fleet Management Systems", "Electronic schematics", "Technical specifications", "Autonomous hardware", "Radio systems", "Mining technology", "Wireless communication", "Problem-solving", "Prioritization", "Technical learning", "Autonomous haulage", "Drill fleet", "High Precision Machine Guidance", "Mining databases", "Autonomous Mining Systems", "Microwave PTP", "Microwave PTMP", "Command for Haulage", "Cisco Wi-Fi" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 859.5804, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Mining", "llmIndustryConfidence" : 0.95 }, { "id" : "6a191e7758b93c861e39f6b0", "title" : "Project & Product Management of Autonomous Driving", "company" : "Mercedes-Benz Group China Ltd.", "industry" : "Manufacturing", "salary" : { "min" : 650000.0, "max" : 1100000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Project & Product Management in the Automotive industry in Beijing, China, adjusted for company size and seniority." }, "location" : "China (Mainland)-Beijing-Beijing", "locations" : [ "China (Mainland)-Beijing-Beijing", "8 Boxing Road, BDA, Beijing" ], "timestamp" : "2026-06-16T01:46:38.785", "fingerprint" : "d9ec25ee665eef7e77503620db71e7d3ebffc0707de090e8551651c11cb0f8de", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=898617", "externalId" : "898617", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beijing", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "39.9057136,116.3912972" } ], "locationText" : "Beijing, China", "technicalSkills" : "AI", "professionalSkills" : [ "Product management", "Project management", "Resource management", "Risk management", "Supplier management", "Change management", "Business case evaluation", "Demand management", "Test management", "Legal evaluation", "Organization build-up" ], "hardSkillsList" : [ "Software development", "Hardware development", "Vehicle development", "Product industrialization" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Hardware development", "level" : "intermediate" }, { "name" : "Vehicle development", "level" : "intermediate" }, { "name" : "Product industrialization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Product management, Project management, Autonomous Driving, ADAS", "majorSkillsList" : [ "Product management", "Project management", "Autonomous Driving", "ADAS" ], "coreResponsibilities" : "Lead MB. OS ADAS product & project development, Coordinate project management for MB ADAS projects, Track product & project maturity status, Create transparency about project scopes and timeline, Report project status, Manage resources, Manage risks, Co-work with Domain regards of supplier management, Maintain development project management system, Act as interface between different projects, Provide development project information, Provide technical consultant, Define cross functional ADAS product development system, Define cross functional ADAS product development tools, Own defined product development system, Own defined product development tools, Provide transparency to stakeholders, Drive development of system and processes, Plan project resources, Plan project budget, Align with RD HQ, Align with controlling, Lead resource lifecycle management, Utilize planned resource intelligently, Create project holistic overview, Update project premise handbook, Update project timeline, Communicate cross domainly, Define project scope, Define feature roll-out plan, Monitor implementation status, Defect project risks, Support supplier dialog, Support supplier meetings, Align product strategy, Support project business case evaluation, Support RD related funding, Manage escalation, Manage project delay, Manage resource shortage, Manage critical supplier performance, Steer change requests, Manage change cost, Manage change timeline, Provide technical support, Support surrounding processes, Support demand management, Support test management, Support legal evaluation, Support team matters, Support organization build-up", "teamCollaboration" : "Cross functional teams; Multi-stakeholder management; Diverse business partners", "projectManagementSkills" : [ "Agile", "Scrum", "PMP", "Jira", "Confluence" ], "domainKnowledge" : "Autonomous Driving; ADAS; Vehicle hardware; Vehicle software; Vehicle EE architecture; Vehicle SW architecture; Carline product industrialization; Series production; China-fit product", "domainList" : [ "autonomous-driving", "adas", "vehicle-hardware", "vehicle-software", "vehicle-ee-architecture", "vehicle-sw-architecture", "carline-product-industrialization", "series-production", "china-fit-product" ], "domainSpecificKnowledge" : [ "Autonomous Driving", "ADAS", "Vehicle hardware", "Vehicle software", "Vehicle EE architecture", "Vehicle SW architecture", "Carline product industrialization", "Series production", "China-fit product" ], "toolProficiency" : [ "MS Office", "PowerPoint", "Excel", "Word", "Jira", "Confluence" ], "communicationSkills" : "Presentation skills", "specialRequirements" : "Willingness to travel", "qualificationsBasic" : "Master degree in electrical engineering, software engineering or computer science, 5+ years of experience in software development projects, Excellent skills in multi-stakeholder management, Good skills in conflict management, Advanced MS Office skills, Very good English", "qualificationsPreferred" : "Work experience at OEMs or suppliers, E/E especially ADAS and SW development experience, Working experience in international company, Experience with ADAS components/application, Experience working in an Agile development environment, Experience as scurm master or product owner, Advance knowledge in project management methodologies, PMP certification, Good knowledge & experiences about hardware/software/carline product industrialization, Know-how with vehicle EE architecture, Know-how with SW architecture/development, Familiar with vehicle development process, Experiences in collaboration with Joint venture partner, Experiences in supplier management, Good spirit, knowledge & experiences about AI tools, German language skills", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : " Object : Responsible as project lead for MB.OS ADAS product & project development for MB carlines in China market. Leading and coordinating the project management for MB ADAS projects in sense of development & industrialization phase, carline rollout phase and also change management within lifecycle. Responsible for product & project maturity status tracking towards carline SoP. Create transparency about projects scopes and timeline, be responsible for project status report, resources management and risk management, co-work with Domain regards of supplier management, maintain an efficient development project management system within the project lifecycle time Job designation/Field of work: Collaborate with different stakeholders, acting as the interface between different projects and providing necessary development project information and technical consultant for relevant stakeholders . Define and conduct cross functional ADAS product development system and tools for China market development projects. In order to create transparency for project milestone cross domainly, as well as resource distribution . Own the defined product development system and tools and provide the transparency to all stakeholders. Drive continously the development of the system and processes to ensure the high requirement of project management and effienciency . Project resource & budget planning including FTE & VMAT etc and alignment with RD HQ and controlling. Lead the resource lifecycle management according to different project . phases/workloads/milestone in order to ultilize the planned resource in an intelligent and reasonable way. Regular project status report to create project holistic overview for the relevant stakeholders and management . Regular project premise handbook and timeline update and cross domain communication to FO/PO and management . Define project scope and feature roll-out plan and monitoring the implementation status on each milestone . Management escalation by defecting project risks as earlier as possible. Support supplier dialog/meetings with management for critical projects . Product strategy alignment with multi - stakeholders . Support on project business case evaluation including RD related funding . Escalation and risk management: e.g. project delay, resource shortage, critical supplier performance at the delivery milestone etc. Change management during the project lifecycle time: Overall steering the change requests, cost and timeline management for the change implementation . Technical support for Project leaders and function managers with project management knowledge . Support surrounding processes (demand management, test management, legal evaluation) to cover the complete lifecycle of delivering a “China-fit” product. Support on Team matters, and organization build-up . Qualifications: Education: Master degree in electrical engineering, software engineering or computer science, or similar major Experience: Good knowledge/experience about vehicle hardware/software development project . Work experience at OEMs or suppliers for E/E especially ADAS and SW development is a plus. At least 5+ years of experience in software development projects . At least 5+ years of experience in software development projects . Working experience in international company is a plus. Experience with ADAS components/application is plus, e.g. Auto Parking, Driving assistant system, AEB… Experience working in an Agile development environment, Agile/Scrum methodology, experience as scurm master or product owner is plus . Specific Knowledge & requirements: Advance knowledge in terms of methodologies in project management, e.g. project plan, risk analysis, PMP is a plus. Good understanding about hardware & software development & quality methodologies, good knowledge & experiences about hardware/software/carline product industrialization for vehicle series production . Know-how with vehicle EE architecture and SW architecture/development is a plus . Familiar with vehicle development process is an advantage, experiences in collaboration with Joint venture partner or is a plus . Experiences in supplier management is a plus . Excellent skills in multi-stakeholder management and diverse business partners, experiences and good skills in conflict management is need . Advanced MS Office skills in PowerPoint, Excel and Word. Good spirit, knowledge & experiences about AI tools is a plus . Experience with Jira and Confluence or similar PM tools. Self-responsibility with high motivation for moving things forward, team player with team spirit . Leading and drive spirit with excellent communication, interpersonal and presentation skills . Willingness to travel inside China and foreign countries. Open minded for taking over challenges & responsibility with resilience . Very good English. German is a plus. Mercedes-Benz Group China Ltd.", "summaryDescription" : "Project & Product Management of Autonomous Driving at Mercedes-Benz Group China Ltd.. Skills: Product management, Project management, Autonomous Driving, ADAS. Lead MB. OS ADAS product & project development. Coordinate project management for MB ADAS projects", "createdAt" : "2026-06-14T19:19:36.333", "lastUpdated" : "2026-06-16T01:46:38.785", "ingestTimestamp" : "2026-06-14T19:19:36.333", "mongoId" : "6a191e7758b93c861e39f6b0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Software development", "Hardware development", "Vehicle development", "Product industrialization", "Leadership", "Product management", "Project management", "Autonomous Driving", "ADAS", "Resource management", "Risk management", "Supplier management", "Change management", "Business case evaluation", "Demand management", "Test management", "Legal evaluation", "Organization build-up", "Agile", "Scrum", "PMP", "Jira", "Confluence", "Vehicle hardware", "Vehicle software", "Vehicle EE architecture", "Vehicle SW architecture", "Carline product industrialization", "Series production", "China-fit product", "MS Office", "PowerPoint", "Excel", "Word" ], "skillCount" : 34, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "_score" : 853.6517, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "69ce5e3b9bc74574cb677b0f", "title" : "Section Lead, Autonomous Driving Toolchain & Platform", "company" : "Mercedes-Benz Group China Ltd.", "industry" : "Technology", "salary" : { "min" : 750000.0, "max" : 1200000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Section Lead in Autonomous Driving Toolchain & Platform in Beijing, China, adjusted for industry and company size." }, "location" : "China (Mainland)-Beijing-Beijing", "locations" : [ "China (Mainland)-Beijing-Beijing", "Daimler Tower 8, Wangjing Street Chaoyang District, , Beijing" ], "timestamp" : "2026-06-15T08:44:56.414", "fingerprint" : "40e6bf914074d3a1f83f99a9ef91470180e6aa8ee894b85198cb8afbc2230da4", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=876833", "externalId" : "876833", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beijing", "state" : "Beijing", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "39.9011168,116.4210134" } ], "locationText" : "Beijing, Beijing, China", "experienceMinYears" : 5, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "C, C++, Java, Java script, Python, Machine Learning, Data, Artificial Intelligence, Gen AI model, Cloud computing, Cloud-based platform architectures, CI/CD, DevOps", "professionalSkills" : [ "Supplier management", "Project management" ], "hardSkillsList" : [ "Software engineering principles", "Software development lifecycle" ], "softSkillsList" : [ "Leadership", "Conflict management" ], "hardSkills" : [ { "name" : "Software engineering principles", "level" : "intermediate" }, { "name" : "Software development lifecycle", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Conflict management" } ], "majorSkills" : "Autonomous Driving, Toolchain, Platform", "majorSkillsList" : [ "Autonomous Driving", "Toolchain", "Platform" ], "coreResponsibilities" : "Lead Autonomous Driving Toolchain & Platform section, Deliver IT solutions on Automated Driving System area, Enable ADAS/AD development and testing, Design cloud-based solutions, Deliver micro-service-oriented solutions, Deliver partner agnostic solutions, Deliver data driven solutions, Observe markets and competitors, Identify development potentials, Ensure competitiveness of MB systems, Cooperate with local and global IT, Cooperate with RD stakeholders, Act as bridge between Germany CoC, Act as bridge to local RD business partners, Bring transparency to both sides, Improve engagement from beginning phase, Establish cooperation model with core customers, Gear up communication process, Provide analyses to customers, Provide recommendations to customers, Provide presentation to customers, Provide demonstration to customers, Provide advice to customers, Drive team transformation, Build up internal development competence, Ramp up ADAS knowledges, Ramp up interior sensing knowledges, Ramp up vital sensing knowledges, Incubate system development competency, Offer feedback for team members development, Provide guidance to team members, Provide coaching to team members, Ensure team members best delivery, Report team member performance, Report team member progression, Report team member training needs, Report team member disciplinary issues, Follow up on employee surveys, Manage team building topics, Create environment with trust, Create environment with respect, Create environment with belonging, Maintain dev-test platform, Support new dev-test platform development, Manage new dev-test platform projects, Enhance local development competence, Deliver best AD services, Breakdown company strategy to employees, Define team mission, Define team initiatives, Define team tasks, Achieve department OKR, Setup team regular communication, Setup team shop floor meeting, Support team member individual development, Guide team members for decision making, Monitor team performance, Ensure quality of team delivery, Facilitate resource planning, Facilitate budget control, Participate in CoC HQ strategy, Communicate with management level, Support global RD and IT strategy, Breakdown HQ strategy, Realize needed actions in China, Bring RD China consideration back to HQ, Communicate with CoC partners, Share RD IT solution, Bring impact to Germany from China, Be aware of central RD methodologies, Be aware of central RD concepts, Be aware of central RD toolchains, Introduce central application, Bridge local business units with HQ, Coordinate with other IT departments, Drive co-creative innovation, Share IT knowledge, Share business process, Lead IT RD owned topics, Keep learning IT technology, Update knowledge on IT technology, Update knowledge on RD business process, Ensure IT RD security, Ensure IT RD governance, Follow standard company compliance, Support IT security guidelines, Ensure demands meet IT security guidelines, Ensure processes are compliance, Provide Audit support", "teamCollaboration" : "Local and global IT; RD stakeholders; Germany CoC; Local RD business partners; Core customers; MBGC IT departments", "projectManagementSkills" : [ "Agile", "SAFe", "Project management" ], "domainKnowledge" : "Autonomous Driving; ADAS; Data mining; Algorithm transplanting; Automotive-grade chips; Data closed-loop system; BEV perception; DriveGPT; AD/ADAS solutions; AD/ADAS toolchain; System release process; Function release process; China local suppliers; International suppliers; Machine Learning; Data; Artificial Intelligence; AI/Gen AI model; AD/ADAS security; Data compliance; IT RD security; Company compliance; China CCSL", "domainList" : [ "autonomous-driving", "adas", "data-mining", "algorithm-transplanting", "automotive-grade-chips", "data-closed-loop-system", "bev-perception", "drivegpt", "ad-adas-solutions", "ad-adas-toolchain", "system-release-process", "function-release-process", "china-local-suppliers", "international-suppliers", "machine-learning", "data", "artificial-intelligence", "ai-gen-ai-model", "ad-adas-security", "data-compliance", "it-rd-security", "company-compliance", "china-ccsl" ], "domainSpecificKnowledge" : [ "Autonomous Driving", "ADAS", "Data mining", "Algorithm transplanting", "Automotive-grade chips", "Data closed-loop system", "BEV perception", "DriveGPT", "AD/ADAS solutions", "AD/ADAS toolchain", "System release process", "Function release process", "China local suppliers", "International suppliers", "Machine Learning", "Data", "Artificial Intelligence", "AI/Gen AI model", "AD/ADAS security", "Data compliance", "IT RD security", "Company compliance", "China CCSL" ], "toolProficiency" : [ "Orin", "Xavier", "TI TDA4" ], "communicationSkills" : "Analyses; Recommendations; Presentation; Demonstration; Advice", "continuousLearning" : "Keep learning; Continuously updating knowledge", "innovationCreativity" : "Co-creative innovation", "qualificationsBasic" : "5+ years auto-driving backend platform experience, 5+ years coding experience on AD/ADAS areas, Bachelor degree or above", "qualificationsPreferred" : "German is bonus point", "remoteFriendly" : false, "rawDescription" : "Objective of job • Lead “Autonomous Driving Toolchain & Platform” section. Be responsible for IT solutions delivery on Automated Driving System area, enabling ADAS/AD development and testing etc., good understanding of MB company strategies and be able to breakdown the strategy from department level to employees, promote lean-agile mindsets on team level, always keep IT RD security and company compliance in mind. • Delivery: Focus on our business partner’s requirements based on Product Orientation, design and deliver cloud-based, micro-service-oriented, partner agnostic, data driven development and testing solutions together with RD partner. Observe the Chinese and global markets and competitors, identify development potentials and ensure competitiveness of MB systems. • Communication & Cooperation: Good cooperation with local and global IT, RD stakeholders. Acting as a bridge between central of competence from Germany and local RD business partners, bring transparency to both sides and improve engagement from the beginning phase. Establish reliable and aligned cooperation model with core customers and gear up the communication process. Acting as a key window facing client, focusing on providing analyses, recommendations, presentation, demonstration, and advice to customers. • Team Management: Assist supervisor to drive team transformation, build up internal development competence, ramp up ADAS, interior sensing and vital sensing knowledges, incubate in depth system development competency. • People Management: As section lead, offer professional and constructive feedback for team members development, provide guidance and coaching to ensure the team members best delivery, report to supervisor on team member’s performance, progression, training needs and disciplinary issues, assist supervisor on section team employee survey follow-ups and team building topics, create and maintain an environment with trust, respect, and a sense of belonging among team members. Job designation • Autonomous Driving Enablement solutions delivery -Previous ADAS dev-test platform maintenance. -New dev-test platform development support and knowledge ramp up. -New dev-test platform project management and delivery together with MB RD China. -Support, drive and enhance local development competence to delivery best AD services with MB RD China business partner. • Section team management -Bring transparency to the team, and breakdown company strategy and management request to employees, and define team mission, initiatives, and tasks accordingly. -Together with team members achieve department OKR. -Setup and maintain team regular communication and shop floor meeting. -Support team member individual development plan. -Engage and guide team members for decision making. -Monitor team performance and make sure the quality of team delivery. -Facilitate resource planning and budget control. • Be involved in CoC HQ strategy and regular communication from management level. -Support from China local side as global RD and IT strategy required. -Understand and breakdown the strategy from HQ and realize the needed actions in China. -Bring RD China’s consideration back to the HQ for being involved in every beginning phase. -Close communicate with CoC partners for shared RD IT solution for Germany and China. -Based on IT RD strategy bring the impact to Germany from China. -Be aware of central RD methodologies, concepts, and toolchains, introduce central application to meet local needs and bridge local business units with HQ for customization. • Cross business cooperation within MBGC IT departments -Coordinate and cooperate with other related IT departments. -Drive co-creative innovation to create value for our company in IT area. -Share IT knowledge and business process for IT solution integration. -Be responsible for leading IT RD owned topics and cooperate with other departments. -Keep learning and continuously updating knowledge on IT technology, RD business process. • Ensure IT RD security and governance based on China CCSL and company requirements. Follow standard company compliance requirements. -Follow, support and ensure all demands meet the IT security guidelines -Ensuring processes are compliance and provide Audit support. Qualification •Education: -Bachelor degree or above at Computer Science, Intelligent Science, EE, Information Engineering related majors. •Experience: -5+ years auto-driving backend platform experience with focus on data-driven development in the field of AD/ADAS for series passenger car projects. Familiar with the application of large models (such as BEV perception, DriveGPT) in autonomous driving; Experience in transplanting algorithms for automotive-grade chips (Orin/Xavier, TI TDA4); Participated in the construction of an autonomous driving data closed-loop system and is familiar with the entire process of data mining-labeling-training-deployment. -5+ years coding experience on AD/ADAS areas, familiar with C, C++, Java, Java script, Python etc. -Deep understanding about global & local competitor’s AD/ADAS solutions and toolchain, system & function release process and relevant China local & international suppliers. -Familiar with the application of large models (such as BEV perception, DriveGPT) in autonomous driving, experience in transplanting algorithms for automotive-grade chips (Orin/Xavier, TI TDA4), participated in the construction of an autonomous driving data closed-loop system and is familiar with the entire process of data mining-labeling-training-deployment. -Experience on cloud computing, cloud-based platform architectures, CI/CD and DevOps. -Deep understanding and experience on Machine Learning, Data, Artificial Intelligence, AI/Gen AI model. -Familiar with AD/ADAS related security and data compliance. -Solid SW engineering experience, proficient in software engineering principles, software development lifecycle, project management, supplier management. -Good knowledge of Agile, SAFe, ASPICE. -Strong self-motivation, team motivation ability. -Strong ownership, result driven, willing to win. -Big picture thinking and good insight. -Excellent cross-functional communication, coordination, and conflict management skills. -Fluent in English and Chinese, German is bonus point. Mercedes-Benz Group China Ltd.", "summaryDescription" : "Section Lead, Autonomous Driving Toolchain & Platform at Mercedes-Benz Group China Ltd.. Skills: Autonomous Driving, Toolchain, Platform. Lead Autonomous Driving Toolchain & Platform section. Deliver IT solutions on Automated Driving System area", "createdAt" : "2026-06-14T01:09:14.399", "lastUpdated" : "2026-06-15T08:44:56.414", "ingestTimestamp" : "2026-06-14T01:09:14.399", "mongoId" : "69ce5e3b9bc74574cb677b0f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Software engineering principles", "Software development lifecycle", "Leadership", "Conflict management", "Autonomous Driving", "Toolchain", "Platform", "Supplier management", "Project management", "Agile", "SAFe", "ADAS", "Data mining", "Algorithm transplanting", "Automotive-grade chips", "Data closed-loop system", "BEV perception", "DriveGPT", "AD/ADAS solutions", "AD/ADAS toolchain", "System release process", "Function release process", "China local suppliers", "International suppliers", "Machine Learning", "Data", "Artificial Intelligence", "AI/Gen AI model", "AD/ADAS security", "Data compliance", "IT RD security", "Company compliance", "China CCSL", "Orin", "Xavier", "TI TDA4" ], "skillCount" : 36, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "_score" : 839.7356, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69ce5e3b9bc74574cb677a05", "title" : "Working Student Autonomous Driving Research", "company" : "Mercedes-Benz AG", "industry" : "Manufacturing", "salary" : { "min" : 48000.0, "max" : 60000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level working student in the automotive industry in Sindelfingen, Germany, adjusted for company size and industry." }, "location" : "Germany-Baden-Württemberg-Sindelfingen", "locations" : [ "Germany-Baden-Württemberg-Sindelfingen", "Kolumbusstr. 19 21, , Sindelfingen" ], "timestamp" : "2026-06-15T03:31:20.398", "fingerprint" : "5939c9fb5ac3cab3645fe55e3604a4f0dce1a64f5784e636da86777b73dc4848", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=888850", "externalId" : "888850", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sindelfingen", "state" : "Baden-Württemberg", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "48.7084162,9.0035455" } ], "locationText" : "Sindelfingen, Baden-Württemberg, Germany", "employmentType" : "INTERNSHIP", "minimumEducation" : "Master's", "technicalSkills" : "Python, C++, Linux, Convolutional Neural Networks, Vision Transformers, Diffusion Networks, Deep learning, Computer Vision, Foundation Models, Generative AI, LLM, VLM, VLAM, Docker", "professionalSkills" : [ "Data processing", "Model training", "Validation", "Literature research", "Algorithm evaluation", "Problem-solving" ], "hardSkillsList" : [ "Automated dataset preparation", "Coding framework development", "Data processing", "Model training", "Validation", "Literature research", "Algorithm analysis", "Performance evaluation" ], "softSkillsList" : [ "Motivation", "Independence" ], "hardSkills" : [ { "name" : "Automated dataset preparation", "level" : "intermediate" }, { "name" : "Coding framework development", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Model training", "level" : "intermediate" }, { "name" : "Validation", "level" : "intermediate" }, { "name" : "Literature research", "level" : "intermediate" }, { "name" : "Algorithm analysis", "level" : "intermediate" }, { "name" : "Performance evaluation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Motivation" }, { "name" : "Independence" } ], "majorSkills" : "Autonomous Driving, Neural Networks, Generative Models, Data Generation", "majorSkillsList" : [ "Autonomous Driving", "Neural Networks", "Generative Models", "Data Generation" ], "coreResponsibilities" : "Prepare datasets, Contribute to coding framework, Conduct literature research, Analyze algorithm performance, Evaluate algorithm performance, Participate in meetings, Discuss project progress, Share insights, Support problem-solving", "teamCollaboration" : "Diverse team; International colleagues", "domainKnowledge" : "Autonomous driving; Urban navigation; Neural network architectures; Generative models; End-to-end driving systems; Foundation Models; Generative AI; LLM; VLM; VLAM", "domainList" : [ "autonomous-driving", "urban-navigation", "neural-network-architectures", "generative-models", "end-to-end-driving-systems", "foundation-models", "generative-ai", "llm", "vlm", "vlam" ], "domainSpecificKnowledge" : [ "Autonomous driving", "Urban navigation", "Neural network architectures", "Generative models", "End-to-end driving systems", "Foundation Models", "Generative AI", "LLM", "VLM", "VLAM" ], "toolProficiency" : [ "Pytorch", "Docker" ], "communicationSkills" : "Communication skills", "continuousLearning" : "Literature research", "innovationCreativity" : "Novel neural network architectures; Pioneering methods; Innovative approaches", "problemSolvingSkills" : "Problem-solving", "specialRequirements" : "6-12 months duration", "outcomesObjectives" : "Enhance safety; Enhance reliability; Improve performance; Improve adaptability; Navigate complex scenarios", "qualificationsBasic" : "Master’s degree in quantitative field, Working student position, English and/or German fluency, Object-oriented programming skills, Linux familiarity, Convolutional Neural Networks understanding, Vision Transformers understanding, Diffusion Networks understanding, Communication skills in remote environment, Ability to think ahead, Independence", "qualificationsPreferred" : "Deep learning frameworks familiarity, Computer Vision familiarity, Foundation Models familiarity, Generative AI familiarity, LLM / VLM/VLAM experience, Docker experience, German language proficiency", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Are you passionate about robots taking over the world? Then look no further! We are constantly looking for highly motivated students to join our autonomous car research team in Stuttgart, Germany in the following area: Navigating urban areas presents unique challenges for autonomous vehicles, requiring sophisticated algorithms and custom-generated data to ensure safety and reliability. Within the publicly funded projects STADT:up (stadtup-online.de) and nxtAIM (nxtaim.de), we are dedicated to developing advanced algorithms to address these challenges. Our research focuses on developing novel neural network architectures that enhance the safety and reliability of autonomous vehicles in urban areas. In addition to that, we are pioneering methods to generate new data, which is vital for training and optimizing our models. These innovative approaches aim to improve the performance and adaptability of autonomous driving systems, enabling them to navigate complex urban scenarios safely and efficiently. You can look forward to working with a diverse team of international colleagues and enjoying good coffee as well as the occasional cake (we love it when you bring one to share!). The tasks of the working student will include: Prepare large-scale automated driving datasets for training and evaluation purposes. Contribute to the development and maintenance of the coding framework for data processing, model training, and validation of end-to-end driving systems. Conduct literature research to familiarize yourself with the latest advancements in autonomous driving and generative models Analyze and evaluate algorithm performance using public and in-house datasets, identifying strengths and areas for improvement Participate in regular meetings to discuss project progress, share insights, and support collaborative problem-solving The activity can begin from Mai 2026. Minimum Skills Required: Pursuing a Master’s degree in a highly quantitative field such as Computer Science, Physics, Mathematics, Electrical Engineering or adjacent fields Looking for a working student position Fluency in English and/or German Strong programming skills in an object-oriented programming language such as Python/ C++ Familiarity with Linux Understanding of Convolutional Neural Networks/Vision Transformers/Diffusion Networks Strong communication skills in a partially remote work environment Ability to think ahead / Independence Nice to haves but not required: Familiarity with deep learning frameworks such as Pytorch Familiarity with Computer Vision, Foundation Models, Generative AI Familiarity with LLM / VLM/VLAM Experience with Docker German language Additional information: The position is based at our research lab in Sindelfingen (partial remote work possible) Ideally candidates are available for a duration of 6-12 months We only consider applications that are attached by at least a curriculum vitae, a motivation letter as well as a recent transcript of records For further information, please feel free to contact us via email We look forward to receiving your online application, including a resume, cover letter, certificates, current certificate of enrollment stating your semester, and proof of the standard period of study. Please remember to mark your documents as \"relevant for this application\" in the online form and observe the maximum file size of 5 MB. You can find further information on the hiring criteria here . Severely disabled applicants and applicants with equivalent status are welcome! The representative for severely disabled employees (sbv-sindelfingen@mercedes-benz.com) will gladly support you in the application process. HR Services will be happy to help you with any questions you may have about the application process. You can reach us by email at myhrservice@mercedes-benz.com or by phone at 0711/17-99000 (Mon-Fri 10am-12pm & 1pm-3pm). Mercedes-Benz AG", "summaryDescription" : "Working Student Autonomous Driving Research at Mercedes-Benz AG. Skills: Autonomous Driving, Neural Networks, Generative Models, Data Generation. Prepare datasets. Contribute to coding framework", "createdAt" : "2026-06-14T01:07:48.547", "lastUpdated" : "2026-06-15T03:31:20.398", "ingestTimestamp" : "2026-06-14T01:07:48.547", "mongoId" : "69ce5e3b9bc74574cb677a05", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Automated dataset preparation", "Coding framework development", "Data processing", "Model training", "Validation", "Literature research", "Algorithm analysis", "Performance evaluation", "Motivation", "Independence", "Autonomous Driving", "Neural Networks", "Generative Models", "Data Generation", "Algorithm evaluation", "Problem-solving", "Autonomous driving", "Urban navigation", "Neural network architectures", "Generative models", "End-to-end driving systems", "Foundation Models", "Generative AI", "LLM", "VLM", "VLAM", "Pytorch", "Docker" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 823.41455, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a25145374d8ee00a00bb399", "title" : "Flight Test Drone Operator", "company" : "Amazon.com Services LLC", "industry" : "Fulfillment Operations Management, Drone Operations, Retail", "salary" : { "min" : 33.0, "max" : 58.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "certifications" : [ "FAA Part 107 Remote Pilot Certificate", "FAA-issued 2nd Class Medical Certificate" ], "timestamp" : "2026-06-15T07:34:20.314", "fingerprint" : "49c7bf0e23bbddc28b13175a5a27a4c57c6b20a9cf7616be565c017c4ee4cd9a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10441441/apply", "externalId" : "bf1888c2-819e-4541-8ac5-aed39efb0294", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "UAS, COTS drones", "professionalSkills" : [ "Flight discipline", "Logistics planning", "Risk assessment", "Process improvement" ], "hardSkillsList" : [ "Flight test execution", "Drone troubleshooting", "Ground support troubleshooting" ], "softSkillsList" : [ "Leadership", "Flexibility", "Mentoring" ], "hardSkills" : [ { "name" : "Flight test execution", "level" : "intermediate" }, { "name" : "Drone troubleshooting", "level" : "intermediate" }, { "name" : "Ground support troubleshooting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Flexibility" }, { "name" : "Mentoring" } ], "majorSkills" : "Drone operation, Flight testing, Team leadership", "majorSkillsList" : [ "Drone operation", "Flight testing", "Team leadership" ], "coreResponsibilities" : "Operate autonomous UAS flights, Fly COTS drones, Make real-time decisions, Execute flight tests, Review test cards, Handle contingencies, Escalate engineering issues, Follow through corrective actions, Operate test infrastructure, Maintain test machinery, Perform flight line maintenance, Conduct risk assessments, Lead safety briefings, Lead weather briefings, Lead flight profile briefings, Deliver flight reports, Deliver productivity reports, Create Standard Operating Procedures, Review Standard Operating Procedures, Improve Standard Operating Procedures, Identify process gaps, Drive process resolution, Apply troubleshooting procedures, Identify root causes, Resolve defects, Escalate defects, Support engineering customers, Ensure accurate test execution, Communicate test status, Ensure data traceability, Execute ground test requests, Contribute to crew scheduling, Mentor junior specialists, Develop junior specialists, Operate as Trainer, Operate as Evaluator, Participate in post-event reviews, Document lessons learned, Implement corrective actions, Communicate proactively, Reduce quality issues, Reduce accuracy issues, Reduce safety issues, Escalate immediate issues, Participate in hiring activities, Evaluate candidates", "teamCollaboration" : "Partner teams; Engineering customers; Flight test crew; Junior specialists", "projectManagementSkills" : [ "Logistics planning" ], "domainKnowledge" : "Drone technology; Autonomous aviation; Aviation safety; FAA regulations", "domainList" : [ "drone-technology", "autonomous-aviation", "aviation-safety", "faa-regulations" ], "domainSpecificKnowledge" : [ "Drone technology", "Autonomous aviation", "Aviation safety", "FAA regulations" ], "toolProficiency" : [ "Ground support equipment" ], "communicationSkills" : "Effective communication", "innovationCreativity" : "Fosters innovation", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "specialRequirements" : "Travel up to 50%, DOT drug and alcohol testing, Export control license", "qualificationsBasic" : "FAA Part 107 Remote Pilot Certificate, 1+ year(s) experience as lead PIC, Current FAA-issued 2nd Class Medical Certificate, Experience with remote-control aircraft, Valid Driver's License", "qualificationsPreferred" : "Experience in aviation regulatory compliance, Experience leading teams, Bachelor's degree in relevant field, Aviation safety experience, Commercial drone industry experience, 2+ years of RC pilot experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "How do you deliver items to customers quickly, cost-effectively, and-most importantly-safely, in under an hour? And how do you do it in a way that scales? Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been working hard to do just that! We're already delivering to customers and are excited about what's to come. For more details, check out the About Amazon blog: https://www.aboutamazon.com/news/transportation/amazon-delivery-drones-safety-testing If you're looking for an environment that fosters innovation, where you can apply state-of-the-art technologies to solve real-world delivery challenges and make a positive impact on customers, Prime Air is the place for you. Join the Amazon Prime Air Team! Prime Air is seeking an experienced Flight Test Operator who possesses strong judgment and adheres to strict flight discipline. Success in this role requires leadership, attention to detail, a safety-first mindset, flexibility, and a passion for drone technology. The ideal candidate thrives in a fast-paced environment and consistently delivers results on time. We are looking for a candidate who has a Private Pilot License, a current Part 107 certificate, and experience with drones. This candidate will be expected to lead a team for field operations, conduct flight tests, perform limited drone and ground support equipment troubleshooting, and support flight readiness activities and logistics planning. Experience with aviation safety is highly preferred. Export Control License: This position may require a deemed export control license for compliance with applicable laws and regulations. Placement is contingent on Amazon's ability to apply for and obtain an export control license on your behalf. This position may be subject to Department of Transportation (DOT) drug and alcohol testing if conducting safety-sensitive functions as defined by the FAA. This includes pre-employment drug testing, random drug and alcohol testing, and testing in the event of an accident or incident. Employees must also submit to reasonable suspicion drug and alcohol testing when necessary. The FAA has strict requirements for drug testing, including the types of drugs tested for, the procedures for collecting and testing samples, and the consequences of a positive test. Federal law also requires Amazon to determine an applicant's DOT drug and/or alcohol testing history prior to hiring them into a position that would require them to conduct safety-sensitive. Key job responsibilities Operate and monitor autonomous UAS flight paths; fly COTS drones for data collection missions, making real-time decisions within established procedures. Execute flight tests as a crew member, including formal drone handoff, test card review, contingency handling, and engineering escalation with follow-through on corrective actions. Operate and maintain test infrastructure, machinery, auxiliary vehicles, and ground support equipment; perform flight line maintenance between flights. Conduct risk assessments, lead safety/weather/flight profile briefings, and deliver flight and productivity metric reports. Create, review, and improve Standard Operating Procedures (SOPs); identify process gaps and drive resolution with partner teams. Apply troubleshooting procedures to identify root causes of defects and resolve or escalate appropriately. Support engineering customers during flight test execution, ensuring accurate test execution, clear communication of status, and traceability of flight test data. Execute ground test requests and contribute to crew scheduling. Mentor and develop junior specialists; operate as Trainer and Evaluator for flight test crew roles Participate in post-event reviews, document lessons learned, and implement corrective actions to prevent recurrence. Communicate proactively to reduce quality, accuracy, or safety misses; escalate issues requiring immediate attention. Participate in hiring activities including interviews and candidate evaluation. A day in the life Your day begins with a safety briefing—reviewing applicable weather conditions, airspace restrictions, and the flight profile for the mission ahead. You prep the aircraft, run pre-flight inspections, and coordinate with your crew before heading to the flight range. Throughout the day, you monitor autonomous UAS flights, troubleshoot issues in real-time, and document test results. Between flights, you mentor junior specialists, update SOPs based on lessons learned, and collaborate with engineering teams to resolve technical challenges. No two days look alike—you might fly a COTS drone for data collection in the morning and support developmental testing by afternoon. You'll go home knowing your work is shaping the future of drone delivery. About the team Prime Air is Amazon's drone delivery program, pioneering autonomous aviation to deliver packages safely and efficiently to customers' doorsteps. Our Flight Test team plays a critical role in proving the safety of our System —putting drones through rigorous testing that exceeds FAA requirements. From developmental test flights to real-world commercial operations, we blend creativity and engineering rigor to push boundaries in unmanned aviation. Our team collaborates across engineering, safety, and operations to shape the future of drone delivery. Join us and help redefine what's possible in the skies. Basic Qualifications: - FAA Part 107 Remote Pilot Certificate - Experience that includes strong analytical skills, attention to detail, and effective communication abilities - Travel up to 50% domestic travel with short notice - Current FAA-issued 2nd Class Medical Certificate or higher - Experience with remote-control aircraft/multi-rotor products - 1+ year(s) experience as a lead PIC or mission commander in a flight ops or flight test environment - Valid Driver's License and able to satisfy Amazon driver eligibility criteria Preferred Qualifications: - Experience in aviation regulatory compliance - Experience leading teams and driving results through team members - Bachelor's degree in relevant field - Aviation safety experience - Experience within the commercial drone industry - 2+ years of RC pilot experience with excellent coordination and execution Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 33.00 - 58.00 USD hourly", "summaryDescription" : "Flight Test Drone Operator at Amazon.com Services LLC. Skills: Drone operation, Flight testing, Team leadership. Operate autonomous UAS flights. Fly COTS drones", "postedDate" : "2026-06-13T16:38:37.474", "createdAt" : "2026-06-13T16:38:37.474", "lastUpdated" : "2026-06-15T07:34:20.314", "ingestTimestamp" : "2026-06-13T16:38:37.474", "mongoId" : "6a25145374d8ee00a00bb399", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10441441/apply", "salaryAnnualMin" : 68640, "salaryAnnualMax" : 120640, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Flight test execution", "Drone troubleshooting", "Ground support troubleshooting", "Leadership", "Flexibility", "Mentoring", "Drone operation", "Flight testing", "Team leadership", "Flight discipline", "Logistics planning", "Risk assessment", "Process improvement", "Drone technology", "Autonomous aviation", "Aviation safety", "FAA regulations", "FAA Part 107 Remote Pilot Certificate", "FAA-issued 2nd Class Medical Certificate", "Ground support equipment" ], "skillCount" : 20, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "_score" : 810.292, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace" }, { "id" : "6a191e7758b93c861e39f860", "title" : "Section Lead, Autonomous Driving Toolchain & Platform", "company" : "Mercedes-Benz Group China Ltd.", "industry" : "Technology", "salary" : { "min" : 650000.0, "max" : 1000000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Section Lead in Autonomous Driving Toolchain & Platform in Beijing, China, adjusted for industry and company size." }, "location" : "China (Mainland)-Beijing-Beijing", "locations" : [ "China (Mainland)-Beijing-Beijing", "Daimler Tower 8, Wangjing Street Chaoyang District, , Beijing" ], "timestamp" : "2026-06-15T10:00:41.603", "fingerprint" : "feb8eaf8d87d096e3631c8d2214ab92eb45c1051adc0580d5aee7e13aa8768b4", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=876833", "externalId" : "876833", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beijing", "state" : "Beijing", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "39.9011168,116.4210134" } ], "locationText" : "Beijing, Beijing, China", "experienceMinYears" : 5, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "C, C++, Java, JavaScript, Python, Machine Learning, Artificial Intelligence, Gen AI, Cloud computing, Microservices", "professionalSkills" : [ "IT solutions delivery", "Supplier management", "Project management", "Team management", "People management", "Budget control", "Resource planning" ], "hardSkillsList" : [ "Data mining", "Algorithm transplanting", "Software engineering" ], "softSkillsList" : [ "Leadership", "Mentoring", "Conflict management" ], "hardSkills" : [ { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Algorithm transplanting", "level" : "intermediate" }, { "name" : "Software engineering", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Conflict management" } ], "majorSkills" : "Autonomous Driving, Toolchain & Platform, DevOps, Cloud-based platform", "majorSkillsList" : [ "Autonomous Driving", "Toolchain & Platform", "DevOps", "Cloud-based platform" ], "coreResponsibilities" : "Lead Autonomous Driving Toolchain & Platform section, Deliver IT solutions on Automated Driving System area, Enable ADAS/AD development and testing, Design cloud-based solutions, Deliver micro-service-oriented solutions, Deliver partner agnostic solutions, Deliver data driven solutions, Observe markets and competitors, Identify development potentials, Ensure system competitiveness, Cooperate with local and global IT, Act as bridge between Germany and local RD, Establish cooperation model with customers, Gear up communication process, Provide analyses to customers, Provide recommendations to customers, Provide presentation to customers, Provide demonstration to customers, Provide advice to customers, Drive team transformation, Build up internal development competence, Ramp up ADAS knowledge, Ramp up interior sensing knowledge, Ramp up vital sensing knowledge, Incubate system development competency, Offer feedback for team members, Provide guidance to team members, Provide coaching to team members, Report team member performance, Report team member progression, Report team member training needs, Report team member disciplinary issues, Follow up on employee surveys, Manage team building topics, Create environment with trust, Create environment with respect, Create environment with belonging, Deliver ADAS dev-test platform maintenance, Support new dev-test platform development, Manage new dev-test platform projects, Enhance local development competence, Bring transparency to team, Breakdown company strategy to employees, Define team mission, Define team initiatives, Define team tasks, Achieve department OKR, Setup team regular communication, Setup team shop floor meeting, Support team member development plans, Guide team members for decision making, Monitor team performance, Ensure quality of team delivery, Facilitate resource planning, Facilitate budget control, Support China local side for global strategy, Realize needed actions in China, Bring RD China consideration back to HQ, Communicate with CoC partners, Bring impact to Germany from China, Introduce central application to local needs, Bridge local business units with HQ, Coordinate with other IT departments, Drive co-creative innovation, Share IT knowledge, Share business process, Lead IT RD owned topics, Continuously update IT knowledge, Continuously update RD business process knowledge, Ensure IT RD security, Ensure IT RD governance, Follow standard company compliance, Support IT security guidelines, Ensure processes are compliance, Provide Audit support", "teamCollaboration" : "Local and global IT; RD stakeholders; Central competence Germany; Local RD business partners; Core customers; MB RD China; Other related IT departments", "projectManagementSkills" : [ "Agile", "SAFe", "Project management" ], "domainKnowledge" : "Autonomous Driving; ADAS; Automated Driving System; Data-driven development; Micro-service-oriented; Partner agnostic; Automotive-grade chips; Data closed-loop system; Data mining; Data labeling; Model training; Model deployment; Machine Learning; Data; Artificial Intelligence; AI/Gen AI model; AD/ADAS security; Data compliance; Software engineering principles; Software development lifecycle; IT RD security; Company compliance", "domainList" : [ "autonomous-driving", "adas", "automated-driving-system", "data-driven-development", "micro-service-oriented", "partner-agnostic", "automotive-grade-chips", "data-closed-loop-system", "data-mining", "data-labeling", "model-training", "model-deployment", "machine-learning", "data", "artificial-intelligence", "ai-gen-ai-model", "ad-adas-security", "data-compliance", "software-engineering-principles", "software-development-lifecycle", "it-rd-security", "company-compliance" ], "domainSpecificKnowledge" : [ "Autonomous Driving", "ADAS", "Automated Driving System", "Data-driven development", "Micro-service-oriented", "Partner agnostic", "Automotive-grade chips", "Data closed-loop system", "Data mining", "Data labeling", "Model training", "Model deployment", "Machine Learning", "Data", "Artificial Intelligence", "AI/Gen AI model", "AD/ADAS security", "Data compliance", "Software engineering principles", "Software development lifecycle", "IT RD security", "Company compliance" ], "toolProficiency" : [ "BEV perception", "DriveGPT", "Orin", "Xavier", "TI TDA4" ], "communicationSkills" : "Analyses; Recommendations; Presentation; Demonstration; Advice; Fluent English; Fluent Chinese", "continuousLearning" : "Keep learning; Continuously updating knowledge", "innovationCreativity" : "Co-creative innovation", "problemSolvingSkills" : "Conflict management", "outcomesObjectives" : "Enable ADAS/AD development and testing; Ensure competitiveness of MB systems; Improve engagement from beginning phase; Ensure team members best delivery; Achieve department OKR; Make sure quality of team delivery; Bring impact to Germany from China; Create value for company", "qualificationsBasic" : "5+ years auto-driving backend platform experience, 5+ years coding experience, Bachelor degree or above", "qualificationsPreferred" : "German is bonus point", "remoteFriendly" : false, "rawDescription" : "Objective of job • Lead “Autonomous Driving Toolchain & Platform” section. Be responsible for IT solutions delivery on Automated Driving System area, enabling ADAS/AD development and testing etc., good understanding of MB company strategies and be able to breakdown the strategy from department level to employees, promote lean-agile mindsets on team level, always keep IT RD security and company compliance in mind. • Delivery: Focus on our business partner’s requirements based on Product Orientation, design and deliver cloud-based, micro-service-oriented, partner agnostic, data driven development and testing solutions together with RD partner. Observe the Chinese and global markets and competitors, identify development potentials and ensure competitiveness of MB systems. • Communication & Cooperation: Good cooperation with local and global IT, RD stakeholders. Acting as a bridge between central of competence from Germany and local RD business partners, bring transparency to both sides and improve engagement from the beginning phase. Establish reliable and aligned cooperation model with core customers and gear up the communication process. Acting as a key window facing client, focusing on providing analyses, recommendations, presentation, demonstration, and advice to customers. • Team Management: Assist supervisor to drive team transformation, build up internal development competence, ramp up ADAS, interior sensing and vital sensing knowledges, incubate in depth system development competency. • People Management: As section lead, offer professional and constructive feedback for team members development, provide guidance and coaching to ensure the team members best delivery, report to supervisor on team member’s performance, progression, training needs and disciplinary issues, assist supervisor on section team employee survey follow-ups and team building topics, create and maintain an environment with trust, respect, and a sense of belonging among team members. Job designation • Autonomous Driving Enablement solutions delivery -Previous ADAS dev-test platform maintenance. -New dev-test platform development support and knowledge ramp up. -New dev-test platform project management and delivery together with MB RD China. -Support, drive and enhance local development competence to delivery best AD services with MB RD China business partner. • Section team management -Bring transparency to the team, and breakdown company strategy and management request to employees, and define team mission, initiatives, and tasks accordingly. -Together with team members achieve department OKR. -Setup and maintain team regular communication and shop floor meeting. -Support team member individual development plan. -Engage and guide team members for decision making. -Monitor team performance and make sure the quality of team delivery. -Facilitate resource planning and budget control. • Be involved in CoC HQ strategy and regular communication from management level. -Support from China local side as global RD and IT strategy required. -Understand and breakdown the strategy from HQ and realize the needed actions in China. -Bring RD China’s consideration back to the HQ for being involved in every beginning phase. -Close communicate with CoC partners for shared RD IT solution for Germany and China. -Based on IT RD strategy bring the impact to Germany from China. -Be aware of central RD methodologies, concepts, and toolchains, introduce central application to meet local needs and bridge local business units with HQ for customization. • Cross business cooperation within MBGC IT departments -Coordinate and cooperate with other related IT departments. -Drive co-creative innovation to create value for our company in IT area. -Share IT knowledge and business process for IT solution integration. -Be responsible for leading IT RD owned topics and cooperate with other departments. -Keep learning and continuously updating knowledge on IT technology, RD business process. • Ensure IT RD security and governance based on China CCSL and company requirements. Follow standard company compliance requirements. -Follow, support and ensure all demands meet the IT security guidelines -Ensuring processes are compliance and provide Audit support. Qualification •Education: -Bachelor degree or above at Computer Science, Intelligent Science, EE, Information Engineering related majors. •Experience: -5+ years auto-driving backend platform experience with focus on data-driven development in the field of AD/ADAS for series passenger car projects. Familiar with the application of large models (such as BEV perception, DriveGPT) in autonomous driving; Experience in transplanting algorithms for automotive-grade chips (Orin/Xavier, TI TDA4); Participated in the construction of an autonomous driving data closed-loop system and is familiar with the entire process of data mining-labeling-training-deployment. -5+ years coding experience on AD/ADAS areas, familiar with C, C++, Java, Java script, Python etc. -Deep understanding about global & local competitor’s AD/ADAS solutions and toolchain, system & function release process and relevant China local & international suppliers. -Familiar with the application of large models (such as BEV perception, DriveGPT) in autonomous driving, experience in transplanting algorithms for automotive-grade chips (Orin/Xavier, TI TDA4), participated in the construction of an autonomous driving data closed-loop system and is familiar with the entire process of data mining-labeling-training-deployment. -Experience on cloud computing, cloud-based platform architectures, CI/CD and DevOps. -Deep understanding and experience on Machine Learning, Data, Artificial Intelligence, AI/Gen AI model. -Familiar with AD/ADAS related security and data compliance. -Solid SW engineering experience, proficient in software engineering principles, software development lifecycle, project management, supplier management. -Good knowledge of Agile, SAFe, ASPICE. -Strong self-motivation, team motivation ability. -Strong ownership, result driven, willing to win. -Big picture thinking and good insight. -Excellent cross-functional communication, coordination, and conflict management skills. -Fluent in English and Chinese, German is bonus point. Mercedes-Benz Group China Ltd.", "summaryDescription" : "Section Lead, Autonomous Driving Toolchain & Platform at Mercedes-Benz Group China Ltd.. Skills: Autonomous Driving, Toolchain & Platform, DevOps, Cloud-based platform. Lead Autonomous Driving Toolchain & Platform section. Deliver IT solutions on Automated Driving System area", "createdAt" : "2026-06-14T08:44:26.677", "lastUpdated" : "2026-06-15T10:00:41.603", "ingestTimestamp" : "2026-06-14T08:44:26.677", "mongoId" : "6a191e7758b93c861e39f860", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data mining", "Algorithm transplanting", "Software engineering", "Leadership", "Mentoring", "Conflict management", "Autonomous Driving", "Toolchain & Platform", "DevOps", "Cloud-based platform", "IT solutions delivery", "Supplier management", "Project management", "Team management", "People management", "Budget control", "Resource planning", "Agile", "SAFe", "ADAS", "Automated Driving System", "Data-driven development", "Micro-service-oriented", "Partner agnostic", "Automotive-grade chips", "Data closed-loop system", "Data labeling", "Model training", "Model deployment", "Machine Learning", "Data", "Artificial Intelligence", "AI/Gen AI model", "AD/ADAS security", "Data compliance", "Software engineering principles", "Software development lifecycle", "IT RD security", "Company compliance", "BEV perception", "DriveGPT", "Orin", "Xavier", "TI TDA4" ], "skillCount" : 44, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "_score" : 805.93024, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a191e7758b93c861e39f727", "title" : "Intern Uncertainty Estimation for End-to-End Autonomous Driving", "company" : "Mercedes-Benz Group AG", "industry" : "Manufacturing", "salary" : { "min" : 15000.0, "max" : 20000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level internship in the automotive industry in Sindelfingen, Germany, adjusted for company size and industry." }, "location" : "Germany-Baden-Württemberg-Sindelfingen", "locations" : [ "Germany-Baden-Württemberg-Sindelfingen", "Kolumbusstr. 19 21, , Sindelfingen" ], "timestamp" : "2026-06-16T02:28:11.613", "fingerprint" : "6517e1bebd1639b7b0e747d0d0b8a4e771559041ab4bcd526b7c68318f9b48b9", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=892666", "externalId" : "892666", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sindelfingen", "state" : "Baden-Württemberg", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.7084162,9.0035455" } ], "locationText" : "Sindelfingen, Baden-Württemberg, Germany", "employmentType" : "INTERNSHIP", "technicalSkills" : "Python, Deep learning, Neural networks, PyTorch, MMDetection, Linux, LLM, VLM, VLAMs", "professionalSkills" : [ "Uncertainty estimation", "Deep learning methodologies" ], "hardSkillsList" : [ "End-to-end autonomous driving", "Deep learning" ], "hardSkills" : [ { "name" : "End-to-end autonomous driving", "level" : "intermediate" }, { "name" : "Deep learning", "level" : "intermediate" } ], "majorSkills" : "Uncertainty estimation, End-to-end autonomous driving, Deep learning", "majorSkillsList" : [ "Uncertainty estimation", "End-to-end autonomous driving", "Deep learning" ], "coreResponsibilities" : "Conduct literature review, Integrate uncertainty estimation methods, Validate uncertainty estimation methods, Analyze uncertainties, Utilize uncertainties, Evaluate impact on planning, Implement training frameworks, Implement evaluation frameworks, Optimize training frameworks, Optimize evaluation frameworks", "teamCollaboration" : "Research team support", "domainKnowledge" : "Autonomous driving; End-to-end driving; Uncertainty estimation; Deep learning", "domainList" : [ "autonomous-driving", "end-to-end-driving", "uncertainty-estimation", "deep-learning" ], "domainSpecificKnowledge" : [ "Autonomous driving", "End-to-end driving", "Uncertainty estimation", "Deep learning" ], "toolProficiency" : [ "PyTorch", "MMDetection", "Linux", "Docker" ], "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Master's degree in computer science, Master's degree in robotics, Master's degree in physics, Master's degree in mathematics, Master's degree in electrical engineering, Programming proficiency in Python, Solid foundation deep learning techniques, In-depth understanding deep learning techniques, Familiarity with common software frameworks, Hands-on experience with Linux, Development within Linux environments, Effective communication skills, Effective collaboration skills, Fluency in spoken English, Fluency in written English", "qualificationsPreferred" : "Knowledge of perception, Knowledge of prediction, Knowledge of planning, Knowledge of uncertainty estimation, Publication at deep learning conference, Publication at robotics conference, Hands-on experience with Docker, Familiarity with LLM, Familiarity with VLM, Familiarity with VLAMs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Mercedes-Benz Group AG is one of the most successful automotive companies in the world. Together with Mercedes-Benz AG, the vehicle manufacturer is one of the largest providers of premium and luxury cars and vans. We are committed to shaping the future of automotive mobility by developing highly automated driving systems for both highway and urban areas. To achieve this, we are seeking highly motivated interns to support our research team on the topic of uncertainty estimation for end-to-end (E2E) autonomous driving within our Perception Team in Sindelfingen. E2E autonomous driving models have emerged as a promising paradigm that directly maps sensor inputs to driving decisions. Compared to modular pipelines that separately process perception, prediction and planning, E2E models jointly optimize all stages within a single framework, resulting in simpler architectures and reduced information loss across modules. While architectural innovations have significantly improved model expressiveness and scalability, these systems are still prone to errors when encountering novel scenarios or unfamiliar appearances. To ensure safe decision-making, it is crucial to employ uncertainty estimation to identify potential errors such that they can be mitigated. However, the modeling and utilization of uncertainty along the E2E functional chain remain relatively underexplored. This research gap poses a critical challenge to the safety of autonomous systems in complex real-world environments. Your role will involve investigating advanced uncertainty estimation methods and analyzing their applicability within the context of E2E AD. Additionally, you will aim to integrate these methods into the E2E AD system and analyze the effects of uncertainty on planning, especially in long-tail and rare scenarios. For this, you are expected to survey the state-of-the-art technologies in this domain and leverage advanced deep learning methodologies. These challenges await you: Conducting a comprehensive literature review on the current state-of-the-art methods in E2E driving and advanced uncertainty estimation techniques Integrating and validating suitable uncertainty estimation methods within the E2E driving pipeline Analyzing and utilizing these uncertainties along the E2E functional chain to evaluate their impact on planning tasks, particularly in novel and rare scenarios Implementing and optimizing corresponding training and evaluation frameworks Currently pursuing a master’s degree in computer science, robotics, physics, mathematics, electrical engineering, or adjacent fields Strong programming proficiency in Python Solid foundation and in-depth understanding of deep learning techniques, especially neural networks, and common software frameworks (e.g., PyTorch, MMDetection family) Hands-on experience with Linux and development within Linux environments Effective communication and collaboration skills Fluency in spoken and written English Preferred Qualifications: Knowledge of perception, prediction, planning and uncertainty estimation Publication at a deep learning or robotics conference (including collaborations) Hands-on experience with containerization technologies (e.g., Docker) Familiarity with LLM / VLM / VLAMs Additional Information: We look forward to receiving your online application, including a resume, cover letter, certificates, current certificate of enrollment stating your semester, proof of mandatory internship if applicable, and proof of the standard period of study. Please remember to mark your documents as \"relevant for this application\" in the online form and observe the maximum file size of 5 MB. You can find further information on the hiring criteria here . Severely disabled applicants and applicants with equivalent status are welcome! The representative for severely disabled employees (sbv-sindelfingen@mercedes-benz.com) will gladly support you in the application process. HR Services will be happy to help you with any questions you may have about the application process. You can reach us by email at myhrservice@mercedes-benz.com or by phone at 0711/17-99000 (Mon-Fri 10am-12pm & 1pm-3pm). Mercedes-Benz AG", "summaryDescription" : "Intern Uncertainty Estimation for End-to-End Autonomous Driving at Mercedes-Benz Group AG. Skills: Uncertainty estimation, End-to-end autonomous driving, Deep learning. Conduct literature review. Integrate uncertainty estimation methods", "createdAt" : "2026-06-14T20:43:34.945", "lastUpdated" : "2026-06-16T02:28:11.613", "ingestTimestamp" : "2026-06-14T20:43:34.945", "mongoId" : "6a191e7758b93c861e39f727", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "End-to-end autonomous driving", "Deep learning", "Uncertainty estimation", "Deep learning methodologies", "Autonomous driving", "End-to-end driving", "PyTorch", "MMDetection", "Linux", "Docker" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 765.9753, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca33b74d8ee00a09aaac4", "title" : "Autonomous Vehicle Test Driver", "industry" : "AV Testing", "salary" : { "min" : 12.0, "max" : 13.0, "currency" : "EUR", "frequency" : "per-hour-wage" }, "location" : "Madrid", "locations" : [ "Madrid" ], "timestamp" : "2026-06-16T02:09:51.685", "fingerprint" : "cb91f65a5d3a77991263bc4b00f52d709f085d5578d03d81363894cb843a43a4", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/tsmg/6a10ce4d-85ce-4775-a312-355f1c6046e4/apply", "externalId" : "6a10ce4d-85ce-4775-a312-355f1c6046e4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Madrid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "40.4167820,-3.7035070" } ], "locationText" : "Madrid, Spain", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Safely operate vehicles, Monitor autonomous vehicles, Take control of vehicle, Follow routes, Follow test plans, Follow shift schedules, Observe road conditions, Observe vehicle behavior, Record incidents, Provide clear reports", "domainKnowledge" : "Autonomous Vehicle; Advanced automotive systems", "domainList" : [ "autonomous-vehicle", "advanced-automotive-systems" ], "domainSpecificKnowledge" : [ "Autonomous Vehicle", "Advanced automotive systems" ], "toolProficiency" : [ "Smartphones", "In-vehicle systems", "Digital tools", "Google Workspace" ], "documentationSkills" : "Documenting observations", "continuousLearning" : "Ongoing support and training", "specialRequirements" : "Willingness to travel to United States for training, Willing to work rotating shifts, Comfortable with long periods of driving, Comfortable with long periods of focus", "qualificationsBasic" : "EU citizenship, Valid driver’s license, Clean driving record, Good command of English, Basic digital skills", "qualificationsPreferred" : "Experience in autonomous vehicle testing, Experience in advanced driver-assistance system testing, Technical understanding of vehicle systems, Experience in structured environments, Experience in process-driven environments", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description Role Overview We are looking for experienced drivers with a background in automotive or Autonomous Vehicle (AV) projects to support vehicle testing operations in Spain. This role involves monitoring vehicle performance, following assigned routes, and documenting observations accurately. It requires precise execution of test procedures, adherence to strict safety standards, and active participation in data collection processes for advanced automotive systems. ## Key Responsibilities Safely operate and monitor autonomous vehicles Take control of the vehicle when required Follow routes, test plans, and shift schedules Observe road conditions and vehicle behavior Record incidents and provide clear reports Use smartphones, in-vehicle systems, and digital tools Maintain a safety-first and professional approach ## Requirements EU citizenship Valid driver’s license with a clean driving record Willingness and ability to travel to the United States for training (visa provided) Good command of English Willing to work rotating shifts (including evenings/weekends) Comfortable with long periods of driving and focus Basic digital skills (smartphones, Google Workspace, etc.) Strong attention to detail and safe driving habits ## Preferred Qualifications Experience in autonomous vehicle or advanced driver-assistance system testing Technical understanding of vehicle systems Experience working in structured, process-driven environments ## What We Offer Opportunity to contribute to advanced automotive projects Professional and structured working environment Paid 4-week training (travel & accommodation covered if in the U.S.) Stable, long-term opportunity Ongoing support and training", "summaryDescription" : "Autonomous Vehicle Test Driver. Safely operate vehicles. Monitor autonomous vehicles", "postedDate" : "2026-06-12T12:06:17.517", "createdAt" : "2026-06-12T12:06:17.517", "lastUpdated" : "2026-06-16T02:09:51.685", "ingestTimestamp" : "2026-06-14T21:01:45.948", "mongoId" : "6a2ca33b74d8ee00a09aaac4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Autonomous Vehicle", "Advanced automotive systems", "Smartphones", "In-vehicle systems", "Digital tools", "Google Workspace" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 740.1495, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "id" : "693c2b8970f0b99d5843fc1e", "title" : "Applied Scientist II, Sponsored Products Autonomous Campaigns", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Advertising", "salary" : { "min" : 136000.0, "max" : 223400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T02:18:40.777", "fingerprint" : "d3273a378e1d18904c73649d6a4e1ddc3a638c1d2346b498b85a05516ec73e2d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3139270/apply", "externalId" : "05cccbc4-9da9-4552-8915-fb95301b0e42", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, Java, C++, AI, ML, LLMs, RL", "professionalSkills" : [ "Agentic architectures", "Autonomous campaigns", "Advertiser workflows", "Model optimization", "Preference optimization", "Evaluation frameworks", "Agent ecosystem", "Tool orchestration", "Multi-step reasoning", "Adaptive behavior" ], "hardSkillsList" : [ "Statistical analysis", "Reinforcement learning", "Preference optimization", "Instruction tuning", "Fine-tuning" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Reinforcement learning", "level" : "intermediate" }, { "name" : "Preference optimization", "level" : "intermediate" }, { "name" : "Instruction tuning", "level" : "intermediate" }, { "name" : "Fine-tuning", "level" : "intermediate" } ], "majorSkills" : "Applied AI, Agent-based AI, Autonomous systems", "majorSkillsList" : [ "Applied AI", "Agent-based AI", "Autonomous systems" ], "coreResponsibilities" : "Design agents for autonomous campaigns, Implement model and agent optimization techniques, Curate datasets and tools, Build evaluation pipelines for agent workflows, Develop agentic architectures, Prototype multi-agent orchestration frameworks, Collaborate with peers, Translate research findings into applications", "teamCollaboration" : "Collaborating with scientists; Collaborating with engineers; Collaborating with product managers; Collaborate with peers across engineering; Collaborate with peers across product", "domainKnowledge" : "Advertiser workflows; Agent architectures; Tool integration; Reasoning frameworks; Model customization", "domainList" : [ "advertiser-workflows", "agent-architectures", "tool-integration", "reasoning-frameworks", "model-customization" ], "domainSpecificKnowledge" : [ "Advertiser workflows", "Agent architectures", "Tool integration", "Reasoning frameworks", "Model customization" ], "continuousLearning" : "Stay current with research", "innovationCreativity" : "Pioneer next generation; Innovative solutions", "problemSolvingSkills" : "Ambiguous technical problems", "outcomesObjectives" : "Deliver customer-facing products; Help advertisers create campaigns; Help advertisers optimize campaigns; Help advertisers grow campaigns", "qualificationsBasic" : "Master's degree and 4+ years of CS, CE, ML or related field experience, 3+ years of building models for business application experience, Experience programming in Java, C++, Python or related language, Experience in designing experiments and statistical analysis of results, Experience with AI/ML technologies", "qualificationsPreferred" : "PhD preferred, Experience in state-of-the-art deep learning models architecture design, Deep learning training and optimization experience, Model pruning experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are looking for a passionate Applied Scientist to help pioneer the next generation of agentic AI applications for Amazon advertisers. In this role, you will design agentic architectures, develop tools and datasets, and contribute to building systems that can reason, plan, and act autonomously across complex advertiser workflows. You will work at the forefront of applied AI, developing methods for fine-tuning, reinforcement learning, and preference optimization, while helping create evaluation frameworks that ensure safety, reliability, and trust at scale. You will work backwards from the needs of advertisers—delivering customer-facing products that directly help them create, optimize, and grow their campaigns. Beyond building models, you will advance the agent ecosystem by experimenting with and applying core primitives such as tool orchestration, multi-step reasoning, and adaptive preference-driven behavior. This role requires working independently on ambiguous technical problems, collaborating closely with scientists, engineers, and product managers to bring innovative solutions into production. Key job responsibilities - Design and build agents for our autonomous campaigns experience. - Design and implement advanced model and agent optimization techniques, including supervised fine-tuning, instruction tuning and preference optimization (e.g., DPO/IPO). - Curate datasets and tools for MCP. - Build evaluation pipelines for agent workflows, including automated benchmarks, multi-step reasoning tests, and safety guardrails. - Develop agentic architectures (e.g., CoT, ToT, ReAct) that integrate planning, tool use, and long-horizon reasoning. - Prototype and iterate on multi-agent orchestration frameworks and workflows. - Collaborate with peers across engineering and product to bring scientific innovations into production. - Stay current with the latest research in LLMs, RL, and agent-based AI, and translate findings into practical applications. About the team The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through the latest generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. The Autonomous Campaigns team within Sponsored Products and Brands is focused on guiding and supporting 1.6MM advertisers to meet their advertising needs of creating and managing ad campaigns. At this scale, the complexity of diverse advertiser goals, campaign types, and market dynamics creates both a massive technical challenge and a transformative opportunity: even small improvements in guidance systems can have outsized impact on advertiser success and Amazon’s retail ecosystem. Our vision is to build a highly personalized, context-aware campaign creation and management system that leverages LLMs together with tools such as auction simulations, ML models, and optimization algorithms. This agentic framework, will operate across both chat and non-chat experiences in the ad console, scaling to natural language queries as well as proactively delivering guidance based on deep understanding of the advertiser. To execute this vision, we collaborate closely with stakeholders across Ad Console, Sales, and Marketing to identify opportunities—from high-level product guidance down to granular keyword recommendations—and deliver them through a tailored, personalized experience. Our work is grounded in state-of-the-art agent architectures, tool integration, reasoning frameworks, and model customization approaches (including tuning, MCP, and preference optimization), ensuring our systems are both scalable and adaptive. Basic Qualifications: - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - 3+ years of building models for business application experience - Experience programming in Java, C++, Python or related language - Experience in designing experiments and statistical analysis of results - Experience with AI/ML technologies Preferred Qualifications: - Experience in professional software development - Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist II, Sponsored Products Autonomous Campaigns at Amazon.com Services LLC. Skills: Applied AI, Agent-based AI, Autonomous systems. Design agents for autonomous campaigns. Implement model and agent optimization techniques", "postedDate" : "2026-06-13T08:09:22.289", "createdAt" : "2026-06-13T08:09:22.289", "lastUpdated" : "2026-06-15T02:18:40.777", "ingestTimestamp" : "2026-06-13T08:09:22.289", "mongoId" : "693c2b8970f0b99d5843fc1e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3139270/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 223400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Reinforcement learning", "Preference optimization", "Instruction tuning", "Fine-tuning", "Applied AI", "Agent-based AI", "Autonomous systems", "Agentic architectures", "Autonomous campaigns", "Advertiser workflows", "Model optimization", "Evaluation frameworks", "Agent ecosystem", "Tool orchestration", "Multi-step reasoning", "Adaptive behavior", "Agent architectures", "Tool integration", "Reasoning frameworks", "Model customization" ], "skillCount" : 21, "jobCategory" : "data", "dataQualityScore" : 1.0, "_score" : 722.4155, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2ca44674d8ee00a09b1154", "title" : "Autonomous Vehicle Test Operator (CDL-A) 1st Shift (6-Month Temporary)", "company" : "Outrider", "industry" : "Logistics", "salary" : { "min" : 25.0, "max" : 30.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Antonio, Texas, United States", "locations" : [ "San Antonio", "Texas", "United States" ], "certifications" : [ "CDL-A license" ], "timestamp" : "2026-06-15T03:23:03.505", "fingerprint" : "dd8eb088b7d26bc45423a1601f670b0ec5becbbd2f4f6a3ffec6cdb0aaa44d2e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/outrider/jobs/5255728008", "externalId" : "5255728008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Antonio", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.4246002,-98.4951405" } ], "locationText" : "San Antonio, Texas, United States", "employmentType" : "TEMPORARY", "technicalSkills" : "Software, Web applications, Hardware", "professionalSkills" : [ "Safety inspections", "Root-cause analysis", "Preventative maintenance" ], "hardSkillsList" : [ "Vehicle operation", "Manual repairs" ], "hardSkills" : [ { "name" : "Vehicle operation", "level" : "intermediate" }, { "name" : "Manual repairs", "level" : "intermediate" } ], "majorSkills" : "Autonomous vehicle operation, Safety critical systems", "majorSkillsList" : [ "Autonomous vehicle operation", "Safety critical systems" ], "coreResponsibilities" : "Safely operate vehicles, Conduct daily inspections, Propose safety improvements, Determine on-spot responses, Provide test reports, Perform preventative maintenance, Assist in root-cause analysis, Perform minor repairs, Communicate issues, Comply with safety rules, Support positive work environment, Perform other tasks", "teamCollaboration" : "Engineering teams; Customer Operations; Technical Operations; Executive team members; Commercial teams; Operations teams; AV Dispatchers; Test Operations Lead", "domainKnowledge" : "Autonomous vehicle system; Automated driving system", "domainList" : [ "autonomous-vehicle-system", "automated-driving-system" ], "domainSpecificKnowledge" : [ "Autonomous vehicle system", "Automated driving system" ], "toolProficiency" : [ "MS Office", "Google Suite" ], "communicationSkills" : "Verbal test reports; Written test reports", "documentationSkills" : "Test reports", "problemSolvingSkills" : "Root-cause analysis", "specialRequirements" : "Up to 20% travel, Ascending and descending trucks, Lifting and transporting supplies, Using hand tools, Cleaning work areas, Standing for extended periods, Walking for extended periods, Bending for extended periods, Twisting for extended periods, Reaching for extended periods", "qualificationsBasic" : "Ability to back trailer, Clean driving record, Flexibility for work shifts, Unwavering focus on safety, Facility with desktop software, Excellent written communication, Excellent verbal communication", "qualificationsPreferred" : "Experience testing reliability, Experience testing durability, Understanding software development lifecycle, Familiarity with IT software, Comfort with Linux, Comfort with command-line interface", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Company Outrider is a software company that is automating distribution yards with electric, self-driving trucks. Our system eliminates manual tasks that are hazardous and repetitive while it improves safety and efficiency. Outrider’s mission is to drive the rapid adoption of sustainable freight transportation. We are a private company founded in 2018 and backed by NEA, 8VC, Koch Disruptive Technologies, NVIDIA, and other top-tier investors. Our customers are Fortune 200 companies and our autonomous trucks are already running in distribution yards. For more information, visit www.outrider.ai The Role THIS IS A TEMPORARY 6-MONTH POSITION TO START, WITH THE POSSIBILITY OF EXTENSION The Autonomous Vehicle Test Operator reports to the Shift Manager and is responsible for safely testing, operating, and monitoring Outrider’s autonomous vehicle system. This role ensures AVs in manual, partial, or full automation are operated safely by identifying risks, intervening when needed, and returning vehicles to a minimum-risk state. Operators closely observe vehicle performance both in-cab and through a software-based monitoring tool. The role requires sharp focus, quick decision-making, and a safety-first mindset. It is essential to advancing Outrider’s automation technology and delivering a safety-critical system for large-scale distribution yards. Available Shifts: Second Shift: Monday - Friday, 4:15PM - 12:45AM Duties and Responsibilities Safely operate vehicles, either in the cab or remotely via a web-based dispatching/monitoring user interface. Be a steward of the safety mindset: conduct daily on-site safety inspections of the trucks, equipment, and area, and proactively propose safety improvements Use keen judgement to determine appropriate on-the-spot responses to vehicle performance and safety issues Provide insightful and thorough verbal and/or written test reports on system performance - including vehicle and system data and/or observations related to automated driving system development - for Engineering, Customer Operations, Technical Operations and Executive team members Perform preventative maintenance checks, and services on autonomous vehicles, including but not limited to, preparation, installation, and maintenance of vehicle hardware Assist commercial, operations, and engineering teams in root-cause analysis of issues found during operation Perform minor repairs under the direction of the engineering staff and/or in accordance with OEM repair instructions Communicate issues and subjective performance to the AV Dispatchers, Test Operations Lead and peers on the Engineering Teams Comply with established safety rules, policies, and procedures, including wearing required safety equipment Demonstrate Outrider's values by supporting a positive and engaging work environment. Perform other tasks as assigned Be flexible around occasional travel to perform fieldwork, depending on customer locations and needs (up to 20%) Required Qualifications Desire and ability to understand Outrider’s autonomous vehicle system and technology through the constant reading of documentation and Q&A with colleagues Ability to back a trailer into a dock spot or parking spot. Clean driving record for the past 5 years Flexibility for day, night, and/or weekend work, as needed (and sometimes on short notice) Unwavering focus on safety and helping to explore and implement system improvements Facility with desktop software and web applications Excellent written and verbal communication skills Contagious energy and positivity in relationships and interactions Ideal Qualifications Experience testing reliability or durability of robotic systems, autonomous vehicles, or other automated distribution yard products Understanding of the software development life cycle, modern software/hardware/system testing methods, and continuous integration Experience working in a highly talented R&D or engineering environment Familiarity and comfort with IT software packages such as MS Office, Google Suite, Linux and command-line interface/CLI CDL-A license Work Environment and Physical Demands This role is primarily based in a warehouse setting with regular exposure to varying environmental conditions such as heat, cold, rain, and snow. This position involves regular exposure to moderate noise levels typical of a warehouse environment, including machinery and vehicle operations. Employees will be working around autonomous trucks and must be comfortable operating in an industrial environment. Physical requirements include: Ascending and descending in and out of trucks Lifting and transporting supplies as needed Using hand tools such as screwdrivers and wrenches Cleaning and maintaining work areas with supplies such as brooms Performing tasks that may require standing, walking, bending, twisting, or reaching for extended periods Compensation & Benefits Hourly Wage: $25.00 - $30 Actual compensation is based on several factors, including but not limited to job-related skills, qualifications, experience, and specific work location due to differences in the cost of labor Health Insurance Dental insurance Vision Insurance Parental Leave 401(K) Retirement Flexible Spending Account (FSA) Health Savings Account (HSA) Short-Term Disability Long–Term Disability Life insurance Pet insurance", "summaryDescription" : "Autonomous Vehicle Test Operator (CDL-A) 1st Shift (6-Month Temporary) at Outrider. Skills: Autonomous vehicle operation, Safety critical systems. Safely operate vehicles. Conduct daily inspections", "postedDate" : "2026-06-13T21:37:48.970", "createdAt" : "2026-06-13T21:37:48.970", "lastUpdated" : "2026-06-15T03:23:03.505", "ingestTimestamp" : "2026-06-13T21:37:48.970", "mongoId" : "6a2ca44674d8ee00a09b1154", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 52000, "salaryAnnualMax" : 62400, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Vehicle operation", "Manual repairs", "Autonomous vehicle operation", "Safety critical systems", "Safety inspections", "Root-cause analysis", "Preventative maintenance", "Autonomous vehicle system", "Automated driving system", "CDL-A license", "MS Office", "Google Suite" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 704.81995, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c93fa74d8ee00a0989653", "title" : "Field Operations Manager - Saudi Arabia", "company" : "Pronto", "industry" : "Technology", "salary" : { "min" : 275000.0, "max" : 450000.0, "currency" : "SAR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in the Mining industry in Saudi Arabia, adjusted for seniority and location." }, "location" : "Saudi Arabia", "locations" : [ "Saudi Arabia" ], "timestamp" : "2026-06-15T04:49:16.022", "fingerprint" : "f86190490fd5a966d79af56e3665ac0526ba12075a1e38ce98b619c65d42a2b2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/pronto/jobs/8520674002", "externalId" : "8520674002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Saudi Arabia", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Saudi Arabia", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Manager", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning" ], "hardSkillsList" : [ "Operational metrics" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Operational metrics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Autonomous vehicle technology, Mine operations, Field operations", "majorSkillsList" : [ "Autonomous vehicle technology", "Mine operations", "Field operations" ], "coreResponsibilities" : "Lead on-site deployment, Ensure system integration, Monitor project progress, Escalate technical risks, Escalate operational risks, Manage field engineers, Manage technicians, Oversee scheduling, Oversee safety compliance, Oversee team performance, Coordinate site logistics, Coordinate operational readiness, Act as communication hub, Provide progress reports, Ensure customer commitments met, Set up operational processes, Modify operational processes, Lead customer training, Manage system handover", "teamCollaboration" : "Customer site and Pronto HQ; Mine operations team", "projectManagementSkills" : [ "Deployment activities" ], "domainKnowledge" : "Autonomous haulage systems; Mine site operations; Production cycles; Remote operations; Telematics; Machine control systems", "domainList" : [ "autonomous-haulage-systems", "mine-site-operations", "production-cycles", "remote-operations", "telematics", "machine-control-systems" ], "domainSpecificKnowledge" : [ "Autonomous haulage systems", "Mine site operations", "Production cycles", "Remote operations", "Telematics", "Machine control systems" ], "communicationSkills" : "Executive presentations; Progress reports", "innovationCreativity" : "Cutting-edge technology", "specialRequirements" : "Full-time on-site, Mining environments, Accommodation provided, Mining rotation schedule, Field-based role, Rugged mine environments, Site-specific safety", "outcomesObjectives" : "Deliver deployment activities; Agreed performance metrics", "qualificationsBasic" : "15+ years mining experience, 5-10 years leadership roles, Participating in technology rollouts, Transition mine to autonomous operations", "qualificationsPreferred" : "Degree in Mining Engineering", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Who we are Pronto AI is a global leader in commercializing autonomous vehicle (AV) technology, deploying Autonomous Haulage Systems (AHS) that automate operations in mines, quarries, and construction sites worldwide. While much of the industry remains in R&D, we deliver real, production-ready autonomy that is already operating in the field. We are on a mission to make mining operations safer, smarter, and more efficient through cutting-edge technology, and we are building toward becoming the world’s first profitable AV technology company. What you’ll do The Field Operations Manager is responsible for leading the on-site deployment of Pronto’s autonomous haulage system at a mining operation in Saudi Arabia. This role serves as the bridge between Pronto’s technology teams and the customer’s mine operations, ensuring successful implementation and integration into daily production activities. Project Delivery & Leadership Deliver deployment activities according to agreed performance metrics Ensure successful integration of autonomous systems into production workflows Monitor project progress and escalate technical or operational risks Manage on-site field engineers and technicians Oversee scheduling, safety compliance, and overall team performance Coordinate site logistics and operational readiness Strategic Liaison Act as the central communication hub between the customer site and Pronto HQ, providing regular progress reports and escalating technical or operational blockers. Ensure customer commitments for infrastructure, equipment, and resources are met Operational Integration Work with customers to set up or modify existing operational processes to accommodate autonomous haulage. Lead the customer training programs on Pronto technology and manage the formal handover of the system to the mine’s operations team. What we’re looking for 15+ years of direct mining experience with deep understanding of mine site operations and production cycles. 5–10 years in leadership roles (e.g., Site Superintendent, Fleet Manager, Maintenance Manager). Proven track record of actively participating in technology rollouts, such as autonomy, remote operations, telematics, or machine control systems. Deep understanding of how to transition a mine from manual to technology-assisted or autonomous operations. A degree in Mining Engineering is highly preferred. Comfortable working full-time on-site in mining environments. Exceptional verbal and written communication skills for reporting to executive-level stakeholders at both the customer and Pronto. Why join us Work on real, production-deployed autonomy. Build technology that directly improves safety, efficiency, and productivity. Tackle complex challenges in demanding, real-world environments. Be part of a fast-moving team with high ownership and impact. See your work deployed and making a difference in the field. Collaborate closely with experienced engineers and industry operators. What else you need to know On-site role at a mining operation in Saudi Arabia. Accommodation provided during deployments. Mining rotation schedule (e.g., 2 weeks on-site followed by 1 week time off). Field-based role in rugged mine environments. Compliance with site-specific safety and health requirements.", "summaryDescription" : "Field Operations Manager - Saudi Arabia at Pronto. Skills: Autonomous vehicle technology, Mine operations, Field operations. Lead on-site deployment. Ensure system integration", "postedDate" : "2026-06-14T03:22:50.499", "createdAt" : "2026-06-14T03:22:50.499", "lastUpdated" : "2026-06-15T04:49:16.022", "ingestTimestamp" : "2026-06-14T03:22:50.499", "mongoId" : "6a2c93fa74d8ee00a0989653", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Operational metrics", "Leadership", "Autonomous vehicle technology", "Mine operations", "Field operations", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Deployment activities", "Autonomous haulage systems", "Mine site operations", "Production cycles", "Remote operations", "Telematics", "Machine control systems" ], "skillCount" : 17, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 658.5347, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Mining", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a715c74d8ee00a06491be", "title" : "Autonomous Vehicle Engineer (Mechanical)", "company" : "Venti Technologies", "industry" : "Engineering", "salary" : { "min" : 72500.0, "max" : 97500.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Autonomous Vehicle Engineer in Singapore, adjusted for the technology industry and company size." }, "location" : "Singapore", "locations" : [ "Singapore" ], "timestamp" : "2026-06-13T20:01:36.975", "fingerprint" : "d2e2c92bbbff386f6df67d49ef89b89ca6a4cc44adcf966e668a0dc75653832e", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/GoVenti/96d43f31-445a-474c-913d-e1080586adc6/application", "externalId" : "96d43f31-445a-474c-913d-e1080586adc6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "technicalSkills" : "SolidWorks", "professionalSkills" : [ "Manufacturing costs", "Cost control", "BOM management" ], "hardSkillsList" : [ "Sheet metal bending", "CNC milling", "3D printing", "Surface modelling", "Electrical integration", "Pneumatic systems" ], "hardSkills" : [ { "name" : "Sheet metal bending", "level" : "intermediate" }, { "name" : "CNC milling", "level" : "intermediate" }, { "name" : "3D printing", "level" : "intermediate" }, { "name" : "Surface modelling", "level" : "intermediate" }, { "name" : "Electrical integration", "level" : "intermediate" }, { "name" : "Pneumatic systems", "level" : "intermediate" } ], "coreResponsibilities" : "Design custom brackets, Design mounts, Design modular sub-assemblies, Integrate mechanical parts, Integrate sensors, Integrate computers, Route wiring, Design data acquisition mechanisms, Validate data mechanisms, Measure physical trucks, Measure machinery, Create CAD models, Create manufacturing drawings, Manage fabrication process, Build prototypes, Test designs, Validate designs, Write assembly instructions, Write maintenance plans, Create Bills of Materials, Track component suppliers", "domainKnowledge" : "Autonomous logistics systems; Deep learning; Autonomy technologies; Logistics algorithms", "domainList" : [ "autonomous-logistics-systems", "deep-learning", "autonomy-technologies", "logistics-algorithms" ], "domainSpecificKnowledge" : [ "Autonomous logistics systems", "Deep learning", "Autonomy technologies", "Logistics algorithms" ], "documentationSkills" : "Manufacturing drawings; Assembly instructions; Maintenance plans", "innovationCreativity" : "Innovators; Tinkerers; Problem-solvers", "problemSolvingSkills" : "Problem-solvers", "qualificationsBasic" : "2 or more years mechanical design engineer, Daily SolidWorks modelling, Sheet metal operations, Surface modelling, Design for CNC machining, Design for sheet metal fabrication, Design for additive manufacturing, Design choices keep production cheap, Build prototypes, Physically validate designs, Create clear technical drawings, Create detailed assembly instructions, Integrate wiring, Integrate sensors, Integrate connectors, Understand pneumatic systems, Manage time, Work on multiple projects", "workSiteFlexibility" : "Onsite", "rawDescription" : "A WORLD EMPOWERED BY AUTONOMY. WE BUILD ROBOTIC VEHICLES TO IMPROVE LOGISTICS SAFETY, FORGE A GREENER EARTH, AND ENHANCE HUMAN LIVES. We are a closely-knit team aspiring to change the world through disruptive technology. We are innovators. We are tinkerers. We are problem-solvers. And we have a fair amount of magic dust up our sleeves. We have a plan for fleet-level deployment of autonomous vehicles, and we are looking for the best-of-the-best to join us in making this a reality. ABOUT VENTI TECHNOLOGIES Based in the U.S. and Asia, Venti Technologies is the leader in safe-speed autonomous logistics systems, developing the future of goods transportation. Using rigorous mathematics, deep learning, and theoretically-grounded algorithms, Venti has a proprietary collection of autonomy technologies including a suite of powerful logistics algorithms. Venti’s proven value proposition of saving costs, increasing vehicle utilization, and improving safety is recognized by customers and driving growth. Launched in 2018, Venti brings together an unsurpassed team internationally. The company has autonomous systems deployed in Asia for industrial and logistics sites and a growing pipeline. Venti has offices in Cambridge (Massachusetts, USA), Suzhou (China), and Singapore – our Asian headquarters. Position overview We are looking for a Mechanical Engineer with at least 2 years of experience to join our team. Your main focus will be designing parts that are ready to be used in heavy-duty autonomous trucks, not just on a screen. You need to be fast and accurate in SolidWorks and genuinely understand how parts get made. We need someone who knows the limits of sheet metal bending, CNC milling, and 3D printing, and uses that knowledge to design parts that keep our manufacturing costs low. You should also have a basic understanding on electrical and pneumatic systems to help integrate our mechanical designs with the rest of the AV system. Key Responsibilities: - Design Sub-Assemblies: Design and develop custom brackets, mounts, and modular sub-assemblies that neatly integrate mechanical parts, measuring mechanisms, sensors, computers, and routing. - Develop Data Mechanisms: Design and validate mechanisms for acquiring real-time data, including wheel encoders, joint positions, and articulated body angles. - Vehicle & Machine Mapping: Measure physical trucks and machinery in person to create accurate CAD models for installing the Venti AV kit. - Sourcing & Vendor Management: Create clear manufacturing drawings, send them out to suppliers for quotes, and manage the fabrication process. - Prototyping & Testing: Build, test, and physically validate your designs to catch and fix issues before they go into full production. - Production Hand-off: Write detailed, step-by-step assembly instructions so the fabrication and integration teams can build your designs without confusion. - Maintenance Planning: Write up clear maintenance plans for your designs to ensure the hardware is easy to service down the road. - BOM Management: Create and manage cross-project Bills of Materials (BOMs) and keep track of component suppliers. Requirements: - Experience: 2 or more years working as a mechanical design engineer or similar - CAD: Strong, daily experience modelling parts in SolidWorks, including specific familiarity with sheet metal operations and surface modelling. - Manufacturing Knowledge: You must know how to design specifically for CNC machining, sheet metal fabrication, and additive manufacturing. - Cost Control: A track record of making smart design choices that keep production simple and cheap. - Hands-on Work: Comfortable getting your hands dirty building prototypes and physically validating your designs. - Technical Drawings: Experienced in creating clear technical drawings for manufacturing and detailed assembly instructions for the production team. - Electrical: A basic understanding of how to integrate wiring, sensors, and connectors into your mechanical designs. - Pneumatics: Knowing your way around valves, cylinders, and air routing. - Comfortable managing your time and working on multiple projects simultaneously. SALARY IS COMMENSURATE WITH EXPERIENCE. WE ALSO OFFER WORLD-CLASS BENEFITS, FANTASTIC CULTURE, FLEXIBLE WORKING ARRANGEMENTS, AND A GREAT INTERNATIONAL WORKING ENVIRONMENT. COME AND JOIN US!", "summaryDescription" : "Autonomous Vehicle Engineer (Mechanical) at Venti Technologies. Design custom brackets. Design mounts", "postedDate" : "2026-06-11T19:23:46.968", "createdAt" : "2026-06-11T19:23:46.968", "lastUpdated" : "2026-06-13T20:01:36.975", "ingestTimestamp" : "2026-06-11T19:23:46.968", "mongoId" : "6a2a715c74d8ee00a06491be", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Sheet metal bending", "CNC milling", "3D printing", "Surface modelling", "Electrical integration", "Pneumatic systems", "Manufacturing costs", "Cost control", "BOM management", "Autonomous logistics systems", "Deep learning", "Autonomy technologies", "Logistics algorithms" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "vehicle", "dataQualityScore" : 0.8888889, "_score" : 646.4176, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Autonomous Vehicle Logistics" }, { "id" : "69e1e3852beec4dd3d1d0ee7", "title" : "Semi-Skilled Construction Operative", "company" : "Home Group", "industry" : "Real Estate", "salary" : { "min" : 29830.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : false }, "location" : "County Durham-Durham-Durham (Mercury House)", "locations" : [ "County Durham-Durham-Durham (Mercury House)", "04.May.26, 11:59:00 PM", "251591, 251591, true" ], "timestamp" : "2026-06-16T01:14:31.717", "fingerprint" : "c5d5505834751102b316a17011877c5d4693d20fc47f258b26c36c1a8b16df5b", "source" : "taleo", "language" : "en", "applyUrl" : "https://homegroup.taleo.net/careersection/ex/jobdetail.ftl?job=251591", "externalId" : "251591", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Durham", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "54.6666670,-1.7500000" } ], "locationText" : "Durham, United Kingdom", "employmentType" : "FULL_TIME", "hardSkillsList" : [ "Building trades", "Housing repairs", "Construction site operations" ], "hardSkills" : [ { "name" : "Building trades", "level" : "intermediate" }, { "name" : "Housing repairs", "level" : "intermediate" }, { "name" : "Construction site operations", "level" : "intermediate" } ], "majorSkills" : "Maintenance, Property refurbishment", "majorSkillsList" : [ "Maintenance", "Property refurbishment" ], "coreResponsibilities" : "Complete allocated jobs right first time, Provide whole job repair approach, Support trades team, Complete repairs, Complete maintenance, Complete property refurbishment tasks, Clear sites, Dispose of waste, Drive materials, Store materials, Improve first time fixes, Prevent multiple visits, Deliver high-quality work, Deliver compliant work, Log jobs using technology, Complete online learning", "teamCollaboration" : "Collaborating with other colleagues", "domainKnowledge" : "Building construction; Building trade activities", "domainList" : [ "building-construction", "building-trade-activities" ], "domainSpecificKnowledge" : [ "Building construction", "Building trade activities" ], "continuousLearning" : "Complete online learning", "problemSolvingSkills" : "Use own initiative and judgement", "specialRequirements" : "On call on rota basis, Basic DBS, Health check", "outcomesObjectives" : "Improve first time fixes; Prevent multiple visits", "qualificationsBasic" : "Experience in maintenance environment, Knowledge of building construction, Knowledge of building trade activities, Full current driving licence", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Semi-skilled Construction Operative Working in our properties across the North East Permanent, full time 37.5 hpw Monday to Friday, with on call on a rota basis £29,830 per annum plus van great benefits including matching pension contributions We can’t offer a CoS for this role Home, a place where you belong Do you have a good knowledge of building trades, housing repairs or construction site operations and looking for a new role with a great employer? Come join us at Home Group and be part of our fantastic repairs and maintenance team. You’ll carry out high-quality, right first-time maintenance across our responsive and void properties. If you fancy working alongside a brilliant team, then read on… What you’ll do As Semi-skilled Construction Operative, all allocated jobs are completed right first time, with a whole job repair approach, providing a brilliant service for our customers. Supporting our trades team across a range of repairs, maintenance and property refurbishment tasks including Joiners, Roofers, Decorators, Bricklayers, Plumbers etc. Site activities including clearing, disposals, driving and storage of materials. You’ll support us to improve first time fixes and prevent multiple visits to customers’ homes. Delivering high-quality and compliant work. Why join us? This is more than a job, it’s a place where you feel valued. You get great training, support from friendly colleagues and a chance to make a real difference every day. Be part of one of the UK’s Great Places to Work! You have Experience in a range of semi-skilled work in a maintenance environment. Knowledge of building construction and building trade activities. A flexible approach, able to use your own initiative and judgement. A full current driving licence, as you will be provided with a company van for business use and commuting. Stronger together We do our best work when we’re ourselves. That’s why inclusion, wellbeing, and our diversity networks help make Home Group a great place to work ! The practical bits Working Monday to Friday You must be able to use technology for logging jobs, complete online learning and collaborating with other colleagues. You’ll need a Basic DBS and health check done, we pay for that. What’s in it for you? · 34 days leave, rising to 39 (this includes bank holidays and a “me day”). The option to buy 5 more each year · 2 paid volunteering days each year · Health cash plan saving you (and your children) £1140+ each year covering dental, opticians, prescriptions and more · Matching pension contribution (up to 7% and life insurance of 3x basic salary) · Family friendly policies including maternity, paternity, adoption, neonatal, fertility and menopause support Find out more Click APPLY NOW to see our Semi-skilled Construction Operative Job Description , find out about us and for help to apply . Sometimes we close a job early, so don’t delay.  For adjustments email recruitment@homegroup.org.uk Durham (Mercury House) Belmont Business Park", "summaryDescription" : "Semi-Skilled Construction Operative at Home Group. Skills: Maintenance, Property refurbishment. Complete allocated jobs right first time. Provide whole job repair approach", "createdAt" : "2026-06-14T20:43:24.011", "lastUpdated" : "2026-06-16T01:14:31.717", "ingestTimestamp" : "2026-06-14T20:43:24.011", "mongoId" : "69e1e3852beec4dd3d1d0ee7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Building trades", "Housing repairs", "Construction site operations", "Maintenance", "Property refurbishment", "Building construction", "Building trade activities" ], "skillCount" : 7, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 644.1035, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Real Estate", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca05474d8ee00a09a1e5e", "title" : "Mission Operations Engineer (Platform)", "company" : "Saronic Technologies", "industry" : "Mission Services", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Mission Operations Engineer in Austin, TX, adjusted for the technology industry and company size." }, "location" : "Austin, TX", "locations" : [ "Austin, TX" ], "timestamp" : "2026-06-16T00:32:55.352", "fingerprint" : "7e95b36431cd433a12359dcffd51b9e53d94fc810cd085b3fe9f2afc826f943d", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/saronic/2e889023-7a6d-42d8-bc6a-27a60c7d22b1/application", "externalId" : "2e889023-7a6d-42d8-bc6a-27a60c7d22b1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Rust, Python, EO/IR, Radar, IMU, AI, Machine learning", "professionalSkills" : [ "Systems engineering", "Root cause analysis" ], "hardSkillsList" : [ "Telemetry monitoring", "Data logging", "System robustness", "Vessel operations" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Telemetry monitoring", "level" : "intermediate" }, { "name" : "Data logging", "level" : "intermediate" }, { "name" : "System robustness", "level" : "intermediate" }, { "name" : "Vessel operations", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Autonomous navigation, Perception, Sensor integration, System testing", "majorSkillsList" : [ "Autonomous navigation", "Perception", "Sensor integration", "System testing" ], "coreResponsibilities" : "Develop understanding of vehicle HW, Develop understanding of vehicle SW, Lead planning of field tests, Lead execution of field tests, Diagnose real-time troubleshooting, Perform real-time troubleshooting, Implement solutions for testing, Implement solutions for safety, Implement solutions for system robustness, Own data logging, Own telemetry monitoring, Contribute to root cause analysis, Contribute to issue triage, Maintain autonomous vessels, Maintain test environments, Operate support craft, Ensure testing aligns with DoD standards, Lead planning of test cases, Lead execution of test cases, Interface with autonomy teams, Interface with software teams, Interface with hardware teams, Interface with systems teams, Develop test procedures, Develop checklists, Develop safety protocols, Create post-mission reports", "teamCollaboration" : "Cross-functional coordination; Collaborative team environment; Knowledge sharing; Continuous improvement", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Maritime operations; Autonomous systems; DoD requirements; Marine environments", "domainList" : [ "maritime-operations", "autonomous-systems", "dod-requirements", "marine-environments" ], "domainSpecificKnowledge" : [ "Maritime operations", "Autonomous systems", "DoD requirements", "Marine environments" ], "toolProficiency" : [ "Telemetry tools" ], "communicationSkills" : "Engineering feedback", "documentationSkills" : "Data plots", "continuousLearning" : "Continuous improvement", "problemSolvingSkills" : "Problem-solving; Troubleshooting; Root cause analysis", "specialRequirements" : "Up to 50% travel, Ability to swim, Tread water, Lift up to 75 lbs, Work in marine environments, Operate in low-light conditions, Operate in night conditions, Physically demanding work, Work up to 12 hours/day, Carry 20 lbs up stairs, U.S. Person status required", "outcomesObjectives" : "Achieve desired outcomes; Maximize efficiency; Eliminate repeat issues; Enhance reliability of equipment; Enhance reliability of products; Support repeatable operation; Support safe vessel operation; Support mission execution; Eliminate process waste", "qualificationsBasic" : "Bachelor’s or Master’s degree, 1+ years of hands-on engineering experience", "qualificationsPreferred" : "Problem-solving and troubleshooting skills (HW/SW), Experience with complex test operations, Knowledge of networking protocols, Systems engineering experience, Experience with sensor integration, Experience with integration and testing, Experience with robotics, AI, or ML, Familiarity with software development in Rust, Familiarity with Python, Familiarity with CLI environment, Familiarity with maritime operations, Understanding of DoD requirements, Experience with embedded systems, Experience with real-time computing", "workSiteFlexibility" : "Onsite", "rawDescription" : "Saronic Technologies is a leader in revolutionizing autonomy at sea, dedicated to developing state-of-the-art solutions that enhance maritime operations through autonomous and intelligent platforms. JOB OVERVIEW As a Mission Operations Engineer, you will be hands-on with the deployment, validation, and iterative improvement of our autonomous surface vessels. You will be a member of the Platform Acceptance element, the internal-facing validation arm of new assets that are getting commissioned into the Saronic fleet. Your work will directly support both project-based deliverables (e.g., capability rollouts) and ongoing programs (e.g., V1 software release). You will help ensure our systems meet rigorous technical and operational standards through detailed testing, data analysis, and cross-functional coordination. You are able to meet deadlines and achieve desired outcomes as both an individual contributor and as a part of your team. RESPONSIBILITIES: How you support the mission - Develop deep understanding of vehicle HW and SW architecture, and how the vehicle operates as a integrated system. - Lead planning and execution of structured field tests for vessel performance pertaining to autonomous navigation, perception, communications, and sensor integration, among other vessel functionalities. - Diagnose and perform real-time troubleshooting of autonomy, networking, and onboard hardware or software during test events. - Implement solutions for testing, safety of vessel operations, and system robustness to maximize efficiency. - Own data logging and telemetry monitoring systems; ensure data integrity for post-test analysis. - Contribute to root cause analysis (RCCA) and issue triage workflows after field anomalies, with reporting to relevant review boards to eliminate repeat issues. - Maintain autonomous vessels and test environments, including vessel and support craft operations, through the use of telemetry tools and onboard diagnostics to enhance reliability of all equipment and products. - Ensure testing aligns with DoD performance, compliance, and safety standards when applicable. How you support the team · Lead planning and execution of test cases to validate software updates, autonomy behaviors, and integrated system functionality. · Interface with autonomy, software, hardware, and systems teams to translate product requirements into field-validated test objectives. · Foster a collaborative and positive team environment, promoting open communication, knowledge sharing, and continuous improvement. · Develop test procedures, checklists, and safety protocols to support repeatable and safe vessel operation and overall mission execution while eliminating process waste. · Create post-mission reports with detailed logs, data plots, issue summaries, and engineering feedback. Basic Qualifications: - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field - 1+ years of hands-on engineering experience (design teams and previous internships qualify) Preferred Qualifications: - Strong problem-solving and troubleshooting skills (HW/SW) and ability to work effectively in challenging field conditions such as off-shore in open water - Experience and knowledge of best practices in planning and execution of complex test operations involving autonomous systems - Knowledge of networking protocols and communication systems used in autonomous vessels - Systems engineering experience, ability to understand multi-disciplinary integrated systems - Experience with sensor integration such as EO/IR, radar, IMU, and data processing - Experience with integration and testing of multi-disciplinary integrated systems - Experience with robotics, AI, or machine learning applications - Familiarity with software development in Rust, Python, or other languages and CLI environment - Familiarity with maritime operations - Understanding of DoD requirements and standards for autonomous systems - Experience working with embedded systems and real-time computing - Job requires up to 50% travel. Physical Demands - Ability to certify as “fit for work” by demonstrating ability to swim and tread water - Frequently and repetitively, lift, push and carry up to 75 lbs. - Will be exposed to marine environments, including sun, wind, rain, cold, and saltwater spray, often for extended periods - Must be able to operate in daylight, low-light, and night conditions using marine navigation systems and visual cues - Ability to perform physically demanding work for extended periods of time, up to 12 hours/day - The ability to carry 20 lbs. up and down stairs Benefits - Medical Insurance: Comprehensive health insurance plans covering a range of services - Saronic pays 100% of the premium for employees and 80% for dependents - Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care - Saronic pays 100% of the premium under the basic plan for employees and 80% for dependents - Time Off: Generous PTO and Holidays - Parental Leave: Paid maternity and paternity leave to support new parents - Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses - Retirement Plan: 401(k) plan with company match - Stock Options: Equity options to give employees a stake in the company’s success - Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage - Pet Insurance: Discounted pet insurance options including 24/7 Telehealth helpline - Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office If this role is based in the United States, it requires access to export-controlled information or items that require “U.S. Person” status. As defined by U.S. law, individuals who are any one of the following are considered to be a “U.S. Person”: (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3) https://www.govinfo.gov/link/uscode/8/1324b. Saronic does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. We are also committed to providing reasonable accommodations for qualified individuals with disabilities.", "summaryDescription" : "Mission Operations Engineer (Platform) at Saronic Technologies. Skills: Autonomous navigation, Perception, Sensor integration, System testing. Develop understanding of vehicle HW. Develop understanding of vehicle SW", "createdAt" : "2026-06-14T20:20:46.586", "lastUpdated" : "2026-06-16T00:32:55.352", "ingestTimestamp" : "2026-06-14T20:20:46.586", "mongoId" : "6a2ca05474d8ee00a09a1e5e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Telemetry monitoring", "Data logging", "System robustness", "Vessel operations", "Leadership", "Autonomous navigation", "Perception", "Sensor integration", "System testing", "Systems engineering", "Root cause analysis", "Roadmap planning", "Maritime operations", "Autonomous systems", "DoD requirements", "Marine environments", "Telemetry tools" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 589.64856, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cea0374d8ee00a0a6f634", "title" : "Drone Operator (R5145)", "company" : "Shield AI", "industry" : "Deployed Operations", "salary" : { "min" : 180000.0, "max" : 300000.0, "currency" : "UAH", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Drone Operator internship in Kyiv, Ukraine, adjusted for the defense tech industry." }, "location" : "Kyiv", "locations" : [ "Kyiv" ], "timestamp" : "2026-06-16T03:25:51.395", "fingerprint" : "9c30b7f6d9b3441dc896e8771b66b2dbb2c42f450049c064afaf11d406491b46", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/shieldai/d1f893bc-6bbf-4709-af74-be04ecf24e00/apply", "externalId" : "d1f893bc-6bbf-4709-af74-be04ecf24e00", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kyiv", "country" : "Ukraine", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.4500336,30.5241361" } ], "locationText" : "Kyiv, Ukraine", "employmentType" : "INTERNSHIP", "professionalSkills" : [ "Problem-solving" ], "majorSkills" : "ISR, UAS operations, Tactical operations", "majorSkillsList" : [ "ISR", "UAS operations", "Tactical operations" ], "coreResponsibilities" : "Support ISR missions, Support operational missions, Operate V-BAT platform, Conduct long-range intelligence, Conduct surveillance, Conduct reconnaissance, Conduct mission support operations", "teamCollaboration" : "Partnered military units", "domainKnowledge" : "Electronic warfare environments", "domainList" : [ "electronic-warfare-environments" ], "domainSpecificKnowledge" : [ "Electronic warfare environments" ], "communicationSkills" : "Communication", "specialRequirements" : "Ability to travel internationally", "qualificationsBasic" : "Prior military experience, UAS experience, Aviation experience, Tactical operations experience, Operate in austere environments, Operate in high-tempo environments, Conversational English proficiency, Learn technical systems quickly, Valid passport, Ability to travel internationally", "qualificationsPreferred" : "Experience operating Group 2 UAS, Experience operating Group 3 UAS, Prior ISR experience, Prior EO/IR experience, Prior sensor operator experience, Experience with mission planning, Experience with flight operations, Experience training operators, Experience mentoring operators", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: We are seeking experienced UAS operators to support real-world ISR and operational missions in Ukraine utilizing the V-BAT platform. Operators will work directly alongside partnered military units conducting long-range intelligence, surveillance, reconnaissance, and mission support operations in highly contested electronic warfare environments. This position is ideal for individuals with prior military aviation, UAS, ISR, or tactical operations experience who are comfortable operating in dynamic and austere environments. ## Required qualifications Prior military, UAS, aviation, or tactical operations experience Ability to operate in austere and high-tempo environments Strong communication and problem-solving skills; Conversational level of English proficiency. Ability to learn and operate technical systems quickly Valid passport and ability to travel internationally ## Preferred qualifications Experience operating Group 2 or Group 3 UAS platforms Prior ISR, EO/IR, or sensor operator experience Experience with mission planning and flight operations Experience training or mentoring operators ## Additional Information #LI-LD2 #LB Our international teammates receive a comprehensive total rewards package aligned to your country office location. For full details on compensation and benefits, please consult your talent acquisition partner.", "summaryDescription" : "Drone Operator (R5145) at Shield AI. Skills: ISR, UAS operations, Tactical operations. Support ISR missions. Support operational missions", "postedDate" : "2026-06-12T21:53:37.855", "createdAt" : "2026-06-12T21:53:37.855", "lastUpdated" : "2026-06-16T03:25:51.395", "ingestTimestamp" : "2026-06-14T21:13:15.637", "mongoId" : "6a2cea0374d8ee00a0a6f634", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "ISR", "UAS operations", "Tactical operations", "Problem-solving", "Electronic warfare environments" ], "skillCount" : 5, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 586.5085, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Defense Tech", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2a553074d8ee00a0606105", "title" : "Counsel, Product & Commercial (Rideshare & Autonomous Vehicles)", "company" : "Lyft", "industry" : "Technology", "salary" : { "min" : 176000.0, "max" : 220000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States" ], "timestamp" : "2026-06-14T20:01:39.489", "fingerprint" : "49d139bc87def9a1f7bbf354bfe56dd4247ebd896b285fdb9f01e1fae4a2553a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://app.careerpuck.com/job-board/lyft/job/8584969002?gh_jid=8584969002", "externalId" : "8584969002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Product counseling", "Commercial transactions", "Legal advisor", "Thought leader", "Risk management", "Legal strategies" ], "hardSkillsList" : [ "Regulatory compliance", "Consumer protection", "Privacy issues", "Safety issues", "Contract interpretation", "Product legal guidance" ], "softSkillsList" : [ "Strategic", "Entrepreneurial", "Resourceful", "Problem-solver", "Judgment", "Business-minded", "Grace under pressure" ], "hardSkills" : [ { "name" : "Regulatory compliance", "level" : "intermediate" }, { "name" : "Consumer protection", "level" : "intermediate" }, { "name" : "Privacy issues", "level" : "intermediate" }, { "name" : "Safety issues", "level" : "intermediate" }, { "name" : "Contract interpretation", "level" : "intermediate" }, { "name" : "Product legal guidance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Strategic" }, { "name" : "Entrepreneurial" }, { "name" : "Resourceful" }, { "name" : "Problem-solver" }, { "name" : "Judgment" }, { "name" : "Business-minded" }, { "name" : "Grace under pressure" } ], "majorSkills" : "Autonomous vehicles, Product development, Commercial partnerships", "majorSkillsList" : [ "Autonomous vehicles", "Product development", "Commercial partnerships" ], "coreResponsibilities" : "Serve as strategic thought leader, Shape autonomous vehicle deployment, Guide marketplace integration, Guide third-party platform partnerships, Mitigate regulatory issues, Mitigate consumer protection issues, Mitigate privacy issues, Mitigate safety issues, Provide full-lifecycle product legal guidance, Translate contract terms, Translate regulatory demands, Develop actionable product frameworks, Develop technical implementation strategies, Lead long-term initiatives, Drive autonomous mobility roadmap, Coordinate across legal silos, Coordinate across business silos, Ensure compliant execution, Advance Lyft priorities, Develop legal strategies, Drive legal strategies, Improve internal processes, Calibrate legal risk approach, Satisfy product iteration demands", "teamCollaboration" : "Partner with AV teams; Partner with Product teams; Partner with Engineering teams; Partner with Business Development teams; Partner with cross-functional organizations; Coordinate across legal silos; Coordinate across business silos; Collaborate with legal team members", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Autonomous vehicles; Consumer-focused partnerships; Emerging technologies; Product development; Regulatory demands; Marketplace integration; Third-party platforms", "domainList" : [ "autonomous-vehicles", "consumer-focused-partnerships", "emerging-technologies", "product-development", "regulatory-demands", "marketplace-integration", "third-party-platforms" ], "domainSpecificKnowledge" : [ "Autonomous vehicles", "Consumer-focused partnerships", "Emerging technologies", "Product development", "Regulatory demands", "Marketplace integration", "Third-party platforms" ], "communicationSkills" : "Communication skills", "problemSolvingSkills" : "Problem-solving capabilities", "specialRequirements" : "Work in-office 3 days/week, Work from anywhere 4 weeks/year", "qualificationsBasic" : "5+ years experience, J.D. from accredited law school, Active U.S. state bar membership, Product counseling experience, Commercial transactions experience, Legal counsel on product development, Legal counsel on emerging technologies, Legal counsel on AV initiatives, Experience at tech company, Experience in regulated industry, Craft creative legal solutions, Handle complex commercial negotiations", "qualificationsPreferred" : "Experience in highly regulated industry", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is seeking an experienced, strategic, and self-motivated attorney to join the Product & Commercial Legal Team to focus primarily on Lyft's autonomous vehicles (AV) initiatives and strategic consumer-focused partnerships. You’ll serve as a trusted legal advisor and thought leader, partnering closely with our Autonomous Vehicles, Product, Engineering, and Business Development teams to guide the development, commercialization, and deployment of cutting-edge AV technologies and product integrations. The legal issues you’ll encounter are revolutionary and always evolving. The successful candidate will be a pragmatic, entrepreneurial, and resourceful problem-solver who can build strong relationships, navigate uncharted territory, and craft creative legal frameworks where no obvious playbook exists. Responsibilities: Serve as a strategic thought leader to AV and Partnership product and business teams to actively shape and guide Lyft’s approach to autonomous vehicle deployment, marketplace integration, and third-party platform partnerships. Partner closely with cross-functional organizations—including Product, Engineering, Marketing, Operations, Public Policy, and Comms—to recognize and mitigate regulatory, consumer protection, privacy, and safety issues related to the development and commercialization of AV and partnership-driven products. Provide full-lifecycle product legal guidance, translating complex contract terms and regulatory demands into actionable product frameworks and technical implementation strategies. Lead and contribute to high-impact, long-term initiatives that drive Lyft’s broader autonomous mobility roadmap, coordinating across legal and business silos to ensure timely, compliant execution of public-facing programs. Advance Lyft’s priorities by connecting issues across business leaders and subject matter experts to develop and drive comprehensive, long-term legal strategies that balance innovation with risk management. Collaborate with legal team members to improve internal processes, calibrate the company’s approach to legal risk, and ensure rapid product iteration demands are satisfied. Experience: 5+ years of experience working in a top-tier law firm or in-house legal department, with a strong focus on product counseling or commercial transactions. J. D. from an accredited law school and active membership in at least one U. S. state bar. Experience providing legal counsel on product development, emerging technologies, or AV initiatives at a tech company or other highly regulated, innovation-driven industry. Comfort navigating uncharted territory—able to craft creative, practical legal solutions where the rules are unclear and there is no established precedent. Demonstrated experience handling high-stakes, structurally complex commercial negotiations with sophisticated counterparties. Excellent problem-solving capabilities, independent judgment, and communication skills, with a proven ability to provide firm but well-reasoned, business-minded advice to product and engineering leaders. Ability to think quickly on your feet, convey grace under pressure, and simultaneously manage complex product launch timelines and shifting priorities. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan with company match to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Monthly Lyft credits and complimentary Lyft Pink membership Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the San Francisco area is $176,000 - $220,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.", "summaryDescription" : "Counsel, Product & Commercial (Rideshare & Autonomous Vehicles) at Lyft. Skills: Autonomous vehicles, Product development, Commercial partnerships. Serve as strategic thought leader. Shape autonomous vehicle deployment", "postedDate" : "2026-06-11T17:26:59.340", "createdAt" : "2026-06-11T17:26:59.340", "lastUpdated" : "2026-06-14T20:01:39.489", "ingestTimestamp" : "2026-06-11T17:26:59.340", "mongoId" : "6a2a553074d8ee00a0606105", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 176000, "salaryAnnualMax" : 220000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Regulatory compliance", "Consumer protection", "Privacy issues", "Safety issues", "Contract interpretation", "Product legal guidance", "Strategic", "Entrepreneurial", "Resourceful", "Problem-solver", "Judgment", "Business-minded", "Grace under pressure", "Autonomous vehicles", "Product development", "Commercial partnerships", "Product counseling", "Commercial transactions", "Legal advisor", "Thought leader", "Risk management", "Legal strategies", "Roadmap planning", "Consumer-focused partnerships", "Emerging technologies", "Regulatory demands", "Marketplace integration", "Third-party platforms" ], "skillCount" : 28, "jobCategory" : "product", "jobSubcategory" : "product-&-commercial,-compliance,-ip-and-osac", "dataQualityScore" : 0.8888889, "_score" : 580.881, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2a5c9d74d8ee00a06152f7", "title" : "Head of Mission Readiness, Autonomous Airpower", "company" : "Anduril Industries", "industry" : "defense technology", "salary" : { "min" : 275000.0, "max" : 425000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Director level in Defense Technology in Costa Mesa, California, adjusted for company size and seniority." }, "location" : "Costa Mesa, California, United States", "locations" : [ "Costa Mesa", "California", "United States" ], "timestamp" : "2026-06-14T21:34:59.529", "fingerprint" : "ea0ead252330c99b87eb11ac4cdafba2c39996209c71391f5e352dcee84ae0b5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/andurilindustries/jobs/5158742007?gh_jid=5158742007", "externalId" : "5158742007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Costa Mesa", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.6633386,-117.9033170" } ], "locationText" : "Costa Mesa, California, United States", "experienceLevel" : "Manager", "professionalSkills" : [ "Logistics management", "Program administration", "Operations management", "Manufacturing engineering", "Supply chain management", "Government logistics", "DoD logistics" ], "hardSkillsList" : [ "Logistics strategies", "Budget monitoring", "Contract acquisitions", "Negotiations" ], "softSkillsList" : [ "Leadership", "Critical thinking" ], "hardSkills" : [ { "name" : "Logistics strategies", "level" : "intermediate" }, { "name" : "Budget monitoring", "level" : "intermediate" }, { "name" : "Contract acquisitions", "level" : "intermediate" }, { "name" : "Negotiations", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Critical thinking" } ], "majorSkills" : "Mission Readiness, Integrated Support, Logistics", "majorSkillsList" : [ "Mission Readiness", "Integrated Support", "Logistics" ], "coreResponsibilities" : "Direct Mission Readiness - Integrated Logistics Support activities, Execute logistics support, Implement logistics processes, Implement logistics best practices, Provide technical oversight, Monitor budget, Take Integrated Logistics Support from zero to one, Implement logistics systems, Maintain logistics systems, Implement logistics standards, Maintain logistics standards, Implement logistics data, Maintain logistics data, Lead a high-performing team, Develop a high-performing team, Recruit team members, Train team members, Manage team performance, Collaborate with cross-functional teams, Ensure alignment of logistics goals, Ensure execution of logistics goals, Develop logistics plans, Implement logistics plans, Ensure timely execution of logistics program deliverables, Participate with engineering to establish design concepts, Participate with engineering to establish design criteria, Participate with engineering to establish engineering efforts, Influence preparation of proposals, Coordinate preparation of proposals, Influence preparation of business plans, Coordinate preparation of business plans, Influence preparation of proposal work statements, Coordinate preparation of proposal work statements, Influence preparation of specifications, Coordinate preparation of specifications, Influence preparation of operating budgets, Coordinate preparation of operating budgets, Influence preparation of financial terms/conditions of contract(s), Coordinate preparation of financial terms/conditions of contract(s), Influence contract acquisitions, Negotiate contract acquisitions, Modify contract acquisitions, Problem solve for your team, Remove obstacles for your team, Problem solve for partners, Remove obstacles for partners, Think critically, Engage the right teams, Communicate effectively to keep teams informed, Ensure stakeholders understand accomplishments, Ensure stakeholders understand timelines, Roll up your sleeves, Get the job done", "teamCollaboration" : "Cross-functional teams; Engineering teams; Quality teams; Program management teams; Internal teams; External teams", "projectManagementSkills" : [ "Program administration", "Scheduling", "Coordinating workloads" ], "domainKnowledge" : "Commercial logistics; Military logistics; Government programs; DoD logistics; Aircraft logistics", "domainList" : [ "commercial-logistics", "military-logistics", "government-programs", "dod-logistics", "aircraft-logistics" ], "domainSpecificKnowledge" : [ "Commercial logistics", "Military logistics", "Government programs", "DoD logistics", "Aircraft logistics" ], "communicationSkills" : "Communicate effectively", "problemSolvingSkills" : "Problem solve; Think critically", "specialRequirements" : "Ability to travel, Ability to be local, Relocate to Costa Mesa, CA, Maintain U. S. Secret security clearance", "qualificationsBasic" : "Bachelor's degree in engineering, business, or related field, 10+ years of experience in DoD/government logistics or progressively complex program administration, Leadership roles in operations, manufacturing engineering, or supply chain, Eligible to obtain and maintain an active U. S. Secret security clearance, Ability to travel as needed for the business, Ability to be local or relocate to Costa Mesa, CA", "qualificationsPreferred" : "Expertise in regulatory requirements as it relates to the DoD or government logistics, Experience related to aircraft, Experience working with, in, and around Air Force or other military branch Integrated Logistics operations, Ability to work cross-functionally, including at a deeply technical level, Unstructured startup experience, Outcome orientation with the ability to drive initiatives from inception to implementation and adoption, Willing and able to dive into tactical execution mode, Demonstrated ability to lead projects from idea conception to idea execution without assistance, Government Proposal experience", "workSiteFlexibility" : "Onsite", "rawDescription" : "Anduril Industries is a defense technology company with a mission to transform U. S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE JOB We are looking for a Head of Mission Readiness, Autonomous Airpower (Fury) to join our rapidly growing team in Costa Mesa, CA. You’ll be leading the effort to advance and formalize Anduril’s Mission Readiness - Integrated Support capabilities. You will lead the development, implementation, and management of comprehensive logistics strategies that improve Anduril’s ability to deploy, maintain, and sustain hardware. This role involves leading and coordinating with cross-functional teams to ensure seamless integration of all elements of Mission Readiness - Integrated Product Support. It will require a breadth of understanding of both commercial and military logistics, experience working on government programs, and a deep appreciation for details. This position is pivotal in ensuring Anduril continues to scale our capabilities in government and DoD logistics. We are a fast-growing company at the early stages of our growth, and you will be expected to own material and important projects during your time on the team, which will have a significant impact on the company’s trajectory. Anduril fosters a diverse, collaborative, culture with plenty of opportunities for ownership and professional growth. WHAT YOU’LL DO Direct all Mission Readiness - Integrated Logistics Support activities across programs to include execution, process, best practices, technical oversight, and budget monitoring. Responsible for taking Integrated Logistics Support at Anduril from zero to one on an extremely aggressive timeline. Implement and maintain logistics systems, standards, and data to ensure accurate and efficient logistics operations and management. Lead and develop a high-performing team, including recruitment, training, and performance management. Collaborate with cross-functional teams, including engineering, quality, and program management, to ensure alignment and execution of logistics goals. Develop and implement logistics plans and best practices to ensure the timely execution of all logistics program deliverables in a highly collaborative environment. Participate with engineering to establish design concepts, criteria, and engineering efforts for product research, development, testing, and integration. Influence, and coordinate the preparation of proposals, business plans, proposal work statements and specifications, operating budgets, and financial terms/conditions of contract(s). Influence contract acquisitions, negotiations, and modifications. Problem solve and remove obstacles for your team and internal and external partners. Know how to think critically and engage the right teams to help. Communicate effectively to keep internal and external teams informed at all times. Use the necessary channels (Slack, email, meetings) to ensure stakeholders understand what needs to be accomplished and when. Be a team player where no task is too small. Be willing to roll up your sleeves and get the job done. Embrace the startup life. QUALIFICATIONS Bachelor's degree in engineering, business, or related field. 10+ years of experience in DoD/government logistics or progressively complex program administration experience, including leadership roles in operations, manufacturing engineering, or supply chain. Demonstrates technical expertise and application of logistics management principles, concepts, and practice as well as leadership skills including organizing, planning, scheduling, and coordinating workloads to meet established deadlines or milestones. Eligible to obtain and maintain an active U. S. Secret security clearance. Ability to travel as needed for the business. Ability to be local or relocate to Costa Mesa, CA. PREFERRED QUALIFICATIONS Expertise in regulatory requirements as it relates to the DoD or government logistics, preferably related to aircraft Experience working with, in, and around Air Force or other military branch Integrated Logistics operations. Excellent leadership, communication, and interpersonal skills. Strong ability to work cross-functionally, including at a deeply technical level, in an unstructured environment; startup experience preferred. Strong outcome orientation with the ability to drive initiatives from inception to implementation and adoption. Willing and able to dive into tactical execution mode when needed to move the effort forward. Demonstrated ability to lead projects from idea conception to idea execution without assistance. Moves fast, has a positive attitude and can lead people directly and via influence. Government Proposal experience is desired. US Salary Range $253,000—$336,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits. Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com. Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.", "summaryDescription" : "Head of Mission Readiness, Autonomous Airpower at Anduril Industries. Skills: Mission Readiness, Integrated Support, Logistics. Direct Mission Readiness - Integrated Logistics Support activities. Execute logistics support", "postedDate" : "2026-06-11T22:14:52.762", "createdAt" : "2026-06-11T22:14:52.762", "lastUpdated" : "2026-06-14T21:34:59.529", "ingestTimestamp" : "2026-06-11T22:14:52.762", "mongoId" : "6a2a5c9d74d8ee00a06152f7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 275000, "salaryAnnualMax" : 425000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Logistics strategies", "Budget monitoring", "Contract acquisitions", "Negotiations", "Leadership", "Critical thinking", "Mission Readiness", "Integrated Support", "Logistics", "Logistics management", "Program administration", "Operations management", "Manufacturing engineering", "Supply chain management", "Government logistics", "DoD logistics", "Scheduling", "Coordinating workloads", "Commercial logistics", "Military logistics", "Government programs", "Aircraft logistics" ], "skillCount" : 22, "jobCategory" : "product", "jobSubcategory" : "programs-:-deployments-:-integrated-product-support", "dataQualityScore" : 0.8888889, "_score" : 573.27106, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "defense technology" }, { "id" : "6a306652f292fd229cfb0217", "title" : "Robotics Firmware Intern - Drone Platform & Systems", "company" : "Wingtra", "industry" : "Software Engineering", "salary" : { "min" : 48000.0, "max" : 60000.0, "currency" : "CHF", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for an entry-level Robotics Firmware Intern in Zurich, Switzerland, adjusted for the technology industry." }, "location" : "Zürich", "locations" : [ "Zürich" ], "timestamp" : "2026-06-16T14:53:49.441", "fingerprint" : "0161eed005673678d646d4b625738b6dfc98096358959a3cea3f7830bded912e", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/wingtra-2/45a54b09-c92c-4607-b17f-9254de177c16/apply", "externalId" : "45a54b09-c92c-4607-b17f-9254de177c16", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Zürich", "country" : "Switzerland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "47.3744489,8.5410422" } ], "locationText" : "Zürich, Switzerland", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "technicalSkills" : "C, C++, Python, Embedded C/C++, Real-time software, Resource-constrained software", "professionalSkills" : [ "Data analysis", "Visualization", "Time-series datasets" ], "hardSkillsList" : [ "Firmware development", "System integration", "Log analysis", "Debugging", "Automated testing", "Hardware-in-the-loop testing", "Simulation campaigns", "In-field drone tests" ], "hardSkills" : [ { "name" : "Firmware development", "level" : "intermediate" }, { "name" : "System integration", "level" : "intermediate" }, { "name" : "Log analysis", "level" : "intermediate" }, { "name" : "Debugging", "level" : "intermediate" }, { "name" : "Automated testing", "level" : "intermediate" }, { "name" : "Hardware-in-the-loop testing", "level" : "intermediate" }, { "name" : "Simulation campaigns", "level" : "intermediate" }, { "name" : "In-field drone tests", "level" : "intermediate" } ], "majorSkills" : "Embedded C/C++, Python, Firmware development, Drone systems", "majorSkillsList" : [ "Embedded C/C++", "Python", "Firmware development", "Drone systems" ], "coreResponsibilities" : "Explore embedded C/C++ features, Develop embedded C/C++ features, Deploy embedded C/C++ features, Develop platform firmware components, Maintain platform firmware components, Analyze flight logs, Analyze system logs, Extend log analysis toolchain, Extend debugging toolchain, Design automated tests, Execute automated tests, Design hardware-in-the-loop campaigns, Execute hardware-in-the-loop campaigns, Design simulation campaigns, Execute simulation campaigns, Design in-field drone tests, Execute in-field drone tests, Ensure robust system integration, Ensure reliable product behavior, Participate in team meetings, Participate in technical discussions, Participate in code reviews, Participate in feedback sessions, Participate in company-wide meetings", "teamCollaboration" : "QA teams; Hardware teams; Production teams; App teams; Technical discussions; Code reviews; Feedback sessions", "domainKnowledge" : "Robotics; Drone platform; Aerial robots; UAV/autopilot software; Embedded systems; Real-time systems; Resource-constrained systems; Low-level protocols; Companion computers", "domainList" : [ "robotics", "drone-platform", "aerial-robots", "uav-autopilot-software", "embedded-systems", "real-time-systems", "resource-constrained-systems", "low-level-protocols", "companion-computers" ], "domainSpecificKnowledge" : [ "Robotics", "Drone platform", "Aerial robots", "UAV/autopilot software", "Embedded systems", "Real-time systems", "Resource-constrained systems", "Low-level protocols", "Companion computers" ], "toolProficiency" : [ "Git", "PX4", "ArduPilot", "MAVLink", "Dronecode SDK", "STM32", "Raspberry Pi" ], "communicationSkills" : "Interpersonal skills; Spoken English; Written English", "continuousLearning" : "Never stop learning", "problemSolvingSkills" : "Problem-solving skills; Technical problems", "specialRequirements" : "Work-permit regulations", "qualificationsBasic" : "B. Sc. degree, M. Sc. degree, EU citizenship, Enrollment in a Swiss institution", "qualificationsPreferred" : "Familiarity with git, Familiarity with code review, Familiarity with CI, Familiarity with AI-assisted development, Experience with PX4, Experience with ArduPilot, Experience with MAVLink, Experience with Dronecode SDK, Experience with STM32 microcontrollers, Experience with low-level protocols, Experience with Raspberry Pi, Experience with companion computers, Experience with soldering, Experience with electronics debugging, Experience with hands-on robotics work, Driving license (B)", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Description Join the Wingtra team and become part of this venture-backed robotics scaleup with a global and international team of 125+ dedicated Wingtranauts who want to see their actions have a positive and lasting impact on the world. Founded more than 8 years ago at ETH Zurich, Europe’s leading robotics university, our goal is to build the best aerial robots to digitize the world at the push of a button and set the basis for faster and better decisions. Wingtra provides efficient and reliable data solutions to a variety of industries ranging from mining, construction and agriculture to humanitarian organizations, environmentalists and wildlife monitoring groups. We are reaching for the stars and together we might just get there. Open communication, asking hard questions and valuing diverse viewpoints are but a few things that will help us achieve our goals. Above all we will never stop learning and striving to help each other reach our maximum potential. ## Responsibilities Explore, develop and deploy embedded C/C++ software features for the WingtraRAY platform and upcoming products Develop and maintain platform firmware components such as sensor and payload integration, system health monitoring, onboard component communication, online validation logic, diagnostics and safety-related workflows Analyze flight and system logs from internal testing and customer operations, and extend our Python-based log analysis and debugging toolchain Design and execute automated tests, hardware-in-the-loop or simulation campaigns, and in-field drone tests for your code Work closely with QA, hardware, production and app teams to ensure robust system integration and reliable product behavior Participate in team meetings, technical discussions, code reviews, feedback sessions and company-wide all-hands meetings ## Requirements You finished your B.Sc. and are pursuing a M.Sc. degree in Software / Robotics / Mechatronics Engineering or a related technical field Comfortable developing in C / C++ and interested in embedded real-time and resource-constrained software systems Comfortable working in Python for data analysis, visualization and handling large time-series datasets Hungry to learn, with strong problem-solving skills and the ability to work independently on technical problems Good interpersonal and communication skills, with a good command of spoken and written English Collaborative, self-motivated and open to feedback, with a strong sense of ownership and engineering responsibility EU citizenship or enrollment in a Swiss institution required to comply with work-permit regulations. ## Plus Familiarity with git, code review, CI and AI-assisted development workflows Experience with PX4, ArduPilot, MAVLink, Dronecode SDK or other UAV/autopilot software stacks Experience with STM32 microcontrollers and low-level protocols Experience with Raspberry Pi or other companion computers Experience with soldering, electronics debugging or hands-on robotics work Driving license (B) ## Additional Information If you enjoy teamwork more than being the individual superhero, and if you thrive in a feedback-driven culture and an exciting, unconventional yet structured and progressive start-up environment, we would love to hear from you.", "summaryDescription" : "Robotics Firmware Intern - Drone Platform & Systems at Wingtra. Skills: Embedded C/C++, Python, Firmware development, Drone systems. Explore embedded C/C++ features. Develop embedded C/C++ features", "postedDate" : "2026-06-15T10:54:30.769", "createdAt" : "2026-06-15T10:54:30.769", "lastUpdated" : "2026-06-16T14:53:49.441", "ingestTimestamp" : "2026-06-16T03:26:55.201", "mongoId" : "6a306652f292fd229cfb0217", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Firmware development", "System integration", "Log analysis", "Debugging", "Automated testing", "Hardware-in-the-loop testing", "Simulation campaigns", "In-field drone tests", "Embedded C/C++", "Python", "Drone systems", "Data analysis", "Visualization", "Time-series datasets", "Robotics", "Drone platform", "Aerial robots", "UAV/autopilot software", "Embedded systems", "Real-time systems", "Resource-constrained systems", "Low-level protocols", "Companion computers", "Git", "PX4", "ArduPilot", "MAVLink", "Dronecode SDK", "STM32", "Raspberry Pi" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 571.59174, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a15e45f58b93c861e7c6a4f", "title" : "CDL A SEMI LOCAL Driver", "company" : "Salt City Trucking", "industry" : "Logistics", "salary" : { "min" : 65000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for CDL A Semi Local Drivers in American Falls, United States, adjusted for entry-level seniority and the food & beverage industry." }, "location" : "American Falls, ID", "locations" : [ "American Falls", "ID" ], "certifications" : [ "CDL A" ], "timestamp" : "2026-06-15T13:21:06.955", "fingerprint" : "bee31305191d42ec3c18ee857cd30c7e424587a22883f2fb8872a7481ddcf607", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://salt-city-trucking.breezy.hr/p/a52359511b31-cdl-a-semi-local-driver-lamb-weston-account", "externalId" : "a52359511b31", "industryFunction" : { }, "structuredLocations" : [ { "city" : "American Falls", "state" : "Idaho", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.7860227,-112.8544370" } ], "locationText" : "American Falls, Idaho, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "hardSkillsList" : [ "CDL A license" ], "hardSkills" : [ { "name" : "CDL A license", "level" : "intermediate" } ], "majorSkills" : "Semi local driving", "majorSkillsList" : [ "Semi local driving" ], "coreResponsibilities" : "Deliver to 4 states, No touch freight", "specialRequirements" : "5 days out, Weekends off, Days", "qualificationsBasic" : "3 months experience required", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "SEMI LOCAL driver position FOR LAMB WESTON FORJB HUNT gone 5 days out!! RESTS AT HOME 2 to 3 times a week as well! Weekends off ! DAYS !LOTS OF FRIEGHT !! NO TOUCH FRIEGHT! COMPETITIVE PAY on cent per mile! 3 MONTHS EXPERIENCED REQUIRED! Delivers to 4 different states! STEADY FREIGHT ! It is", "summaryDescription" : "CDL A SEMI LOCAL Driver at Salt City Trucking. Skills: Semi local driving. Deliver to 4 states. 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Refurbish drone systems", "createdAt" : "2026-06-14T19:34:07.004", "lastUpdated" : "2026-06-16T02:27:18.271", "ingestTimestamp" : "2026-06-14T19:34:07.004", "mongoId" : "6a161f5f58b93c861e9197b2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 95000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Drone systems" ], "skillCount" : 1, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 559.95984, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.85 }, { "id" : "6a220dde74d8ee00a0d6f328", "title" : "CDL A Semi-Local Driver", "company" : "4th Day Trucking", "industry" : "Logistics", "salary" : { "min" : 94000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arbon Valley, ID", "locations" : [ "Arbon Valley", "ID" ], "certifications" : [ "CDL A" ], "timestamp" : "2026-06-15T22:48:24.399", "fingerprint" : "b50f0b7bdd85104bb50de0a9f7b816daa2735fe62f833f96e520a540a1c24d8e", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://4th-day-trucking.breezy.hr/p/98927fa7d69d-cdl-a-semi-local-driver", "externalId" : "98927fa7d69d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arbon Valley", "state" : "Idaho", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.8846560,-112.5887079" } ], "locationText" : "Arbon Valley, Idaho, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "coreResponsibilities" : "Make deliveries in WA, ID, OR, and UT", "specialRequirements" : "No Touch freight", "qualificationsBasic" : "3 months experience required", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Hiring Regional CDL A drivers for our semi-local Tractor-Trailer Position with full benefits. 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Tel Aviv, Israel; United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Python, PX4, ArduPilot, C2, Docker, k3s, k3d, CMake, Conan, UCI, OMS, MOSA, WOSA", "professionalSkills" : [ "System design", "Technical direction", "Interface contracts", "Process gaps", "Mission readiness", "Hardware/software compatibility", "Capability Release", "Fleet-scale deployment", "Multi-agent coordination", "Autonomy software development", "Payload computer bring-up", "Autopilot integration", "Software-in-the-loop", "Hardware-in-the-loop", "Vehicle-in-the-loop", "Live test exercise", "Mission data capture", "Issue reproduction", "Integration timelines", "Test reliability", "Mission reliability", "Team efficiency", "Deployment cycles" ], "hardSkillsList" : [ "Motion planning", "Tactics", "Track fusion", "Mission behaviors", "Platform control", "Multi-agent coordination", "Contingencies", "Executive autonomy", "Flight tests", "Range exercises", "Live events", "Customer demonstrations", "Memory profiling", "CPU profiling", "Timing profiling", "Simulation", "Message standards", "Open-systems standards" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Motion planning", "level" : "intermediate" }, { "name" : "Tactics", "level" : "intermediate" }, { "name" : "Track fusion", "level" : "intermediate" }, { "name" : "Mission behaviors", "level" : "intermediate" }, { "name" : "Platform control", "level" : "intermediate" }, { "name" : "Multi-agent coordination", "level" : "intermediate" }, { "name" : "Contingencies", "level" : "intermediate" }, { "name" : "Executive autonomy", "level" : "intermediate" }, { "name" : "Flight tests", "level" : "intermediate" }, { "name" : "Range exercises", "level" : "intermediate" }, { "name" : "Live events", "level" : "intermediate" }, { "name" : "Customer demonstrations", "level" : "intermediate" }, { "name" : "Memory profiling", "level" : "intermediate" }, { "name" : "CPU profiling", "level" : "intermediate" }, { "name" : "Timing profiling", "level" : "intermediate" }, { "name" : "Simulation", "level" : "intermediate" }, { "name" : "Message standards", "level" : "intermediate" }, { "name" : "Open-systems standards", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Autonomous Pilot Integration, Autonomy software, Fleet operations, Embedded systems", "majorSkillsList" : [ "Autonomous Pilot Integration", "Autonomy software", "Fleet operations", "Embedded systems" ], "coreResponsibilities" : "Lead a team of autonomy engineers, Own team delivery, Own team growth, Own technical health, Grow the team via hiring, Identify needed skills, Partner with recruiting, Run interviews, Set hiring bar, Close candidates, Mentor engineers, Provide technical help, Develop autonomy software, Integrate autonomy software, Integrate payload computer, Integrate autopilot, Coordinate multi-agent, Deploy to disconnected environments, Deploy to air-gapped environments, Lead design, Lead development, Lead delivery, Set technical direction, Break down work, Unblock the team, Report progress to leadership, Report progress to stakeholders, Act as technical interface, Author interface contracts, Negotiate interface contracts, Drive design reviews, Drive ICDs, Drive post-mortems, Push team toward rigor, Close process gaps, Own build process, Own configuration process, Own validation process, Coordinate hardware/software compatibility, Coordinate mission readiness, Coordinate CR cadence, Travel to test sites, Support live mission operations, Perform safety checks, Perform system bring-up, Troubleshoot under constraints, Diagnose integration issues, Resolve integration issues, Capture mission data, Capture test data, Reproduce issues in simulation, Drive fixes into builds, Build tools for efficiency, Build processes for efficiency, Own interface contracts with C2 providers, Drive compliance against standards", "teamCollaboration" : "Partner with Autonomy Capabilities team; Partner with Perception team; Partner with feature crews; Partner with autopilot vendors; Partner with C2 providers; Partner with customer partners; Partner with contractor partners; Collaborate with autonomy capability owners", "projectManagementSkills" : [ "Agile", "Capability Release", "Fleet-scale deployment" ], "domainKnowledge" : "Defense-tech; Autonomous systems; Launched effects platforms; Multi-agent fleets; Disconnected environments; Air-gapped environments; Autonomy software; Unmanned platforms; Operating domains; U.S. Department of Defense; International defense customers; Tactical edge C2; Open-systems standards", "domainList" : [ "defense-tech", "autonomous-systems", "launched-effects-platforms", "multi-agent-fleets", "disconnected-environments", "air-gapped-environments", "autonomy-software", "unmanned-platforms", "operating-domains", "u-s-department-of-defense", "international-defense-customers", "tactical-edge-c2", "open-systems-standards" ], "domainSpecificKnowledge" : [ "Defense-tech", "Autonomous systems", "Launched effects platforms", "Multi-agent fleets", "Disconnected environments", "Air-gapped environments", "Autonomy software", "Unmanned platforms", "Operating domains", "U.S. Department of Defense", "International defense customers", "Tactical edge C2", "Open-systems standards" ], "toolProficiency" : [ "QGroundControl", "Docker", "k3s", "k3d", "Conan", "CMake" ], "communicationSkills" : "Technical interface; ICDs; Interface contracts; Customer-facing relationships; Partner-facing relationships; DoD stakeholders; Technical reviews", "documentationSkills" : "ICDs; Interface contracts; Documentation", "problemSolvingSkills" : "Troubleshooting; Debugging; Root cause analysis", "specialRequirements" : "Travel to test sites, On-site support, SECRET clearance", "outcomesObjectives" : "Deliver major capability; Deliver major program; Improve integration timelines; Improve test reliability; Improve team efficiency", "qualificationsBasic" : "Ability to obtain a SECRET clearance", "qualificationsPreferred" : "Direct experience with PX4, Direct experience with ArduPilot, Experience using QGroundControl, Experience developing on QGroundControl, Proficiency in Python, Experience leading a feature crew, Experience leading a sub-program, Experience leading a small team, Experience growing engineers, Experience with air-gapped deployment, Experience with disconnected deployment, Experience with constrained deployment, Familiarity with tactical edge C2, Familiarity with TAK, Familiarity with CoT, Familiarity with ground operator workflows, Experience working with embedded contractor engineers, Experience working with FFRDC partners, Experience working with customer-funded staff augmentation, Experience supporting international defense customer programs, Experience owning customer-facing technical relationships, Experience owning partner-facing technical relationships, Track record of cross-team improvements, Familiarity with autonomy stacks, Familiarity with motion planning, Familiarity with vehicle-control integration, Competence in avionics bring-up, Competence in payload computer integration, Competence in hardware-in-the-loop debugging, Experience with container orchestration, Experience with k3s, Experience with k3d, Experience with Docker, Proficiency in developing automation tools, Build-system experience, Experience with Conan, Experience with CMake, CI/CD pipeline familiarity, Interfacing with DoD stakeholders, Experience with common message standards, Experience with open-systems standards, Experience with UCI, Experience with OMS, Experience with MOSA, Experience with WOSA", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Autonomous Pilot Integration team for launched effects builds autonomy solutions for small, often air- or ground-launched platforms that operate in multi-agent fleets and frequently in disconnected or air-gapped environments. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., track fusion), and the HivemindSDK to develop the autonomy software that runs on launched effects platforms, then integrate, validate, and field it on the real hardware — for U.S. and international defense customers. Our engineers write new autonomy code — such as mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy — and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise. In this role, you'll lead a team of autonomy engineers working on launched effects programs — owning their delivery, their growth, and the technical health of your area. A core part of the job is growing the team: hiring strong engineers, mentoring them through hard technical work, and shaping their career development. You'll stay technically active — close enough to the code and the integration work to make sound technical decisions, to be credible to your team, and to lead them through the design, development, and delivery of a major capability or program. You'll partner closely with the Autonomy Capabilities and Perception teams, feature crews, autopilot vendors (e.g., PX4, ArduPilot), C2 providers, and customer/contractor partners that staff and operate alongside our team. This portfolio runs at a fast cadence — frequent Capability Release milestones, multi-agent fleet operations, air-gapped deployments at scale, and demanding live exercises — and you'll set the pace for your team accordingly. Shield AI is committed to developing cutting-edge autonomy for unmanned platforms across every operating domain — air, maritime, space, and effects/expendables — in service of the U.S. Department of Defense and our international defense customers. Our Autonomous Pilot Integration engineers bridge the gap between R&D and deployment, ensuring autonomous systems function reliably and effectively wherever and whenever they're needed most. ## What you'll do Lead the Team — Manage a small-to-mid-sized engineering team (typically 3–8 engineers); own performance, growth, leveling, and delivery; run 1:1s, performance reviews, and team rituals. Grow the Team via Hiring — Drive hiring for your area: identify the skills you need, partner with recruiting, run interviews, set the bar, and personally close strong candidates. Grow Engineers Technically — Mentor engineers through hard problems; create stretch opportunities; give direct, actionable technical feedback; help engineers level up in both skill and impact. Develop & Field Autonomy — Develop & integrate autonomy software solutions onto launched effects platforms, including payload computer bring-up, autopilot integration (e.g., PX4, ArduPilot), multi-agent coordination, and fleet-scale deployment to disconnected or air-gapped environments — and lead a small team through the design, development, and delivery of a major capability or program. Technical Leadership — Lead a small feature crew or sub-program; set technical direction, break down work, unblock the team, and report progress to leadership and stakeholders. Collaboration Across Teams & Partners — Act as a primary technical interface with the Autonomy Capabilities team (motion planning, tactics), the Perception team, feature crews, autopilot vendors (e.g., PX4, ArduPilot), C2 providers, and customer/contractor partners (including embedded contractor engineers and U.S. or international government program offices); author and negotiate ICDs and interface contracts rather than just consume them. Design & Documentation — Drive design reviews, ICDs, and post-mortems for your area; push the team toward higher rigor and close process gaps that span teams. Pre-deployment Preparation — Own the build, configuration, and validation process for mission-ready systems and fleet-scale deployments (often 50–150+ units in disconnected environments); coordinate hardware/software compatibility, mission readiness, and Capability Release (CR) cadence with capability and feature teams. On-site Test & Mission Support — Travel to test sites and customer exercises to support live mission operations (flight tests, range exercises, multi-agent live events, customer demonstrations), including safety checks, system bring-up, and troubleshooting under time-critical constraints. Hardware/Software Debugging — Diagnose and resolve integration issues across complex autonomy stacks, payload computers, and embedded systems in lab and field environments — including memory, CPU, and timing profiling under operationally-representative loads. Mission Data & Debrief Support — Capture mission and test data, reproduce issues in simulation, and partner with autonomy capability owners to drive fixes back into the next build. Continuous Improvement — Build tools and processes to improve integration timelines, test/mission reliability, and team efficiency across deployment cycles. C2 Interoperability & Standards — Own the interface contracts with C2 providers and drive compliance against common message and open-systems standards (e.g., UCI, OMS, MOSA, WOSA, TAK/CoT). Travel Requirement – Members of this team typically travel around 20-30% of the year (to different office locations, customer sites, range exercises, and integration events). ## Required qualifications BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience Typically requires a minimum of 7 years of related experience with a Bachelor's degree; or 5 years and a Master's degree; or 4 years with a PhD; or equivalent work experience. 2+ years of direct people-management experience (running 1:1s, performance reviews, hiring decisions, growth planning). Demonstrated experience building or growing an engineering team — including interviewing, hiring, and onboarding new engineers. Track record of mentoring engineers and growing their technical skill and career trajectory. Demonstrated experience leading a small technical team or owning a major capability from design through field delivery. Experience authoring or negotiating interface contracts / ICDs with internal or external stakeholders. Direct experience with launched effects, loitering munitions, expendable autonomous systems, or comparable small unmanned platforms. Experience with multi-agent, swarm, or fleet-scale autonomy. Strong proficiency in C++, with experience developing or integrating real-time or latency-sensitive systems. Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics. Familiarity with middleware, pub-sub, or IPC frameworks used in autonomy or robotics systems (e.g., DDS, message buses). Hands-on experience supporting live exercises, customer demonstrations, or operational test events for launched effects or similar small unmanned systems. Experience with autonomy simulation environments for testing and validation. Strong problem-solving skills, with the ability to troubleshoot and optimize system performance across the full stack. Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment. Ability to obtain a SECRET clearance. ## Preferred qualifications Direct experience with PX4 and/or ArduPilot at the platform integration level. Experience using and developing on QGroundControl (QGC) or other Qt-based ground control stations. Proficiency in Python for scripting, automation, and analysis. Experience leading a feature crew, sub-program, or small team in an unmanned systems context. Experience growing engineers from mid-level into senior IC, or supporting promotion decisions through a leveling framework. Experience with air-gapped, disconnected, or otherwise constrained deployment of autonomous systems at fleet scale. Familiarity with tactical edge C2 (e.g., TAK, CoT) and ground operator workflows. Experience working with embedded contractor engineers, FFRDC partners, or customer-funded staff augmentation models. Experience supporting international defense customer programs (FMS or direct commercial sales). Experience owning customer- or partner-facing technical relationships (e.g., autopilot vendors, C2 providers, government program offices). Track record of cross-team improvements (process, rigor, documentation, or developer experience). Familiarity with autonomy stacks, motion planning, or vehicle-control integration. Competence in avionics bring-up, payload computer integration, or hardware-in-the-loop debugging. Experience with container orchestration (e.g., k3s, k3d, Docker) on embedded or payload compute. Proficiency in developing automation tools for system testing, logging, and data parsing. Build-system experience (e.g., Conan, CMake) and CI/CD pipeline familiarity. Comfortable interfacing with DoD stakeholders during field events or technical reviews. Experience with common message and open-systems standards such as UCI, OMS, MOSA, or WOSA. ## Additional Information #LI-ED1 #LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. ", "summaryDescription" : "Manager of Engineering - Autonomous Pilot Integration at Shield AI. Skills: Autonomous Pilot Integration, Autonomy software, Fleet operations, Embedded systems. Lead a team of autonomy engineers. Own team delivery", "postedDate" : "2026-06-11T02:51:57.365", "createdAt" : "2026-06-11T02:51:57.365", "lastUpdated" : "2026-06-14T23:34:46.986", "ingestTimestamp" : "2026-06-12T05:51:30.192", "mongoId" : "6a2a46ca74d8ee00a05d6e43", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 330000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Motion planning", "Tactics", "Track fusion", "Mission behaviors", "Platform control", "Multi-agent coordination", "Contingencies", "Executive autonomy", "Flight tests", "Range exercises", "Live events", "Customer demonstrations", "Memory profiling", "CPU profiling", "Timing profiling", "Simulation", "Message standards", "Open-systems standards", "Leadership", "Mentoring", "Autonomous Pilot Integration", "Autonomy software", "Fleet operations", "Embedded systems", "System design", "Technical direction", "Interface contracts", "Process gaps", "Mission readiness", 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"title" : "PhD on Autonomous Operations and Cognitive Processor Implementation for Space Systems (d/f/m)", "company" : "Airbus Defence and Space GmbH", "industry" : "Aerospace", "salary" : { "min" : 65000.0, "max" : 85000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a PhD student in Aerospace in Friedrichshafen, Germany, adjusted for full-time employment and executive seniority level." }, "location" : "Germany", "locations" : [ "Germany" ], "timestamp" : "2026-06-12T07:34:15.447", "fingerprint" : "20324423da22f4faec5a0764a8fe6d3b181b9a0b4182a71bd83f4c46fa95d7dc", "source" : "workday", "language" : "en", "applyUrl" : "https://ag.wd3.myworkdayjobs.com/Airbus/job/Immenstaad-am-Bodensee/PhD-on-Autonomous-Operations-and-Cognitive-Processor-Implementation-for-Space-Systems--d-f-m-_JR10418550", "externalId" : "JR10418550", "industryFunction" : { }, "locationPoint" : "51.1657,10.4515", "structuredLocations" : [ { "city" : "Friedrichshafen", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "47.6500279,9.4800858" } ], "locationText" : "Friedrichshafen, Germany", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "experienceLevel" : "Student", "technicalSkills" : "C++, Python, MATLAB, Simulink, Embedded Linux, RTOS, SoC, FPGA, VHDL, Verilog, MIPI, LVDS, GigE Vision", "professionalSkills" : [ "Spacecraft autonomy", "Real-time systems", "Hardware implementation", "Academic research", "Applied engineering" ], "hardSkillsList" : [ "Hardware description languages", "Hardware transmission protocols", "Robotic control", "Autonomous operations" ], "hardSkills" : [ { "name" : "Hardware description languages", "level" : "intermediate" }, { "name" : "Hardware transmission protocols", "level" : "intermediate" }, { "name" : "Robotic control", "level" : "intermediate" }, { "name" : "Autonomous operations", "level" : "intermediate" } ], "majorSkills" : "Autonomous Operations, Cognitive Processor, Space Systems, Embedded Systems", "majorSkillsList" : [ "Autonomous Operations", "Cognitive Processor", "Space Systems", "Embedded Systems" ], "coreResponsibilities" : "Define novel architectures for autonomous operations, Research novel architectures for autonomous operations, Define novel methodologies for autonomous operations, Research novel methodologies for autonomous operations, Define novel GNC functions, Research novel GNC functions, Set up Cognitive Processor, Configure Cognitive Processor, Manage hardware transmission protocols, Interface with physical sensors, Interface with simulation PCs, Implement Real-Time Operating System, Configure Real-Time Operating System, Maintain Real-Time Operating System, Support integration of C++ code, Support optimization of C++ code, Support deployment of C++ code, Participate in FlatSat test campaigns, Participate in Hardware-in-the-Loop test campaigns, Integrate processor with robotic facilities, Validate closed-loop autonomous behaviors, Document findings, Document results, Drive publications", "teamCollaboration" : "Weekly team meetings; International environment", "domainKnowledge" : "Space systems; Conjunction analysis; Collision avoidance; Spacecraft autonomy; Real-time embedded systems; Navigation & Guidance; GNC functions; Edge processor", "domainList" : [ "space-systems", "conjunction-analysis", "collision-avoidance", "spacecraft-autonomy", "real-time-embedded-systems", "navigation-guidance", "gnc-functions", "edge-processor" ], "domainSpecificKnowledge" : [ "Space systems", "Conjunction analysis", "Collision avoidance", "Spacecraft autonomy", "Real-time embedded systems", "Navigation & Guidance", "GNC functions", "Edge processor" ], "toolProficiency" : [ "PetaLinux" ], "documentationSkills" : "Documentation", "innovationCreativity" : "Advanced research", "problemSolvingSkills" : "Technical implementation challenges", "qualificationsBasic" : "Master’s degree eligible for PhD, Embedded Linux experience, Real-Time Operating Systems (RTOS) experience, C++ programming skills", "qualificationsPreferred" : "Python familiarity, MATLAB/Simulink familiarity, Robotics practical experience, Hardware integration practical experience, Hardware-in-the-Loop (HIL) testing practical experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "****Job Description:**** In order to support the advancement in the field of conjunction analysis and collision avoidance of space assets, Airbus Defence and Space is looking for a # **PhD on Autonomous Operations and Cognitive Processor Implementation for Space Systems (d/f/m)** Are you looking for a PhD opportunity and want to gain deep hands-on experience in spacecraft autonomy, real-time embedded systems, and Hardware-in-the-Loop (HIL) robotics? Then apply now! We look forward to you supporting us in the department of Functional Architecture and Validation as a PhD candidate. * Location: _Friedrichshafen_ * Start: _01.09.2026_ * Duration: _3 years_ **Your location** At the Airbus site in Friedrichshafen you will be working on innovation where others spend their holidays. Enjoy panoramic views of Lake Constance while having lunch in our canteen. And after work, join one of our many corporate sports groups to go running, sailing or skiing. **Your benefits** * Attractive salary and work-life balance with an 35-hour week (flexitime). * International environment with the opportunity to network globally. * Work with modern/diversified technologies. * At Airbus, we see you as a valuable team member and you are not hired to brew coffee, instead you are in close contact with the interfaces and are part of our weekly team meetings. * Opportunity to participate in the Generation Airbus Community to expand your own network. **Your tasks and responsibilities** This PhD project will be carried out as part of our advanced research activities exploring the application of Artificial Intelligence and autonomous Navigation & Guidance in space-borne systems. The project bridges the gap between software simulation and physical reality by deploying advanced algorithms onto a space-representative Cognitive Processor (System-on-Chip/FPGA). As a PhD candidate, your work will be uniquely split between applied engineering and academic research. You will be responsible for the core technical implementation of the processing hardware, establishing complex real-time interfaces with physical sensors and robotic testbeds, while simultaneously driving the research definition of autonomous operations and higher-level functions executed on the edge processor. In your role as PhD candidate you will be responsible of the following tasks * **Research & Definition**: Define and research novel architectures and methodologies for autonomous operations and higher-level GNC (Guidance, Navigation, and Control) functions on embedded space hardware. * **Hardware Implementation** : Set up and configure the Cognitive Processor (SoC/FPGA), establishing and managing hardware transmission protocols (e.g., MIPI CSI-2, LVDS, GigE Vision) to interface with physical sensors (RGB cameras, LiDAR) and simulation PCs. * **Real-Time Systems** : Implement, configure, and maintain a Real-Time Operating System (RTOS) environment (e.g., embedded Linux / PetaLinux with PREEMPT_RT) to guarantee strict timing deadlines for closed-loop robotic control. * **Software Deployment** : Support the integration, optimization, and deployment of external C++ GNC and AI code provided by project partners onto the target processing board. * **Robotic Integration** : Actively participate in FlatSat and Hardware-in-the-Loop (HIL) test campaigns, integrating the processor with physical robotic facilities (e.g., cable-driven robots) to validate closed-loop autonomous behaviors. * **Academic Contribution** : Document findings and results comprehensively, driving publications in high-ranking conferences and scientific journals over the 3-year period. **Desired skills and qualifications** * Completed Master’s degree (and eligible for PhD enrollment) in Aerospace Engineering, Computer Science, Embedded Systems, Electrical Engineering, Robotics, or a related field. * Strong hands-on background in **Embedded Linux** and Real-Time Operating Systems (RTOS). * Experience with **SoC/FPGA architectures** and hardware description languages (VHDL/Verilog). * Knowledge of high-speed hardware transmission protocols (particularly MIPI and LVDS). * Solid programming skills in **C ++** for embedded systems; familiarity with Python or MATLAB/Simulink is a plus. * Practical experience with robotics, hardware integration, or Hardware-in-the-Loop (HIL) testing environments. * A strong drive to tackle both low-level technical implementation challenges and high-level academic research. * Ability to work independently and collaboratively in a dynamic, research-oriented environment. Please upload the following documents: cover letter, CV, relevant transcripts, masters’ degree certificate. Not a 100% match? No worries! Airbus supports your personal growth. Take your career to a new level and apply [_online_](https://www.airbus.com/en/careers) now! This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth. ********Company:******** Airbus Defence and Space GmbH **Employment Type:** PHD, Research \\------- **Experience Level:** Student **Job Family:** Support to Management By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus. Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief. Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to [emsom@airbus.com](mailto:emsom@airbus.com). At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.", "summaryDescription" : "PhD on Autonomous Operations and Cognitive Processor Implementation for Space Systems (d/f/m) at Airbus Defence and Space GmbH. Skills: Autonomous Operations, Cognitive Processor, Space Systems, Embedded Systems. Define novel architectures for autonomous operations. Research novel architectures for autonomous operations", "postedDate" : "2026-06-11T12:49:49.381", "createdAt" : "2026-06-11T12:49:49.369", "lastUpdated" : "2026-06-12T07:34:15.447", "ingestTimestamp" : "2026-06-11T12:49:49.369", "mongoId" : "6a2a5e5474d8ee00a061c00b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://ag.wd3.myworkdayjobs.com/Airbus/job/Immenstaad-am-Bodensee/PhD-on-Autonomous-Operations-and-Cognitive-Processor-Implementation-for-Space-Systems--d-f-m-_JR10418550", "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Hardware description languages", "Hardware transmission protocols", "Robotic control", "Autonomous operations", "Autonomous Operations", "Cognitive Processor", "Space Systems", "Embedded Systems", "Spacecraft autonomy", "Real-time systems", "Hardware implementation", "Academic research", "Applied engineering", "Space systems", "Conjunction analysis", "Collision avoidance", "Real-time embedded systems", "Navigation & Guidance", "GNC functions", "Edge processor", "PetaLinux" ], "skillCount" : 21, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "_score" : 555.9127, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace" }, { "id" : "6a2c6b3b74d8ee00a0910d59", "title" : "Vehicle Safety Operator", "company" : "Wayve", "industry" : "Technology", "salary" : { "min" : 4500000.0, "max" : 6500000.0, "currency" : "JPY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level Vehicle Safety Operator in Yokohama, Japan, adjusted for the technology industry and company size." }, "location" : "Japan ", "locations" : [ "Japan" ], "timestamp" : "2026-06-15T13:48:46.634", "fingerprint" : "d8af6e978639e6419331b2189099f2536149952036f74245cd13ecf3de0c2fed", "source" : "greenhouse", "language" : "ja", "applyUrl" : "https://wayve.firststage.co/jobs?gh_jid=7988301002", "externalId" : "7988301002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Yokohama", "country" : "Japan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "35.4503381,139.6343802" }, { "city" : "Tokyo", "country" : "Japan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "35.6768601,139.7638947" } ], "locationText" : "Yokohama, Japan; Tokyo, Japan", "hardSkillsList" : [ "Operating vehicles", "Data collection", "Data validation" ], "softSkillsList" : [ "Reliable", "Calm", "Professional" ], "hardSkills" : [ { "name" : "Operating vehicles", "level" : "intermediate" }, { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Reliable" }, { "name" : "Calm" }, { "name" : "Professional" } ], "majorSkills" : "Autonomous driving systems, Vehicle operation, AI systems", "majorSkillsList" : [ "Autonomous driving systems", "Vehicle operation", "AI systems" ], "coreResponsibilities" : "Support autonomous vehicle testing, Monitor autonomous driving systems, Intervene when required, Provide operational feedback, Improve AI driving performance, Support data collection, Validate data, Maintain operational standards, Maintain safety standards, Report vehicle issues, Report testing issues, Report safety issues", "teamCollaboration" : "Working within a team", "domainKnowledge" : "Embodied AI technology; Automated driving systems; AI driving performance", "domainList" : [ "embodied-ai-technology", "automated-driving-systems", "ai-driving-performance" ], "domainSpecificKnowledge" : [ "Embodied AI technology", "Automated driving systems", "AI driving performance" ], "toolProficiency" : [ "Microsoft Office suite", "Google Suite", "Smartphones", "Tablets", "Wi-Fi", "Bluetooth" ], "communicationSkills" : "Communication skills", "specialRequirements" : "Work weekends, Work 40 hours per week, Work 7 days per week, Work mornings, Work evenings, Occasional travel support, Pre-employment drug testing, Ongoing drug testing, Alcohol testing", "qualificationsBasic" : "Full clean Japanese driving licence, 2 years driving experience, No blameworthy insurance claims, Proficient in Microsoft Office suite, Comfortable using smartphones, Connecting to Wi-Fi, Using Basic Apps, Troubleshooting Basic Issues", "qualificationsPreferred" : "Advanced driving background, Familiarity with driving across Japan", "workSiteFlexibility" : "Onsite", "rawDescription" : "About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The role If you’re passionate about driving, technology, and the future of mobility, this role offers a rare opportunity to work at the forefront of autonomous driving development. As a Vehicle Safety Operator, you will support the development of next-generation AI driving systems by operating Wayve vehicles on public roads, evaluating vehicle behaviour, and providing operational feedback to engineering teams. You will act as a critical bridge between real-world driving conditions and the engineers developing Wayve’s AI systems. Key responsibilities: Support real-world autonomous vehicle testing operations across Japan. Safely monitor autonomous driving systems during on-road testing and intervene whenever required. Provide structured operational feedback to engineers and research teams to help improve AI driving performance. Support data collection and validation activities that contribute to the training and improvement of Wayve’s AI systems. Maintain high operational and safety standards while accurately reporting vehicle, testing, or safety-related issues. About you We’re looking for individuals who are safety-conscious, operationally disciplined, curious about technology, and comfortable working in a fast-moving environment. Essential: Full clean Japanese driving licence for a minimum of 2 years. Strong driving experience in Japan and confidence operating in complex urban environments. No blameworthy insurance claims in the past three years. Strong communication skills and ability to remain calm and professional under pressure. Happy to work alone and equally happy working within a team. Adaptable, reliable, and comfortable operating in evolving environments and processes. Proficient in Microsoft Office suite, or equivalent (Google Suite) Comfortable using smartphones, tablets, and standard workplace software tools. Connecting to Wi-Fi and Managing Settings: Knowing how to connect to Wi-Fi networks and manage settings like brightness, volume, and Bluetooth. Using Basic Apps: Proficiency in using basic apps like Safari for web browsing, Mail for email, Photos for managing pictures, and Calendar for scheduling. Troubleshooting Basic Issues: Handling common problems like app crashes, restarting the device, or resetting network settings. All applications are required to disclose any second job as part of the application process. All applicants will be subject to a health check before/after Employment is contingent upon passing training, pre-employment checks and ongoing drug/alcohol testing, in accordance with our policy. This role includes pre-employment and ongoing drug/alcohol testing in accordance with company policy. Desirable: You have an advanced driving background (ADI, Emergency Response Advanced Driver, or similar driving qualifications) Strong familiarity with driving across urban and highway environments in Japan. Operations run 7 days per week, including mornings, evenings, weekends, and occasional travel support. Shift schedules are provided at least 4 weeks in advance wherever possible. Shift Pattern - Rota issued at least 4 weeks in advance. Monday to Sunday - 40 hours per week/weekend (must be able to work weekends) 06:30-15:30 14:30-23:30 Vehicle Safety Operators are expected to primarily work from one of our operational sites in Yokohama or Tokyo. To support operations, Vehicle Safety Operators are also expected to travel but every effort is made to provide as much notice as possible. Please carefully consider your commute options to ensure that you are comfortable with the travel distance and can consistently arrive on time. If you’re excited by autonomous driving, real-world technology, and helping shape the future of mobility, we’d love to hear from you. #LI-KM1 Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve For US candidates only, please visit E-Verify Notice and Participation and Right to Work DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.", "summaryDescription" : "Vehicle Safety Operator at Wayve. Skills: Autonomous driving systems, Vehicle operation, AI systems. Support autonomous vehicle testing. Monitor autonomous driving systems", "postedDate" : "2026-06-14T07:59:33.736", "createdAt" : "2026-06-14T07:59:33.736", "lastUpdated" : "2026-06-15T13:48:46.634", "ingestTimestamp" : "2026-06-14T07:59:33.736", "mongoId" : "6a2c6b3b74d8ee00a0910d59", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Operating vehicles", "Data collection", "Data validation", "Reliable", "Calm", "Professional", "Autonomous driving systems", "Vehicle operation", "AI systems", "Embodied AI technology", "Automated driving systems", "AI driving performance", "Microsoft Office suite", "Google Suite", "Smartphones", "Tablets", "Wi-Fi", "Bluetooth" ], "skillCount" : 18, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 555.52167, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c795574d8ee00a0941421", "title" : "Manager of Engineering - Autonomous Pilot Integration - Expeditionary", "company" : "Shield AI", "industry" : "Flight System Integration", "salary" : { "min" : 220000.0, "max" : 330000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "United States", "locations" : [ "United States", "Dallas, Texas", "Washington, DC" ], "timestamp" : "2026-06-16T01:22:34.397", "fingerprint" : "bdbd59b9fb4f10a6870a6a8d0a13e0f1db0be2686140e88489c3f88630890eb3", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/shieldai/41100943-59b9-46d4-a180-682638f104c8/apply", "externalId" : "41100943-59b9-46d4-a180-682638f104c8", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "remoteFriendly" : false, "rawDescription" : "## Description Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Autonomous Pilot Integration team for expeditionary platforms builds autonomy solutions for V-BAT — an unmanned aircraft operating in expeditionary environments for ISR, target acquisition, communications, and multi-agent missions. The team also builds autonomy for X-BAT, a new platform under development by the aircraft team; for X-BAT, the team builds on top of the existing mission autonomy solution from the Strategic Systems (ACP) portfolio and works closely with the aircraft team on the flight-autonomy interface. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., ViDAR, ATR), and the HivemindSDK to develop the autonomy software that runs on these platforms, then integrate, validate, and field it on the real hardware — for U.S. and international defense customers. Our engineers write new autonomy code — such as mission behaviors, platform-specific control (including VTOL transitions), multi-agent coordination, contingencies, and executive autonomy — and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise. In this role, you'll lead a team of autonomy engineers focused primarily on Hivemind on V-BAT, with growing scope on Hivemind on X-BAT — owning their delivery, their growth, and the technical health of your area. A core part of the job is growing the team: hiring strong engineers, mentoring them through hard technical work, and shaping their career development. You'll stay technically active — writing code where it best serves the team, staying close to the integration work, making sound technical decisions, and leading them through the design, development, and delivery of a major capability or program. A defining part of this role is working in extreme partnership with the aircraft team that builds and maintains V-BAT and X-BAT — the relationship and tight coordination with them is critical to your team's success. You'll also partner closely with the Autonomy Capabilities, Perception, and GCS teams, feature crews, customer/program offices, the operator community that flies V-BAT today, and prospective customers for X-BAT as the new platform matures. This portfolio has a strong fielded-operator culture — long-endurance ISR missions, customer-driven workflow iteration, and demanding live exercises across multiple U.S. and international services — and you'll set the pace for your team accordingly. ## What you'll do Lead the Team — Manage a small-to-mid-sized engineering team (typically 5–10 engineers); own performance, growth, leveling, and delivery; run 1:1s, performance reviews, and team rituals. Grow the Team via Hiring — Drive hiring for your area: identify the skills you need, partner with recruiting, run interviews, set the bar, and personally close strong candidates. Grow Engineers Technically — Mentor engineers through hard problems; create stretch opportunities; give direct, actionable technical feedback; help engineers level up in both skill and impact. Aircraft Team Partnership — Maintain an exceptionally close, daily working relationship with the aircraft team that builds and maintains V-BAT — coordinating continuously on platform changes, autopilot interface evolution, sensor integration, hardware/software compatibility, and release planning. For X-BAT, work closely with the aircraft team to define and integrate the flight-autonomy interface. The success of this role depends heavily on these partnerships. Develop & Field Autonomy — Develop & integrate autonomy software solutions onto V-BAT, including payload and sensor integration (e.g., payload computer bring-up, ViDAR, EO/IR), integration with the custom V-BAT autopilot and its control modes (e.g., HSA, waypoint), multi-agent coordination, and customer release cadence — and lead a small team through the design, development, and delivery of a major capability or program. Technical Leadership — Lead a small feature crew or sub-program; set technical direction, break down work, unblock the team, and report progress to leadership and stakeholders. Hands-on Technical Contribution — Stay active in the code; contribute directly where it serves the team — prototyping new capabilities, taking on deep technical analysis of hard problems, or absorbing critical work during demo crunch. This is a manager role, not a managing-only role. Collaboration Across Teams & Partners — Act as a primary technical interface with the Autonomy Capabilities team (motion planning, tactics), the Perception team, the GCS team, feature crews, the Strategic Systems (ACP) portfolio (whose existing mission autonomy solution underpins X-BAT), and customer/program offices (U.S. and international services); author and negotiate ICDs and interface contracts rather than just consume them. Design & Documentation — Drive design reviews, ICDs, and post-mortems for your area; push the team toward higher rigor and close process gaps that span teams. Pre-deployment Preparation — Own the build, configuration, and validation process for mission-ready systems and customer releases; coordinate hardware/software compatibility, mission readiness, release cadence, and operator-facing workflow validation with capability and feature teams. On-site Test & Mission Support — Travel to test sites, customer exercises, and operator training/deployment events to support live mission operations (flight tests, range exercises, multi-agent live events, customer demonstrations, and fielded operator support), including safety checks, system bring-up, and troubleshooting under time-critical constraints. Hardware/Software Debugging — Diagnose and resolve integration issues across complex autonomy stacks, payload computers, and embedded systems in lab and field environments — including memory, CPU, and timing profiling under operationally-representative loads. Mission Data & Debrief Support — Capture mission and test data, reproduce issues in simulation, and partner with autonomy capability owners to drive fixes back into the next build. Continuous Improvement — Build tools and processes to improve integration timelines, test/mission reliability, and team efficiency across deployment cycles. C2 Interoperability & Standards — Own the interface contracts with GCS and C2 providers and drive compliance against common message and open-systems standards (e.g., STANAG 4586, UCI, OMS). Travel Requirement – Members of this team typically travel around 20-30% of the year (to different office locations, customer sites, operator training and deployment events, and integration events). ## Required qualifications BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience Typically requires a minimum of 7 years of related experience with a Bachelor's degree; or 5 years and a Master's degree; or 4 years with a PhD; or equivalent work experience. 2+ years of direct people-management experience (running 1:1s, performance reviews, hiring decisions, growth planning). Demonstrated experience building or growing an engineering team — including interviewing, hiring, and onboarding new engineers. Track record of mentoring engineers and growing their technical skill and career trajectory. Demonstrated experience leading a small technical team or owning a major capability from design through field delivery. Experience authoring or negotiating interface contracts / ICDs with internal or external stakeholders. Direct experience with Group 3 unmanned aircraft, VTOL platforms, or comparable medium-sized unmanned systems. Experience with multi-agent autonomy. Strong proficiency in C++, with experience developing or integrating real-time or latency-sensitive systems. Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics. Familiarity with middleware, pub-sub, or IPC frameworks used in autonomy or robotics systems (e.g., DDS, message buses). Hands-on experience supporting live exercises, customer demonstrations, or operational test events for medium unmanned aircraft or fielded autonomous systems. Experience with autonomy simulation environments for testing and validation. Strong problem-solving skills, with the ability to troubleshoot and optimize system performance across the full stack. Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment. Ability to obtain a SECRET clearance. ## Preferred qualifications Direct experience integrating autonomy with custom or in-house autopilot stacks at the platform integration level. Experience integrating autonomy with VTOL or hybrid-mode aircraft across multiple control interfaces (e.g., high-level state, waypoint). Experience with EO/IR or ViDAR-class sensor integration. Experience with long-endurance ISR mission profiles. Proficiency in Python for scripting, automation, and analysis. Experience leading a feature crew, sub-program, or small team in an unmanned systems context. Experience growing engineers from mid-level into senior IC, or supporting promotion decisions through a leveling framework. Experience deploying autonomy onto fielded, customer-operated platforms — including operator workflow iteration, release cadence, and customer feedback loops. Experience iterating directly with fielded military operators or training cadres. Experience supporting international defense customer programs (FMS or direct commercial sales). Experience owning customer- or partner-facing technical relationships (e.g., autopilot teams, GCS teams, government program offices). Track record of cross-team improvements (process, rigor, documentation, or developer experience). Familiarity with autonomy stacks, motion planning, or vehicle-control integration. Competence in avionics bring-up, payload computer integration, or hardware-in-the-loop debugging. Experience developing for or deploying onto ARM-based systems (e.g., embedded payload computers). Experience with containerization (e.g., Docker) on embedded or payload compute. Proficiency in developing automation tools for system testing, logging, and data parsing. Experience developing custom GCS or mission planning surfaces (e.g., TypeScript / web-based applications). Build-system experience (e.g., Conan, CMake) and CI/CD pipeline familiarity. Comfortable interfacing with DoD stakeholders during field events or technical reviews. Experience with common message and open-systems standards such as STANAG 4586, UCI, or OMS. ## Additional Information #LI-ED1 #LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. ", "summaryDescription" : "Manager of Engineering - Autonomous Pilot Integration - Expeditionary at Shield AI", "postedDate" : "2026-06-12T00:59:11.774", "createdAt" : "2026-06-12T00:59:11.774", "lastUpdated" : "2026-06-16T01:22:34.397", "ingestTimestamp" : "2026-06-14T21:30:53.851", "mongoId" : "6a2c795574d8ee00a0941421", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 330000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 554.9139, "daysOld" : 4, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6bcf74d8ee00a0914c6a", "title" : "Flight Test Operator", "company" : "Anduril Industries", "industry" : "Technology", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Flight Test Operator in Costa Mesa, United States, adjusted for the defense technology industry and company size." }, "location" : "Costa Mesa, California, United States", "locations" : [ "Costa Mesa", "California", "United States" ], "certifications" : [ "FAA part 107 certificate", "FAA Part 61 ground school completion" ], "timestamp" : "2026-06-15T07:56:14.140", "fingerprint" : "0afd8502e2466453104cb73ad9a93d3d169da67c17e3b556f0461c7f5c849254", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/andurilindustries/jobs/5131080007?gh_jid=5131080007", "externalId" : "5131080007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Costa Mesa", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.6633386,-117.9033170" } ], "locationText" : "Costa Mesa, California, United States", "technicalSkills" : "AI, Computer vision, Sensor fusion, Networking technology, Autonomy", "professionalSkills" : [ "Test planning", "Coordination", "Execution", "System development", "Acceptance testing", "Qualification testing", "Inventory management", "Equipment maintenance" ], "hardSkillsList" : [ "Flight test operations", "Autonomous aircraft building", "Autonomous aircraft programming", "Autonomous aircraft maintenance", "Product installation", "Test site support" ], "softSkillsList" : [ "Interpersonal skills", "Organizational collaboration" ], "hardSkills" : [ { "name" : "Flight test operations", "level" : "intermediate" }, { "name" : "Autonomous aircraft building", "level" : "intermediate" }, { "name" : "Autonomous aircraft programming", "level" : "intermediate" }, { "name" : "Autonomous aircraft maintenance", "level" : "intermediate" }, { "name" : "Product installation", "level" : "intermediate" }, { "name" : "Test site support", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Interpersonal skills" }, { "name" : "Organizational collaboration" } ], "majorSkills" : "Flight test operations, Autonomous aircraft, Test engineering support", "majorSkillsList" : [ "Flight test operations", "Autonomous aircraft", "Test engineering support" ], "coreResponsibilities" : "Assist with test, Assist with system checkouts, Fly aircraft, Provide feedback on Altius, Build autonomous aircraft, Program autonomous aircraft, Maintain autonomous aircraft, Work with Test Engineers, Support flight execution, Support material prep, Support test profiles, Participate in demonstrations, Assist with product installations, Assist Site Manager, Assist onsite team, Manage office supplies, Manage equipment maintenance", "teamCollaboration" : "Test team members; Cross-department Altius programs; Test Engineers; Onsite team", "domainKnowledge" : "National Airspace regulations; Fixed wing aircraft; Uncrewed aircraft; Defense technology", "domainList" : [ "national-airspace-regulations", "fixed-wing-aircraft", "uncrewed-aircraft", "defense-technology" ], "domainSpecificKnowledge" : [ "National Airspace regulations", "Fixed wing aircraft", "Uncrewed aircraft", "Defense technology" ], "communicationSkills" : "Interpersonal skills", "specialRequirements" : "Ability to travel, Ability to travel 60%, Work extended hours", "qualificationsBasic" : "RC, RPIC, or PIC experience, Fixed wing commercial/defense Group 2 aircraft, FAA part 107 certificate, FAA Part 61 ground school completion, National Airspace regulations knowledge, Small UAS maintenance experience", "qualificationsPreferred" : "LiPO/LiON battery handling experience, Bachelors degree in aerospace, electrical, software, or mechanical engineering, Developmental and operational test experience", "workSiteFlexibility" : "Onsite", "rawDescription" : "Anduril Industries is a defense technology company with a mission to transform U. S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. This position will be filled with a highly motivated Flight Test Operator with a passion for flying small uncrewed fixed wing aircraft in support of flight test operations. You will work heavily with test team members in a wide spectrum of cross-department Altius programs to help assist the team focused on solving hard problems and changing the industry forever. The role will be responsible for assisting program leads, planning, coordination, execution of flight test operations. The Test and Evaluation team at Anduril works across the entire spectrum of products and business lines, as well as all flight operations and test range management. Our team conducts full system level development testing, new production acceptance testing, sub-component qualification testing and much more. In short, if it involves test, we support it. If you are interested in working in an extremely innovative and fast paced environment, where your work directly makes an impact and difference in the products that are fielded this a fantastic opportunity. WHAT YOU’LL DO Assist with test, system checkouts, fly, and provide feedback on Altius for Test Engineering. Build, program, and maintain autonomous aircraft for flight. Work with Test Engineers on a variety of operational tasks that enable engineering, such as flight execution, material prep, or supporting test profiles by participating in our demonstrations. Assist with product installations at our test sites as needed Assist Site Manager and onsite team with maintenance, including managing office supplies, cleaning, inventory management and equipment maintenance Travel between test sites depending on testing requirements and team needs REQUIRED QUALIFICATIONS RC, RPIC, or Pilot-operator (PIC) experience on fixed wing commercial and/or defense Group 2 aircraft. Ability to get and maintain a FAA part 107 certificate, and FAA Part 61 ground school completion (as required) Ability to travel on an as needed basis. Familiarity with flight controllers and autopilot logic. Significant knowledge and understanding of National Airspace regulations and operating restrictions Must have strong communication and interpersonal skills Ability to own a variety of tasks in an autonomous environment Able to work extended hours as required Strong customer service and organizational collaboration mentality Small UAS maintenance experience. Willingness to travel approximately 60% of the time. PREFERRED QUALIFICATIONS LiPO/LiON battery handling experience Bachelors degree in aerospace, electrical, software, or mechanical engineering. Experience with developmental and operational test. US Salary Range $86,000—$114,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits. Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com. Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.", "summaryDescription" : "Flight Test Operator at Anduril Industries. Skills: Flight test operations, Autonomous aircraft, Test engineering support. Assist with test. Assist with system checkouts", "postedDate" : "2026-06-13T20:19:04.866", "createdAt" : "2026-06-13T20:19:04.866", "lastUpdated" : "2026-06-15T07:56:14.140", "ingestTimestamp" : "2026-06-13T20:19:04.866", "mongoId" : "6a2c6bcf74d8ee00a0914c6a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Flight test operations", "Autonomous aircraft building", "Autonomous aircraft programming", "Autonomous aircraft maintenance", "Product installation", "Test site support", "Interpersonal skills", "Organizational collaboration", "Autonomous aircraft", "Test engineering support", "Test planning", "Coordination", "Execution", "System development", "Acceptance testing", "Qualification testing", "Inventory management", "Equipment maintenance", "National Airspace regulations", "Fixed wing aircraft", "Uncrewed aircraft", "Defense technology", "FAA part 107 certificate", "FAA Part 61 ground school completion" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 550.4372, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Defense Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a15e45f58b93c861e7c6a4e", "title" : "CDL A SEMI LOCAL Driver", "company" : "Salt City Trucking", "industry" : "Logistics", "salary" : { "min" : 65000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for CDL A Semi Local Drivers in the United States, adjusted for entry-level seniority and the food & beverage industry." }, "location" : "American Falls, ID", "locations" : [ "American Falls", "ID" ], "timestamp" : "2026-06-15T23:02:53.835", "fingerprint" : "eaef4cc4862c9c79bd6d284be53c256f02845b395de62848fc86232d7a50de50", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://salt-city-trucking.breezy.hr/p/c7322d1c6c66-cdl-a-semi-local-driver-lamb-weston-account", "externalId" : "c7322d1c6c66", "industryFunction" : { }, "structuredLocations" : [ { "city" : "American Falls", "state" : "Idaho", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.7860227,-112.8544370" } ], "locationText" : "American Falls, Idaho, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "coreResponsibilities" : "Deliver to 4 states", "specialRequirements" : "5 days out, Weekends off, No touch freight", "outcomesObjectives" : "Lots of freight", "qualificationsBasic" : "3 months experience required", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "SEMI LOCAL driver position FOR LAMB WESTON FORJB HUNT gone 5 days out!! RESTS AT HOME 2 to 3 times a week as well! Weekends off ! DAYS !LOTS OF FRIEGHT !! NO TOUCH FRIEGHT! COMPETITIVE PAY on cent per mile! 3 MONTHS EXPERIENCED REQUIRED! Delivers to 4 different states! STEADY FREIGHT ! It is", "summaryDescription" : "CDL A SEMI LOCAL Driver at Salt City Trucking. Deliver to 4 states", "createdAt" : "2026-06-14T20:32:03.092", "lastUpdated" : "2026-06-15T23:02:53.835", "ingestTimestamp" : "2026-06-14T20:32:03.092", "mongoId" : "6a15e45f58b93c861e7c6a4e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "_score" : 533.10846, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a48e474d8ee00a05e2585", "title" : "Machine Learning Engineer II - Autonomous Driving & Inference Runtime", "company" : "May Mobility", "industry" : "Autonomous Driving", "salary" : { "min" : 180000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Anywhere, USA", "locations" : [ "Anywhere", "USA" ], "timestamp" : "2026-06-14T20:11:52.836", "fingerprint" : "cb24389fa2bab6222ba70c20ed7e6fdb80d49aab2da208f98bca7e08f126cc14", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/maymobility/jobs/8502419002", "externalId" : "8502419002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "CUDA, ONNX, PyTorch, TensorRT", "professionalSkills" : [ "Software architecture", "ML model optimization", "Edge deployment", "Latency budgets", "Throughput budgets" ], "hardSkillsList" : [ "GPU concurrency", "CPU concurrency", "Kernel fusion", "Memory optimization", "Quantization", "Distillation", "Pruning" ], "hardSkills" : [ { "name" : "GPU concurrency", "level" : "intermediate" }, { "name" : "CPU concurrency", "level" : "intermediate" }, { "name" : "Kernel fusion", "level" : "intermediate" }, { "name" : "Memory optimization", "level" : "intermediate" }, { "name" : "Quantization", "level" : "intermediate" }, { "name" : "Distillation", "level" : "intermediate" }, { "name" : "Pruning", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Inference Runtime, Autonomous Driving, Edge Computing", "majorSkillsList" : [ "Machine Learning", "Inference Runtime", "Autonomous Driving", "Edge Computing" ], "coreResponsibilities" : "Deploy ML model architectures, Optimize ML model architectures, Own model-compilation pipeline, Own deployment pipeline, Establish latency budgets, Defend latency budgets, Establish throughput budgets, Defend throughput budgets, Profile AV stack, Conduct regression tests, Conduct integrity tests", "domainKnowledge" : "Autonomous Driving; Robotics; Edge devices; NVIDIA compute architectures; NVIDIA DRIVEOS; SoCs", "domainList" : [ "autonomous-driving", "robotics", "edge-devices", "nvidia-compute-architectures", "nvidia-driveos", "socs" ], "domainSpecificKnowledge" : [ "Autonomous Driving", "Robotics", "Edge devices", "NVIDIA compute architectures", "NVIDIA DRIVEOS", "SoCs" ], "toolProficiency" : [ "TensorRT", "ONNX", "torch.compile", "Nsight", "Pytorch Profiler" ], "specialRequirements" : "Low travel (5-10%), Prolonged sitting, Prolonged standing, Prolonged computer use", "qualificationsBasic" : "Bachelor's or Master's degree, 2 years writing software, Proficiency in C/C++/CUDA/PyTorch, Experience in Linux environments, Familiarity with Perception concepts, Familiarity with Planning concepts", "qualificationsPreferred" : "Familiarity with NVIDIA compute architectures, Familiarity with common profiling tools, Understanding of Quantization techniques, Familiarity with NVIDIA DRIVEOS, Familiarity with scaling training throughput", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. Job Summary May Mobility is entering an exciting phase of growth as we expand our first-of-its-kind autonomous shuttle and mobility services across the nation. Launched in 2017 with a strong team of experienced roboticists and software engineers with decades of experience fielding robotic systems in the wild, May Mobility is looking to expand its team of robotics engineers with a background in robotics or autonomous vehicles. We are seeking ML-Oriented Software Engineers with experience in robotics applications. As part of our Autonomous Driving ML team, you will use your knowledge of Software and Hardware concepts to deploy, optimize and scale State of the Art Machine Learning models for both Datacenter and Edge Vehicle devices. Essential Responsibilities Deploy and Optimize Machine Learning model architectures across May’s Autonomous Driving training and inference stacks. Own the model-compilation and deployment pipeline end-to-end. Establish and defend latency/throughput budgets across the AV stack, including profiling, regression and integrity tests. Skills and Abilities Success in this role typically requires the following competencies: Architecting software for low-level GPU/CPU concurrency such as CUDA streams, pinned memory, kernel fusion and memory-layout optimization. Use of compilation and runtime utilities such as TensorRT, ONNX and torch.compile for edge deployments. Apply quantization, distillation, and pruning to fit models within onboard compute and memory budgets. Qualifications and Experience Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience: Required Bachelor’s or Master’s degree in Robotics, Computer Science, Computer Engineering, or a related field with strong mathematical and engineering foundations. A minimum of 2 years writing software to interface with GPU and ML systems. Proficiency in C/C++/CUDA/PyTorch and experience in Linux environments. Familiarity with basic Perception and Planning concepts in Autonomous Driving. Desirable Familiarity with NVIDIA compute architectures (Ada, Hopper, Blackwell, etc). Familiarity with common profiling tools such as Nsight, Pytorch Profiler, flamegraph. Understanding of Quantization (INT8/FP8/FP16) and other compression techniques. Familiarity with NVIDIA DRIVEOS architecture and SoCs (Orin/Thor). Familiarity with techniques for scaling training throughput (batching, FSDP, streaming dataloaders). Physical Requirements Standard office working conditions which includes but is not limited to: Prolonged sitting Prolonged standing Prolonged computer use Travel required? - Low 5-10% Benefits and Perks Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate. Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available. Rich retirement benefits, including an immediately vested employer safe harbor match. Generous paid parental leave as well as a phased return to work. Flexible vacation policy in addition to paid company holidays. Total Wellness Program providing numerous resources for overall wellbeing Don’t meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we’re committed to building a diverse, inclusive, and authentic workforce, so if you’re excited about this role but your previous experience doesn’t align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May. Want to learn more about our culture & benefits? Check out our website! May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know. Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners. Salary Range $180,000—$210,000 USD", "summaryDescription" : "Machine Learning Engineer II - Autonomous Driving & Inference Runtime at May Mobility. Skills: Machine Learning, Inference Runtime, Autonomous Driving, Edge Computing. Deploy ML model architectures. Optimize ML model architectures", "postedDate" : "2026-06-11T18:26:32.388", "createdAt" : "2026-06-11T18:26:32.388", "lastUpdated" : "2026-06-14T20:11:52.836", "ingestTimestamp" : "2026-06-11T18:26:32.388", "mongoId" : "6a2a48e474d8ee00a05e2585", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 180000, "salaryAnnualMax" : 210000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "GPU concurrency", "CPU concurrency", "Kernel fusion", "Memory optimization", "Quantization", "Distillation", "Pruning", "Machine Learning", "Inference Runtime", "Autonomous Driving", "Edge Computing", "Software architecture", "ML model optimization", "Edge deployment", "Latency budgets", "Throughput budgets", "Robotics", "Edge devices", "NVIDIA compute architectures", "NVIDIA DRIVEOS", "SoCs", "TensorRT", "ONNX", "torch.compile", "Nsight", "Pytorch Profiler" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "autonomy-engineering", "dataQualityScore" : 0.8888889, "_score" : 520.19574, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Autonomous Driving" }, { "id" : "6a2c795574d8ee00a0941420", "title" : "Manager of Engineering - Autonomous Pilot Integration - Emerging Domains", "company" : "Shield AI", "industry" : "Flight System Integration", "salary" : { "min" : 220000.0, "max" : 330000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "United States", "locations" : [ "United States", "San Diego, California", "Washington, DC", "Boston, MA" ], "timestamp" : "2026-06-16T05:57:57.230", "fingerprint" : "62ab2780c580fcf14380eff63b241836153e5ea536162e1ef5536459763aac21", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/shieldai/3cecec97-d846-4fe0-914a-4a266f333db9/apply", "externalId" : "3cecec97-d846-4fe0-914a-4a266f333db9", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "remoteFriendly" : false, "rawDescription" : "## Description Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. ## What you'll do Lead the Team — Manage an engineering team (typically 5–10 engineers spanning multiple emerging-domain efforts); own performance, growth, leveling, and delivery; run 1:1s, performance reviews, and team rituals. Grow the Team via Hiring — Drive hiring for your area: identify the skills you need, partner with recruiting, run interviews, set the bar, and personally close strong candidates. Grow Engineers Technically — Mentor engineers through hard problems; create stretch opportunities; give direct, actionable technical feedback; help engineers level up in both skill and impact. Stand Up New Programs — Stand up autonomy on new platforms and missions — often as the first autonomy engineering presence on the program. Define what the autonomy stack looks like, decide what to build versus what to leverage from existing Shield AI capabilities, and set the technical direction for the effort. Navigate Ambiguity & Shifting Priorities — Operate effectively in an environment where program shape, scope, and timeline often shift. Make sound technical and staffing decisions with incomplete information, communicate changes clearly to your team and stakeholders, and protect engineering velocity through churn. Develop & Field Autonomy — Develop & integrate autonomy software solutions onto emerging-domain platforms — satellites, USVs/UUVs, unmanned helicopters, and similar — including platform and autopilot integration, payload and sensor integration, mission behaviors, and validation across software-in-the-loop, hardware-in-the-loop, vehicle-in-the-loop, and live test events. Lead a small team through the design, development, and delivery of each effort. Technical Leadership — Lead a small feature crew or sub-program; set technical direction, break down work, unblock the team, and report progress to leadership and stakeholders. Hands-on Technical Contribution — Stay active in the code; contribute directly where it serves the team — prototyping new capabilities, taking on deep technical analysis of hard problems, or absorbing critical work during demo crunch. This is a manager role, not a managing-only role. Platform Team Partnerships — Build strong partnerships with each platform team that owns the underlying hardware (spacecraft, vessel, rotorcraft, or other autonomous system) — coordinating on platform changes, autopilot or control-interface evolution, sensor integration, and release planning. Relationships and tight coordination with these teams are critical for success on each new program. Collaboration Across Teams & Partners — Act as a primary technical interface with the Autonomy Capabilities, Perception, and GCS teams, feature crews, and customer/program offices (U.S. and international); author and negotiate ICDs and interface contracts rather than just consume them. Design & Documentation — Drive design reviews, ICDs, and post-mortems for your area; push the team toward higher rigor and close process gaps that span teams. Pre-deployment Preparation — Own the build, configuration, and validation process for mission-ready systems; coordinate hardware/software compatibility, mission readiness, and release cadence with capability and platform teams. On-site Test & Mission Support — Travel to test sites, customer exercises, and demonstrations to support live mission operations — flight tests, range exercises, on-water trials, satellite ground tests, and similar — including safety checks, system bring-up, and troubleshooting under time-critical constraints. Hardware/Software Debugging — Diagnose and resolve integration issues across complex autonomy stacks, payload computers, and embedded systems in lab and field environments — including memory, CPU, and timing profiling under operationally-representative loads. Mission Data & Debrief Support — Capture mission and test data, reproduce issues in simulation, and partner with autonomy capability owners to drive fixes back into the next build. Continuous Improvement — Build tools and processes to improve integration timelines, test/mission reliability, and team efficiency across deployment cycles. C2 Interoperability & Standards — Own the interface contracts with C2 providers and drive compliance against common message and open-systems standards relevant to each program (e.g., UCI, OMS, STANAG 4586 for aerial systems, and program-appropriate standards for maritime and space). Grow R&D into Programs — Work with leadership and customers to evolve successful short-term R&D efforts into larger, longer-term programs; help shape pursuit strategy and scope as programs mature. Travel Requirement – Members of this team typically travel around 20-30% of the year (to different office locations, customer sites, test events, and integration events). ## Required qualifications BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience Typically requires a minimum of 7 years of related experience with a Bachelor's degree; or 5 years and a Master's degree; or 4 years with a PhD; or equivalent work experience. 2+ years of direct people-management experience (running 1:1s, performance reviews, hiring decisions, growth planning). Demonstrated experience building or growing an engineering team — including interviewing, hiring, and onboarding new engineers. Track record of mentoring engineers and growing their technical skill and career trajectory. Demonstrated experience leading a small technical team or owning a major capability from design through field delivery. Demonstrated ability to thrive in ambiguity — standing up new efforts with incomplete requirements, making sound decisions with limited information, and adapting to shifting deadlines and priorities. Experience standing up autonomy on a new platform or for a new mission type (R&D, prototype, or early-stage integration efforts). Experience authoring or negotiating interface contracts / ICDs with internal or external stakeholders. Direct experience with autonomous unmanned systems — air, maritime (USV/UUV), space, ground, or rotorcraft. Strong proficiency in C++, with experience developing or integrating real-time or latency-sensitive systems. Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics. Familiarity with middleware, pub-sub, or IPC frameworks used in autonomy or robotics systems (e.g., DDS, message buses). Hands-on experience supporting demos, exercises, or field/mission tests for unmanned or autonomous systems. Experience with autonomy simulation environments for testing and validation. Strong problem-solving skills, with the ability to troubleshoot and optimize system performance across the full stack. Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment. Ability to obtain a SECRET clearance. ## Preferred qualifications Experience across multiple unmanned-system domains (e.g., air + maritime, air + space, or similar). Direct experience with autonomy for space platforms (satellites, missile defense), maritime systems (USV/UUV), or rotorcraft. Proficiency in Python for scripting, automation, and analysis. Experience leading a feature crew, sub-program, or small team in an unmanned systems context. Experience growing engineers from mid-level into senior IC, or supporting promotion decisions through a leveling framework. Experience taking R&D or prototype efforts into larger production or fielded programs. Experience integrating autonomy with custom or in-house autopilot/control stacks at the platform integration level. Experience with payload and sensor integration on novel platforms (e.g., EO/IR, ViDAR, maritime sensors, space payloads). Experience owning customer- or partner-facing technical relationships (e.g., platform vendors, C2 providers, government program offices). Track record of cross-team improvements (process, rigor, documentation, or developer experience). Familiarity with autonomy stacks, motion planning, or vehicle-control integration. Competence in avionics/payload-computer integration, hardware-in-the-loop debugging, or comparable bring-up on novel platforms. Experience developing for or deploying onto ARM-based systems (e.g., embedded payload computers). Experience with containerization (e.g., Docker) on embedded or payload compute. Proficiency in developing automation tools for system testing, logging, and data parsing. Build-system experience (e.g., Conan, CMake) and CI/CD pipeline familiarity. Comfortable interfacing with DoD stakeholders during field events or technical reviews. Experience supporting international defense customer programs (FMS or direct commercial sales). Experience with common message and open-systems standards such as UCI, OMS, STANAG 4586, or domain-equivalents for maritime and space. ## Additional Information Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. ", "summaryDescription" : "Manager of Engineering - Autonomous Pilot Integration - Emerging Domains at Shield AI", "postedDate" : "2026-06-12T01:02:50.317", "createdAt" : "2026-06-12T01:02:50.317", "lastUpdated" : "2026-06-16T05:57:57.230", "ingestTimestamp" : "2026-06-14T21:24:14.818", "mongoId" : "6a2c795574d8ee00a0941420", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 330000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 517.7679, "daysOld" : 4, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a48e474d8ee00a05e2589", "title" : "Machine Learning Engineer II - Autonomous Driving Performance Evaluation", "company" : "May Mobility", "industry" : "Autonomous Driving", "salary" : { "min" : 172000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Ann Arbor, Michigan, United States", "locations" : [ "Ann Arbor", "Michigan", "United States" ], "timestamp" : "2026-06-14T20:54:48.829", "fingerprint" : "4750003381d60d7852e5c0b143f7ba3d882c656d76a59743c5c925c9777419c2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/maymobility/jobs/8187068002", "externalId" : "8187068002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Ann Arbor", "state" : "Michigan", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.2813722,-83.7484616" } ], "locationText" : "Ann Arbor, Michigan, United States", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, NumPy, Pandas, Machine Learning, Perception, Planning, Go, C++", "professionalSkills" : [ "Quantitative metrics design", "Statistical analyses", "Model behavior translation", "Decision-grade signals", "Data-centric ML methods", "Model performance lifting" ], "hardSkillsList" : [ "Loss analysis", "Error mining", "Data balancing", "Data curation", "Hard-example mining", "Resampling", "Reweighting", "Curriculum adjustments", "Balance adjustments", "Long-tail analysis", "Regression detection", "Noisy-metric analysis", "Embedding-based retrieval", "Active learning", "Auto-labeling" ], "hardSkills" : [ { "name" : "Loss analysis", "level" : "intermediate" }, { "name" : "Error mining", "level" : "intermediate" }, { "name" : "Data balancing", "level" : "intermediate" }, { "name" : "Data curation", "level" : "intermediate" }, { "name" : "Hard-example mining", "level" : "intermediate" }, { "name" : "Resampling", "level" : "intermediate" }, { "name" : "Reweighting", "level" : "intermediate" }, { "name" : "Curriculum adjustments", "level" : "intermediate" }, { "name" : "Balance adjustments", "level" : "intermediate" }, { "name" : "Long-tail analysis", "level" : "intermediate" }, { "name" : "Regression detection", "level" : "intermediate" }, { "name" : "Noisy-metric analysis", "level" : "intermediate" }, { "name" : "Embedding-based retrieval", "level" : "intermediate" }, { "name" : "Active learning", "level" : "intermediate" }, { "name" : "Auto-labeling", "level" : "intermediate" } ], "majorSkills" : "ML Engineering, Autonomous Driving, Performance Evaluation, Metrics and evaluation", "majorSkillsList" : [ "ML Engineering", "Autonomous Driving", "Performance Evaluation", "Metrics and evaluation" ], "coreResponsibilities" : "Design ML metrics pipelines, Implement ML metrics pipelines, Own ML metrics pipelines, Design evaluation pipelines, Implement evaluation pipelines, Own evaluation pipelines, Design test suites, Implement test suites, Own test suites, Build regression suites, Maintain regression suites, Build hillclimbing suites, Maintain hillclimbing suites, Automate triage of regressions, Drive model improvement, Analyze loss, Mine errors, Balance data for training, Cure data for training, Balance data for evaluation, Cure data for evaluation", "teamCollaboration" : "Autonomous Driving ML team", "domainKnowledge" : "Autonomous vehicles; Robotics; Multi-Policy Decision Making; Machine Learning; Perception; Planning", "domainList" : [ "autonomous-vehicles", "robotics", "multi-policy-decision-making", "machine-learning", "perception", "planning" ], "domainSpecificKnowledge" : [ "Autonomous vehicles", "Robotics", "Multi-Policy Decision Making", "Machine Learning", "Perception", "Planning" ], "toolProficiency" : [ "MLflow", "Weights & Biases", "Plotly", "Grafana", "Streamlit" ], "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "Prolonged sitting, Prolonged standing, Prolonged computer use, 5-10% travel", "qualificationsBasic" : "Bachelor's or Master's degree, 2 years building evaluation systems, Python proficiency, Linux environments experience, Familiarity with ML concepts, Familiarity with Perception concepts, Familiarity with Planning concepts", "qualificationsPreferred" : "Proficiency in Go or C++, Familiarity with experiment tracking tooling, Familiarity with statistical methods, Familiarity with data mining at scale, Familiarity with visualization tools", "workSiteFlexibility" : "Onsite", "rawDescription" : "May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. Job Summary May Mobility is entering an exciting phase of growth as we expand our first-of-its-kind autonomous shuttle and mobility services across the nation. Launched in 2017 with a strong team of experienced roboticists and software engineers with decades of experience fielding robotic systems in the wild, May Mobility is looking to expand its team of robotics engineers with a background in robotics or autonomous vehicles. We are seeking ML-Oriented Software Engineers with experience in robotics applications. As part of our Autonomous Driving ML team, you will use ML Engineering concepts to measure, analyze and systematically improve the performance of May's Autonomous Driving stack through data, metrics, evaluation and test/hillclimbing suites. Essential Responsibilities Design, implement and own ML metrics and evaluation pipelines spanning offline model evaluation, simulation and on-road performance. Build and maintain test, regression and hillclimbing suites that gate model and stack releases, including automated triage of regressions to root cause. Drive model improvement through loss analysis, error mining, and data balancing/curation strategies for training and evaluation sets. Skills and Abilities Success in this role typically requires the following competencies: Designing quantitative metrics and statistical analyses that translate model behavior into actionable, decision-grade signals (significance, slicing, long-tail analysis). Building evaluation and analytics frameworks in production, including dataset slicing, result aggregation and dashboarding at scale. Applying data-centric ML methods such as hard-example mining, resampling/reweighting and curriculum or balance adjustments to lift model performance. Qualifications and Experience Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience: Required Bachelor's or Master's degree in Robotics, Computer Science, Statistics, or a related field with strong mathematical and engineering foundations. A minimum of 2 years building evaluation, metrics, or data analysis systems for ML in production. Proficiency in Python (NumPy/Pandas or equivalent dataframe tooling) with experience in Linux environments. Familiarity with basic concepts in Machine Learning (losses, train/eval splits, common failure modes) and basic Perception and Planning concepts in Autonomous Driving. Desirable Proficiency in Go or C++. Familiarity with experiment tracking and evaluation tooling such as MLflow, Weights & Biases, or in-house equivalents. Familiarity with statistical methods for A/B comparison, regression detection and noisy-metric analysis. Familiarity with data mining and curation at scale (embedding-based retrieval, active learning, auto-labeling). Familiarity with visualization and dashboarding tools (Plotly, Grafana, Streamlit or similar). Physical Requirements Standard office working conditions which includes but is not limited to: Prolonged sitting Prolonged standing Prolonged computer use Travel required? - Low 5-10% Benefits and Perks Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate. Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available. Rich retirement benefits, including an immediately vested employer safe harbor match. Generous paid parental leave as well as a phased return to work. Flexible vacation policy in addition to paid company holidays. Total Wellness Program providing numerous resources for overall wellbeing Don’t meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we’re committed to building a diverse, inclusive, and authentic workforce, so if you’re excited about this role but your previous experience doesn’t align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May. Want to learn more about our culture & benefits? Check out our website! May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know. Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners. Salary Range $172,000—$210,000 USD", "summaryDescription" : "Machine Learning Engineer II - Autonomous Driving Performance Evaluation at May Mobility. Skills: ML Engineering, Autonomous Driving, Performance Evaluation, Metrics and evaluation. Design ML metrics pipelines. Implement ML metrics pipelines", "postedDate" : "2026-06-11T19:04:42.459", "createdAt" : "2026-06-11T19:04:42.459", "lastUpdated" : "2026-06-14T20:54:48.829", "ingestTimestamp" : "2026-06-11T19:04:42.459", "mongoId" : "6a2a48e474d8ee00a05e2589", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 172000, "salaryAnnualMax" : 210000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Loss analysis", "Error mining", "Data balancing", "Data curation", "Hard-example mining", "Resampling", "Reweighting", "Curriculum adjustments", "Balance adjustments", "Long-tail analysis", "Regression detection", "Noisy-metric analysis", "Embedding-based retrieval", "Active learning", "Auto-labeling", "ML Engineering", "Autonomous Driving", "Performance Evaluation", "Metrics and evaluation", "Quantitative metrics design", "Statistical analyses", "Model behavior translation", "Decision-grade signals", "Data-centric ML methods", "Model performance lifting", "Autonomous vehicles", "Robotics", "Multi-Policy Decision Making", "Machine Learning", "Perception", "Planning", "MLflow", "Weights & Biases", "Plotly", "Grafana", "Streamlit" ], "skillCount" : 36, "jobCategory" : "engineering", "jobSubcategory" : "autonomy-engineering", "dataQualityScore" : 0.8888889, "_score" : 512.07056, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Autonomous Driving" }, { "id" : "6a2a926d74d8ee00a0690f31", "title" : "Truck Operations Specialist", "company" : "Aurora Innovation", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Truck Operations Specialist in Palmer, United States, adjusted for the technology industry and contract employment type." }, "location" : "DAL1", "locations" : [ "DAL1" ], "certifications" : [ "Interstate Class-A Commercial Driver’s License" ], "timestamp" : "2026-06-14T22:46:25.942", "fingerprint" : "2e5c21fd3daf0f82eb4000d3cd4148e88b3de3f48f1d9ede663041ba0730c55e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://aurora.tech/jobs/8578020002?gh_jid=8578020002", "externalId" : "8578020002", "structuredLocations" : [ { "city" : "Palmer", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.4312520,-96.6677700" }, { "city" : "Aledo", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.6979939,-97.6039938" }, { "city" : "El Paso", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "31.7601001,-106.4870476" }, { "city" : "Phoenix", "state" : "Arizona", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.4484367,-112.0741410" } ], "locationText" : "Palmer, Texas, United States; Aledo, Texas, United States; El Paso, Texas, United States; Phoenix, Arizona, United States", "employmentType" : "CONTRACT", "experienceMinYears" : 3, "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Driving trucks commercially", "Pilot autonomous trucks" ], "softSkillsList" : [ "Inquisitive attitude", "Problem solving", "Solving puzzles" ], "hardSkills" : [ { "name" : "Driving trucks commercially", "level" : "intermediate" }, { "name" : "Pilot autonomous trucks", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Inquisitive attitude" }, { "name" : "Problem solving" }, { "name" : "Solving puzzles" } ], "majorSkills" : "Truck operations, Autonomous vehicle testing, Data logging", "majorSkillsList" : [ "Truck operations", "Autonomous vehicle testing", "Data logging" ], "coreResponsibilities" : "Safely pilot autonomous semi trucks, Monitor the Aurora Driver, Log real time feedback, Deliver feedback to engineers, Escalate operational blockers, Suggest solutions, Collaborate cross-functionally, Drive progress on Aurora’s mission, Work on cross-functional projects, Maintain up to date knowledge, Understand daily software changes, Understand operational changes, Maintain active status, Verify access permissions, Achieve mandatory certifications, Sustain mandatory accreditations, Work toward quantitative goals, Work toward qualitative goals, Interact with the public", "teamCollaboration" : "Cross-functionally with teams", "domainKnowledge" : "Self-driving technology; Commercial trucking industry", "domainList" : [ "self-driving-technology", "commercial-trucking-industry" ], "domainSpecificKnowledge" : [ "Self-driving technology", "Commercial trucking industry" ], "toolProficiency" : [ "G-Suite" ], "communicationSkills" : "Written communication; Verbal communication", "problemSolvingSkills" : "Make strategic decisions proactively", "specialRequirements" : "Up to 50% travel, Available to work night shifts, Work rotating shifts, Work regular overtime, Work some weekends, 80% of shift time spent in vehicle, Pass DOT physical, Must pass drug testing", "outcomesObjectives" : "Impact all of Vehicle Operations; Impact Aurora", "qualificationsBasic" : "3 years of experience driving trucks commercially, Valid U. S. Driver’s License, Interstate Class-A Commercial Driver’s License, Pass Motor Vehicle Report (MVR) guidelines, At least 21 years of age, Pass DOT physical, Meet all DOT qualifications, Pass pre-employment drug testing, Pass post-incident drug testing, Pass randomized drug testing", "qualificationsPreferred" : "Truck driver trainer/instructor experience, Truck technician experience, Experience in operations, Experience in technology, Experience in customer service, Experience in automotive field, Experience working in a collaborative environment, Command line interface experience, Interest and aptitude for technology tools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Who we are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone. At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn. We’re searching for a Class A Driver based in the following locations: Palmer, TX, Aledo, TX, El Paso, TX, and Phoenix, AZ. You will help change the commercial trucking industry and play a key role in delivering data to engineers in an effort to continually improve our product. This is a 6 month assignment with potential to extend. We are currently hiring for multiple shifts pending location. Please be prepared to indicate your availability for the following schedules: AM Shift: Monday – Friday AM Shift: Thursday – Monday PM Shift: Monday – Friday PM Shift: Thursday – Monday In this role, you will Safely pilot autonomous semi trucks for on road and closed course testing in service of our development and commercial pilot operations Remain alert and attentive while monitoring the Aurora Driver during extended stretches of autonomy Log real time feedback regarding autonomy and platform performance during testing, to be delivered to engineers Escalate operational blockers with suggested solutions Collaborate cross-functionally with teams throughout Aurora to help drive progress on Aurora’s mission Demonstrate positive impact at Aurora by working on cross-functional projects as time permits Maintain up to date knowledge of how our self-driving technology works. Understand daily software and operational changes. Maintain active and current status within required partner applications. This includes ensuring up to date user accounts, profile information, and necessary access permissions are configured and regularly verified across all critical third-party vendor platforms. Achieve and sustain all mandatory certifications and accreditations as designated by management, compliance bodies, or critical partner agreements. Work toward quantitative and qualitative goals that impact all of Vehicle Operations and Aurora Interact with the public as an ambassador for Aurora Required Qualifications Minimum 3 years of experience driving trucks commercially Valid U. S. Driver’s License Interstate Class-A Commercial Driver's License Driving record must pass Motor Vehicle Report (MVR) guidelines Excellent communication skills, both written and verbal Ability to prioritize and make strategic decisions proactively Ability to travel as needed: (up to 50%) Available to work night shifts (second and/or third shift) Ability to work rotating shifts as needed Ability to work regular overtime and some weekends 80% of shift time spent in vehicle (vehicle as office) Must pass pre-employment, post-incident, and randomized drug testing in accordance with FMCSA requirements. Is at least 21 years of age Must pass DOT physical Meet all DOT qualifications Desired Qualifications Truck driver trainer/instructor experience Truck technician experience Inquisitive attitude, interested in problem solving and solving puzzles Experience in operations, technology, customer service, or automotive field. Experience working in a collaborative environment - team player Proficient in G-Suite Command line interface experience Interest and aptitude for technology tools - apps, gaming, adobe creative suite, etc. The base hourly wage range for this position is $31.00 - $38.50 per hour. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for benefits. #entrylevel #AM-3 Working at Aurora At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks. We believe in-person work increases collaboration, empathy and our ability to lead effectively. As a result, we operate in a hybrid work environment where Aurorans are in office at least 3 days per week. Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom. Our commitment to safety At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization’s long-term success by prioritizing working safely, no matter what. Our commitment to inclusion Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech. For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy.", "summaryDescription" : "Truck Operations Specialist at Aurora Innovation. Skills: Truck operations, Autonomous vehicle testing, Data logging. Safely pilot autonomous semi trucks. Monitor the Aurora Driver", "postedDate" : "2026-06-12T00:24:13.526", "createdAt" : "2026-06-12T00:24:13.526", "lastUpdated" : "2026-06-14T22:46:25.942", "ingestTimestamp" : "2026-06-12T00:24:13.526", "mongoId" : "6a2a926d74d8ee00a0690f31", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Driving trucks commercially", "Pilot autonomous trucks", "Inquisitive attitude", "Problem solving", "Solving puzzles", "Truck operations", "Autonomous vehicle testing", "Data logging", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Self-driving technology", "Commercial trucking industry", "Interstate Class-A Commercial Driver’s License", "G-Suite" ], "skillCount" : 19, "jobCategory" : "operations", "jobSubcategory" : "operations", "dataQualityScore" : 0.8888889, "_score" : 505.27078, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "69f519c94c40e2acd1eb1bbd", "title" : "Sr. Manager, Networking, Operations Network Engineering", "company" : "Amazon.com Services LLC", "industry" : "Systems, Quality, Security Engineering, Network Development, subsidiaries", "salary" : { "min" : 197900.0, "max" : 267700.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Nashville, Tennessee, USA", "locations" : [ "Nashville, Tennessee, USA" ], "timestamp" : "2026-06-15T05:20:29.635", "fingerprint" : "904b303d9475dd6ff7db865a641b859684d653325ec5c2122e40f5554e1ad821", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10409220/apply", "externalId" : "6dcbe0e2-c950-4346-bef7-707f0dca51c4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Nashville", "state" : "Tennessee", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.1622767,-86.7742984" } ], "locationText" : "Nashville, Tennessee, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Network architecture, Layer 2 design, Layer 3 design, EVPN, VXLAN, BGP, OSPF, Network security, Traffic engineering, AWS, VPC, Transit Gateway, Network Firewall, Direct Connect, Ansible, Python, CI/CD", "professionalSkills" : [ "Network transformation", "Vendor diversification", "Architecture consolidation", "OP planning", "Roadmap development", "Program management" ], "hardSkillsList" : [ "Network design", "Automation", "Configuration compliance", "Firmware management", "Self-healing automation" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Network design", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" }, { "name" : "Configuration compliance", "level" : "intermediate" }, { "name" : "Firmware management", "level" : "intermediate" }, { "name" : "Self-healing automation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Network architecture, Network engineering, Robotics, Autonomous delivery", "majorSkillsList" : [ "Network architecture", "Network engineering", "Robotics", "Autonomous delivery" ], "coreResponsibilities" : "Own Core Networking organization, Lead team building network architecture, Design network infrastructure, Own design of LAN infrastructure, Develop LAN infrastructure, Ensure operational excellence for LAN, Build self-sustaining teams, Evaluate designs, Challenge proposals, Make resource tradeoffs, Write effective narratives, Present to leadership, Manage program entitlements, Automate manual processes", "teamCollaboration" : "Multi-team engineering organization; Remote teams; International teams; VP-level leadership", "projectManagementSkills" : [ "Roadmap development" ], "domainKnowledge" : "Data center network architecture; Campus network architecture; Network operating system; Commodity hardware; Open standards; Cloud-native architecture; Robotics; Autonomous delivery; Fulfillment centers; Last-mile delivery", "domainList" : [ "data-center-network-architecture", "campus-network-architecture", "network-operating-system", "commodity-hardware", "open-standards", "cloud-native-architecture", "robotics", "autonomous-delivery", "fulfillment-centers", "last-mile-delivery" ], "domainSpecificKnowledge" : [ "Data center network architecture", "Campus network architecture", "Network operating system", "Commodity hardware", "Open standards", "Cloud-native architecture", "Robotics", "Autonomous delivery", "Fulfillment centers", "Last-mile delivery" ], "toolProficiency" : [ "Ansible", "Python", "CI/CD" ], "communicationSkills" : "Write narratives; Presentations", "documentationSkills" : "Write PR/FAQ; Write six-pager", "innovationCreativity" : "Robotics innovation; Autonomous delivery innovation; Fulfillment innovation", "problemSolvingSkills" : "Technical judgment", "outcomesObjectives" : "Unified network architecture; Reduce vendor dependency; Reduce total cost; Eliminate downtime risk; Enable horizontal scaling", "qualificationsBasic" : "10+ years network experience, 5+ years engineering management, Bachelor's degree CS/CE/EE, Data center capacity planning, Network capacity planning, Network infrastructure project management", "qualificationsPreferred" : "Master's degree or above, Open networking experience, Commodity switch platforms experience, Network automation frameworks experience, Manage vendor relationships experience, AWS networking services experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon's Operations Engineering Networking (ONE) org is looking for a Senior Network Development Manager to lead the team building a unified network architecture that powers everything from neighborhood grocery stores to the most advanced robotics fulfillment centers on the planet. You'll own the Core Networking organization and the engineers enabling Amazon's next generation of robotics, autonomous delivery, and fulfillment innovation — designing the network infrastructure these technologies rely on to operate at global scale. This is a rare opportunity to build from the ground up. We're creating a single, flexible network platform — vendor-agnostic, cost-optimized, and built on open standards with Amazon's own network operating system — that gives Amazon the freedom to deploy any technology, in any building, in any country, on our terms. You'll lead the team that makes that real. ONE powers Amazon's Operations and Grocery businesses through a global network infrastructure that enables mission-critical connectivity for fulfillment, robotics, and last-mile delivery. As the Senior NDM for Core Networking, you will own the design, development, and operational excellence of the LAN infrastructure that connects every device in every Amazon fulfillment center to the network. Key job responsibilities What you'll own: - A multi-team engineering organization spanning Core Network Engineering, Software Defined Network Infrastructure, Core Deployment, and Amazon Robotic Workcells - A unified network architecture optimized for cost, performance, availability and scale - Amazon's in-house network operating system built on commodity hardware, reducing vendor dependency and total cost of ownership - Security modernization — migrating sites from on-premise hardware firewalls to AWS Network Firewalls, eliminating operational downtime risk and enabling horizontal scaling - Hardware qualification and lifecycle — certifying next-generation switch platforms as replacements for end-of-support hardware - Operational excellence for LAN infrastructure — configuration compliance, firmware management, and self-healing automation What we're looking for: - A leader of leaders who builds self-sustaining teams. Your teams are better for your presence but don't need you to be successful. - Deep understanding of data center and campus network architecture — Layer 2/3 design, EVPN/VXLAN, BGP, OSPF, network security, and traffic engineering - Experience managing 30+ engineers across multiple sub-teams, including remote and international teams - Track record of driving large-scale network transformations — stack migrations, vendor diversification, or architecture consolidation - Strong technical judgment to evaluate designs, challenge proposals, and make resource-vs-risk-vs-sustainability tradeoffs with future architecture in mind - Ability to write effective narratives (PR/FAQ, six-pager) and present to VP-level leadership - Experience with OP planning, roadmap development, and managing large program entitlements - Bias for automation and operational excellence — you measure everything and you don't accept manual processes that should be automated A day in the life Amazon offers a full range of benefits for you and eligible family members, including domestic partners. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! Basic Qualifications: - 10+ years of network, system, or software architecture experience - 5+ years of engineering team management experience - Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent work experience - Experience in one or more of the following areas: data center or network capacity planning, data center or network infrastructure program/project management, or related technical fields Preferred Qualifications: - Master's degree or above in an advanced technical program - - Experience with open networking or commodity switch platforms - - Experience with network automation frameworks (Ansible, Python, CI/CD for network infrastructure) - - Experience managing vendor relationships (Juniper, Cisco, Arista, or ODM/OEM partners) - - Experience with AWS networking services (VPC, Transit Gateway, Network Firewall, Direct Connect) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, TN, Nashville - 197,900.00 - 267,700.00 USD annually USA, TX, Austin - 208,300.00 - 281,800.00 USD annually USA, WA, Bellevue - 208,300.00 - 281,800.00 USD annually", "summaryDescription" : "Sr. Manager, Networking, Operations Network Engineering at Amazon.com Services LLC. Skills: Network architecture, Network engineering, Robotics, Autonomous delivery. Own Core Networking organization. Lead team building network architecture", "postedDate" : "2026-06-13T13:16:42.327", "createdAt" : "2026-06-13T13:16:42.327", "lastUpdated" : "2026-06-15T05:20:29.635", "ingestTimestamp" : "2026-06-13T13:16:42.327", "mongoId" : "69f519c94c40e2acd1eb1bbd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10409220/apply", "salaryAnnualMin" : 197900, "salaryAnnualMax" : 267700, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Network design", "Automation", "Configuration compliance", "Firmware management", "Self-healing automation", "Leadership", "Network architecture", "Network engineering", "Robotics", "Autonomous delivery", "Network transformation", "Vendor diversification", "Architecture consolidation", "OP planning", "Roadmap development", "Program management", "Data center network architecture", "Campus network architecture", "Network operating system", "Commodity hardware", "Open standards", "Cloud-native architecture", "Fulfillment centers", "Last-mile delivery", "Ansible", "Python", "CI/CD" ], "skillCount" : 27, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 500.4954, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a220dde74d8ee00a0d6f329", "title" : "CDL A Semi-Local Driving Position", "company" : "4th Day Trucking", "industry" : "Logistics", "salary" : { "min" : 65000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior CDL A Semi-Local Truck Driver in Edgewood, United States, with 3+ years of experience, adjusted for industry and company size." }, "location" : "Edgewood, MD", "locations" : [ "Edgewood", "MD" ], "certifications" : [ "CDL A" ], "timestamp" : "2026-06-16T04:29:56.745", "fingerprint" : "db756768fc79499d44ec0ffcdb6723ecf85cbc149388d73cee6259bc78bebd17", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://4th-day-trucking.breezy.hr/p/d84e0775eb43-cdl-a-semi-local-driving-position", "externalId" : "d84e0775eb43", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Edgewood", "state" : "Maryland", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.4209299,-76.2901568" } ], "locationText" : "Edgewood, Maryland, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "coreResponsibilities" : "Make deliveries in PA, DE, NY, NJ, WV,", "specialRequirements" : "No Touch freight", "qualificationsBasic" : "3 months experience required", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Hiring Regional CDL A drivers for our semi-local Tractor-Trailer Position with full benefits. No Touch freight position. Home multiple times a week Drivers will make deliveries in PA, DE, NY, NJ, WV, VA, NC, and Washington DC. No deliveries into NYC or the burrows. 3 months experience required to a", "summaryDescription" : "CDL A Semi-Local Driving Position at 4th Day Trucking. Make deliveries in PA, DE, NY, NJ, WV,", "createdAt" : "2026-06-14T20:33:18.284", "lastUpdated" : "2026-06-16T04:29:56.745", "ingestTimestamp" : "2026-06-14T20:33:18.284", "mongoId" : "6a220dde74d8ee00a0d6f329", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "CDL A" ], "skillCount" : 1, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 498.52325, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c68e074d8ee00a09051a1", "title" : "Robotic Software Engineer (Drone Stack)", "company" : "Applied Intuition", "industry" : "Government", "salary" : { "min" : 125000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Fort Walton Beach", "locations" : [ "Fort Walton Beach" ], "certifications" : [ "FAA Part 107 Remote Pilot Certificate", "U.S. SECRET clearance" ], "timestamp" : "2026-06-15T04:53:23.919", "fingerprint" : "c95379ac4091d066484dfc6018bac5d9ea757fc9c56d5757e6b8984d9aa1875a", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/applied/3a79b874-e530-4e58-a55a-fa2364c42663/application", "externalId" : "3a79b874-e530-4e58-a55a-fa2364c42663", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Fort Walton Beach", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.4057552,-86.6188420" } ], "locationText" : "Fort Walton Beach, Florida, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "C++, Linux, Docker, Git, ROS, ArduPilot, PX4, UART, RS232, RS422, RS485, SPI, QSPI, I2C, Ethernet, Bash, CMake, Nvidia Jetson, Raspberry Pi", "professionalSkills" : [ "System design", "Code integration", "Project delivery" ], "hardSkillsList" : [ "Robotics integration", "Autonomy algorithms", "Embedded Linux", "Hardware integration", "Software integration", "Data collection", "Troubleshooting integration", "Troubleshooting software", "System setup", "System testing", "System validation", "Software-in-the-loop", "Hardware-in-the-loop", "Service-oriented-architecture", "Inter-process messaging" ], "hardSkills" : [ { "name" : "Robotics integration", "level" : "intermediate" }, { "name" : "Autonomy algorithms", "level" : "intermediate" }, { "name" : "Embedded Linux", "level" : "intermediate" }, { "name" : "Hardware integration", "level" : "intermediate" }, { "name" : "Software integration", "level" : "intermediate" }, { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Troubleshooting integration", "level" : "intermediate" }, { "name" : "Troubleshooting software", "level" : "intermediate" }, { "name" : "System setup", "level" : "intermediate" }, { "name" : "System testing", "level" : "intermediate" }, { "name" : "System validation", "level" : "intermediate" }, { "name" : "Software-in-the-loop", "level" : "intermediate" }, { "name" : "Hardware-in-the-loop", "level" : "intermediate" }, { "name" : "Service-oriented-architecture", "level" : "intermediate" }, { "name" : "Inter-process messaging", "level" : "intermediate" } ], "majorSkills" : "Robotics, Autonomy, Software integration, Hardware integration", "majorSkillsList" : [ "Robotics", "Autonomy", "Software integration", "Hardware integration" ], "coreResponsibilities" : "Design autonomy systems, Integrate autonomy systems, Design vehicle intelligence systems, Integrate vehicle intelligence systems, Integrate hardware onto platforms, Integrate software onto platforms, Deploy autonomy algorithms, Adapt autonomy capabilities, Develop autonomy capabilities, Integrate autonomy solutions, Deploy autonomy solutions, Interface with sensors, Collect data, Troubleshoot integration issues, Troubleshoot software issues, Integrate autonomy software, Support flight test, Collaborate with vendors, Integrate autonomy software onto OEM hardware, Conduct system setup, Conduct system testing, Conduct system validation, Implement service-oriented-architecture software, Implement inter-process messaging systems, Develop autonomy software, Integrate autonomy software", "teamCollaboration" : "Cross-functional teams; Autonomy engineers; 3rd party UAS vendors; DoD warfighter experts", "projectManagementSkills" : [ "Agile development practices" ], "domainKnowledge" : "Robotics; Physical AI; Autonomy; Embedded systems; Real-time systems; Edge computing; Safety-critical systems; Unmanned aerial vehicles; UAS hardware; Aircraft autopilots; Datalinks; PNT/GPS/INS; Ground control stations", "domainList" : [ "robotics", "physical-ai", "autonomy", "embedded-systems", "real-time-systems", "edge-computing", "safety-critical-systems", "unmanned-aerial-vehicles", "uas-hardware", "aircraft-autopilots", "datalinks", "pnt-gps-ins", "ground-control-stations" ], "domainSpecificKnowledge" : [ "Robotics", "Physical AI", "Autonomy", "Embedded systems", "Real-time systems", "Edge computing", "Safety-critical systems", "Unmanned aerial vehicles", "UAS hardware", "Aircraft autopilots", "Datalinks", "PNT/GPS/INS", "Ground control stations" ], "toolProficiency" : [ "Docker", "Git", "Visual Studio Code", "GitLab", "Pixhawk", "ArduPilot", "PX4", "Nvidia Jetson", "Raspberry Pi" ], "communicationSkills" : "Customer-oriented delivery", "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Willingness to travel, U.S. Citizen, Eligible for security clearance", "qualificationsBasic" : "BS or MS in Robotics, 3+ years robotic systems experience, C++ programming experience, Integrate Pixhawk autopilots, Integrate communication busses, Develop in Docker, Use Linux operating systems, Use git, Use Visual Studio Code, Use GitLab, Familiarity with real-time systems, Familiarity with edge computing, Familiarity with safety-critical systems, Familiarity with SIL, Familiarity with HIL, U.S. Citizen, Eligible for security clearance", "qualificationsPreferred" : "Modern C++ experience, Bash experience, CMake experience, FAA Part 107 Certificate, Agile development practices experience, CI/CD pipelines experience, COTS hardware integration experience, Active U.S. SECRET clearance", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT APPLIED INTUITION Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co http://applied.co. We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. ABOUT THE ROLE As a Robotic Software Engineer, you will design and integrate complex autonomy and vehicle intelligence systems spanning hardware and software domains. You will integrate hardware and software onto vehicle platforms and deploy autonomy algorithms in both SIL, HIL and live test environments. Computer networking, code integration, and a passion for robotics integration is a must. You will collaborate closely with cross-functional teams to deliver robust, scalable solutions for defense and commercial customers, providing seamless hardware-software integration, troubleshooting, and customer-facing demonstrations. AT APPLIED INTUITION YOU WILL: - Adapt and develop modular and agile autonomy capabilities across diverse defense problems - Integrate and deploy autonomy solutions onto embedded Linux and other hardware platforms, including interfacing with sensors and collecting data - Troubleshoot complex integration and software issues to ensure high reliability and performance - Integrate autonomy software into hardware in collaboration with autonomy engineers that supports full integration with aircraft autopilots, datalinks, sensors, PNT/GPS/INS, ground control stations, etc. - Support live flight test of autonomy software on group 1-5 unmanned aerial vehicles (UAVs) - Collaborate with 3rd party UAS vehicle vendors on the integration of Applied autonomy software onto OEM UAS hardware - Conduct system-level setup, testing, and validation, including software-in-the-loop and hardware-in-the-loop evaluations - Collaborate with autonomy engineers to implement service-oriented-architecture software and inter-process messaging systems for autonomous UASsCollaborate with DoD warfighter domain experts and 3rd party UAS vehicle vendors to develop and integrate autonomy software onto OEM hardware WHO WE’RE LOOKING FOR: - BS or MS in Robotics, Computer Science or related engineering field - 3+ years of hands-on experience working with robotic systems (hardware, software, and integration) - Experience with software programming languages: C++ preferred - Experience integrating autonomy/robotics products with Pixhawk autopilots (ArduPilot and/or PX4) - Experience integrating with communication busses & protocols: UART/RS232/RS422/RS485 , SPI/QSPI , I2C , Ethernet - Experience developing in Docker, containerized deployment environments, and using Linux-based operating systems (e.g., RHEL, Ubuntu) - Experience using git, Visual Studio Code, GitLab - Familiarity with real-time, edge computing, and safety-critical systems operating in software-in-the-loop (SIL), hardware-in-the-loop (HIL), test & operational environments - Excellent communication skills and customer-oriented project delivery mindset - Willingness to travel frequently for on-site integration and demonstrations (estimated 10–20%) - Must be a U.S. Citizen - Must be eligible to obtain and maintain a U.S. security clearance NICE TO HAVE: - Experience in modern C++ (2011, 2017, or 2020 standards), Bash, and CMake - FAA Part 107 Remote Pilot Certificate - Experience with Agile development practices and CI/CD pipelines - Prior work with COTS hardware integration such as Nvidia Jetson and Raspberry Pi - Active U.S. SECRET clearance preferred Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. Please reference the job posting subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $125,000 to $165,000 USD annually. Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.", "summaryDescription" : "Robotic Software Engineer (Drone Stack) at Applied Intuition. Skills: Robotics, Autonomy, Software integration, Hardware integration. Design autonomy systems. Integrate autonomy systems", "createdAt" : "2026-06-14T04:21:21.139", "lastUpdated" : "2026-06-15T04:53:23.919", "ingestTimestamp" : "2026-06-14T04:21:21.139", "mongoId" : "6a2c68e074d8ee00a09051a1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Robotics integration", "Autonomy algorithms", "Embedded Linux", "Hardware integration", "Software integration", "Data collection", "Troubleshooting integration", "Troubleshooting software", "System setup", "System testing", "System validation", "Software-in-the-loop", "Hardware-in-the-loop", "Service-oriented-architecture", "Inter-process messaging", "Robotics", "Autonomy", "System design", "Code integration", "Project delivery", "Agile development practices", "Physical AI", "Embedded systems", "Real-time systems", "Edge computing", "Safety-critical systems", "Unmanned aerial vehicles", "UAS hardware", "Aircraft autopilots", "Datalinks", "PNT/GPS/INS", "Ground control stations", "FAA Part 107 Remote Pilot Certificate", "U.S. SECRET clearance", "Docker", "Git", "Visual Studio Code", "GitLab", "Pixhawk", "ArduPilot", "PX4", "Nvidia Jetson", "Raspberry Pi" ], "skillCount" : 43, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 490.85272, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6bd374d8ee00a09150ef", "title" : "Senior Manager, Development Testing (Drones)", "company" : "Anduril Industries", "industry" : "Manufacturing", "salary" : { "min" : 215000.0, "max" : 305000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Manager in Defense Technology in Costa Mesa, USA, adjusted for seniority and company size." }, "location" : "Costa Mesa, California, United States", "locations" : [ "Costa Mesa", "California", "United States" ], "timestamp" : "2026-06-16T02:52:27.685", "fingerprint" : "f8ab1a5e7118e7a4633873532f9fdf93b75072ad02fa87d037b303d18f4b6954", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/andurilindustries/jobs/5163423007?gh_jid=5163423007", "externalId" : "5163423007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Costa Mesa", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.6633386,-117.9033170" } ], "locationText" : "Costa Mesa, California, United States", "experienceLevel" : "Manager", "technicalSkills" : "Python, Matlab, Labview", "professionalSkills" : [ "System validation", "Test automation", "Data analysis" ], "hardSkillsList" : [ "Structural testing", "Dynamic testing", "Environmental testing", "Test planning", "Resource allocation", "Risk capture", "Test documentation", "Test reports", "Test equipment design", "Test equipment fabrication", "Instrumentation", "Control components" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Structural testing", "level" : "intermediate" }, { "name" : "Dynamic testing", "level" : "intermediate" }, { "name" : "Environmental testing", "level" : "intermediate" }, { "name" : "Test planning", "level" : "intermediate" }, { "name" : "Resource allocation", "level" : "intermediate" }, { "name" : "Risk capture", "level" : "intermediate" }, { "name" : "Test documentation", "level" : "intermediate" }, { "name" : "Test reports", "level" : "intermediate" }, { "name" : "Test equipment design", "level" : "intermediate" }, { "name" : "Test equipment fabrication", "level" : "intermediate" }, { "name" : "Instrumentation", "level" : "intermediate" }, { "name" : "Control components", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Development testing, Drone platforms, Test strategy, Team leadership", "majorSkillsList" : [ "Development testing", "Drone platforms", "Test strategy", "Team leadership" ], "coreResponsibilities" : "Provide technical leadership, Provide strategic oversight, Plan structural testing, Plan dynamic testing, Plan environmental testing, Direct team, Empower team, Lead test campaigns, Define scope, Allocate resources, Approve test plans, Oversee test operations, Facilitate data review, Guide test equipment design, Guide test equipment fabrication, Plan testing projects, Schedule testing projects, Ensure resource allocation, Ensure risk capture, Conduct final review, Approve test documentation, Approve test reports, Provide technical guidance, Conduct performance evaluations, Implement improvement strategies, Manage team priorities, Manage resource allocation, Manage project assignments, Serve as point of contact, Build relationships with stakeholders, Ensure clear communication, Ensure successful project outcomes", "teamCollaboration" : "Internal engineering teams; Product teams; External stakeholders; Vendors; Partners; Regulatory bodies", "projectManagementSkills" : [ "Test planning", "Resource allocation", "Risk capture" ], "domainKnowledge" : "Aerospace; Defense; Airworthiness; Drone platforms; Drone subsystems; Autonomy; AI; Computer vision; Sensor fusion; Networking technology; Lattice OS; Military systems", "domainList" : [ "aerospace", "defense", "airworthiness", "drone-platforms", "drone-subsystems", "autonomy", "ai", "computer-vision", "sensor-fusion", "networking-technology", "lattice-os", "military-systems" ], "domainSpecificKnowledge" : [ "Aerospace", "Defense", "Airworthiness", "Drone platforms", "Drone subsystems", "Autonomy", "AI", "Computer vision", "Sensor fusion", "Networking technology", "Lattice OS", "Military systems" ], "toolProficiency" : [ "Siemens NX", "Teamcenter" ], "communicationSkills" : "Clear communication", "documentationSkills" : "Test documentation", "problemSolvingSkills" : "Risk mitigation", "qualificationsBasic" : "12+ years hardware development or test engineering, 5+ years leadership or management, Proven experience hiring, Proven experience mentoring, Proven experience developing teams, Fostering safety-first culture, Expertise in engineering first principles, Proficiency in one coding language, Experience guiding team members in tools, Familiarity with instrumentation, Familiarity with control components, Experience guiding team members in use, Experience guiding team members in troubleshooting, Familiarity with MIL-STD-810, Familiarity with SMC-S-016, Familiarity with NASA GEVS, Experience driving compliance, Experience driving best practices, BS, MS or PhD in engineering", "qualificationsPreferred" : "Deep understanding of drone architectures, Deep understanding of avionics, Deep understanding of flight control systems, Deep understanding of propulsion, Deep understanding of navigation, Deep understanding of communications, Deep understanding of payload integration, Experience managing budgets, Experience managing schedules, Experience managing resources, Experience strategically planning test programs, Experience managing test programs, Experience delivering test programs, Experience with 3D modeling software, Experience with PLM, Experience reviewing test fixture designs, Experience managing data", "workSiteFlexibility" : "Onsite", "rawDescription" : "Anduril Industries is a defense technology company with a mission to transform U. S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE JOB We are seeking a highly skilled and experienced Senior Manager, Development Testing (Drones) to lead all aspects of development test for Anduril’s drone programs. This critical leadership role encompasses managing personnel, projects, and advanced testing equipment to conduct comprehensive development, verification, and qualification testing of our drone platforms and subsystems. The Manager will be instrumental in defining testing strategies, ensuring compliance with aerospace and defense standards, mitigating risks, and upholding the highest standards of safety, reliability, and airworthiness throughout the product lifecycle. WHAT YOU’LL DO Provide technical leadership and strategic oversight for the planning and execution of structural, dynamic, and environmental testing on drones. Direct and empower your team to lead complex test campaigns, including defining scope, allocating resources, approving test plans, overseeing test operations, facilitating data review, and guiding test equipment design/fabrication. Plan and schedule short- and long-term testing projects, ensuring efficient resource allocation, and risk capture aligned with product development milestones. Conduct final review and approval of all test documentation and reports, ensuring accuracy, integrity, and compliance with internal, client, and regulatory expectations. Provide technical guidance, conduct performance evaluations, and implement strategies for continuous improvement in team productivity, technical excellence, and professional growth. Manage team priorities, resource allocation, and project assignments to ensure alignment with organizational objectives. Serve as a primary point of contact for internal engineering (hardware, software, mechanical, avionics) and product teams, providing critical feedback on design for testability, reliability, and performance. Build strong relationships with external stakeholders, including vendors, partners, and regulatory bodies, ensuring clear communication and successful project outcomes. REQUIRED QUALIFICATIONS 12+ years of experience in hardware development or test engineering, with at least 5+ years in a leadership or management capacity. Proven experience in hiring, mentoring, and developing high-performing engineering teams. Demonstrated ability to foster a safety-first culture in a demanding test environment. Expertise in engineering first principles and their application to complex system validation. Proficiency in at least one coding language (Python, Matlab, labview, etc.) for test automation and data analysis, with experience guiding team members in these tools. Familiarity with instrumentation and control components (accelerometers, load cells, thermocouples, pressure transducers, strain gauges, RTDs, and others) and experience guiding team members in their use and troubleshooting. Familiarity with industry-standard test guidance - MIL-STD-810, SMC-S-016, NASA GEVS, and experience driving compliance and best practices. BS, MS or PhD in an engineering discipline. PREFERRED QUALIFICATIONS Deep understanding of drone architectures, avionics, flight control systems, propulsion, navigation, communications, and payload integration. Experience managing budgets, schedules, and resources for engineering projects. Demonstrated ability to strategically plan, manage, and deliver complex test programs from inception to completion. Experience with 3D modeling software and PLM (Siemens NX, Teamcenter, etc.) for reviewing test fixture designs and managing data. Experience in a fast-paced, high-growth R and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits. Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com. Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.", "summaryDescription" : "Senior Manager, Development Testing (Drones) at Anduril Industries. Skills: Development testing, Drone platforms, Test strategy, Team leadership. Provide technical leadership. Provide strategic oversight", "postedDate" : "2026-06-14T20:04:05.941", "createdAt" : "2026-06-14T20:04:05.941", "lastUpdated" : "2026-06-16T02:52:27.685", "ingestTimestamp" : "2026-06-14T20:04:05.941", "mongoId" : "6a2c6bd374d8ee00a09150ef", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 215000, "salaryAnnualMax" : 305000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Structural testing", "Dynamic testing", "Environmental testing", "Test planning", "Resource allocation", "Risk capture", "Test documentation", "Test reports", "Test equipment design", "Test equipment fabrication", "Instrumentation", "Control components", "Leadership", "Development testing", "Drone platforms", "Test strategy", "Team leadership", "System validation", "Test automation", "Data analysis", "Aerospace", "Defense", "Airworthiness", "Drone subsystems", "Autonomy", "AI", "Computer vision", "Sensor fusion", "Networking technology", "Lattice OS", "Military systems", "Siemens NX", "Teamcenter" ], "skillCount" : 33, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 479.03976, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Defense Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a262f8374d8ee00a020ace4", "title" : "CDL A SEMI LOCAL Driver POTATO ACCOUNT", "company" : "Salt City Trucking", "industry" : "Logistics", "salary" : { "min" : 65000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a CDL A Semi Local Driver in Twin Falls, Idaho, with 3+ years of experience and mid-level seniority, adjusted for the logistics industry." }, "location" : "Twin Falls, ID", "locations" : [ "Twin Falls", "ID" ], "certifications" : [ "CDL A" ], "timestamp" : "2026-06-16T06:46:02.809", "fingerprint" : "f2e136a7e7daec5abb3d3bc71e4cdf9bae08b93a6e72e37c41d1bca492718526", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://salt-city-trucking.breezy.hr/p/99cfea6de691-cdl-a-semi-local-driver-potato-account", "externalId" : "99cfea6de691", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Twin Falls", "state" : "Idaho", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.5558542,-114.4700684" } ], "locationText" : "Twin Falls, Idaho, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "coreResponsibilities" : "Deliver to 4 states, Transport freight", "specialRequirements" : "No touch freight", "qualificationsBasic" : "3 months experience required", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "SEMI LOCAL driver position FOR LAMB WESTON FORJB HUNT gone 5 days out!! RESTS AT HOME 2 to 3 times a week as well! Weekends off ! DAYS !LOTS OF FRIEGHT !! NO TOUCH FRIEGHT! COMPETITIVE PAY on cent per mile! 3 MONTHS EXPERIENCED REQUIRED! Delivers to 4 different states! STEADY FREIGHT ! It is", "summaryDescription" : "CDL A SEMI LOCAL Driver POTATO ACCOUNT at Salt City Trucking. Deliver to 4 states. Transport freight", "createdAt" : "2026-06-14T21:48:03.857", "lastUpdated" : "2026-06-16T06:46:02.809", "ingestTimestamp" : "2026-06-14T21:48:03.857", "mongoId" : "6a262f8374d8ee00a020ace4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "CDL A" ], "skillCount" : 1, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 466.475, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a65f974d8ee00a062b479", "title" : "Senior Product Manager, Autonomous Vehicle Safety", "company" : "Amazon.com Services LLC", "industry" : "Project/Program/Product Management--Non-Tech, Product Management, Logistics", "salary" : { "min" : 136000.0, "max" : 184100.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T02:11:08.393", "fingerprint" : "35f972d161bcde54b05abb7808abb09688a9a2aefc7460d5d014e77fabcd7b5d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10445453/apply", "externalId" : "39324ddf-4f19-4a1d-a58a-4d3d23be5468", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" }, { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" }, { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Bellevue, Washington, United States; New York, New York, United States; Austin, Texas, United States; Arlington, Virginia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS", "professionalSkills" : [ "Product strategy", "Roadmap development", "User story creation", "Cross-functional collaboration" ], "hardSkillsList" : [ "Product lifecycle management", "Market research", "Competitive analysis", "Data analysis" ], "hardSkills" : [ { "name" : "Product lifecycle management", "level" : "intermediate" }, { "name" : "Market research", "level" : "intermediate" }, { "name" : "Competitive analysis", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Product management, Autonomous vehicle safety", "majorSkillsList" : [ "Product management", "Autonomous vehicle safety" ], "coreResponsibilities" : "Define and drive product strategy, Develop and maintain product roadmaps, Write detailed product and technical requirements, Create user stories and acceptance criteria, Collaborate with engineering, design, and program management, Launch new products and features, Analyze and report on product performance, Conduct customer research and market analysis", "teamCollaboration" : "Engineering teams; Design teams; Program management teams; Marketing teams; Legal teams; Operations teams", "projectManagementSkills" : [ "Agile methodologies", "Roadmap planning" ], "domainKnowledge" : "Autonomous vehicle technology; Vehicle safety standards; Machine learning", "domainList" : [ "autonomous-vehicle-technology", "vehicle-safety-standards", "machine-learning" ], "domainSpecificKnowledge" : [ "Autonomous vehicle technology", "Vehicle safety standards", "Machine learning" ], "toolProficiency" : [ "JIRA" ], "communicationSkills" : "Executive presentations; Technical documentation", "documentationSkills" : "Product requirements; User stories", "problemSolvingSkills" : "Root cause analysis; Data analysis", "outcomesObjectives" : "Deliver innovative products; Improve customer experience; Drive business growth", "qualificationsBasic" : "Bachelor's degree or equivalent, 5+ years of product management experience, Experience with technology and customer-facing products, Experience defining and launching products, Experience in a technical role", "qualificationsPreferred" : "Master's degree or MBA, Experience with autonomous systems, Experience with safety-critical systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you inspired by building safety into autonomous technologies that will transform how customers receive deliveries? Do you want to lead the definition of safety requirements and mechanisms for autonomous delivery systems at global scale? Amazon is building disruptive autonomous vehicle technology with the vision of creating the safest autonomous delivery operations in the world. We are pioneering safety-first approaches to autonomous systems and building innovative mechanisms that embed safety into every aspect of product design, from initial concept through deployment and operation. You will define safety requirements and build mechanisms with autonomous vehicle engineering teams. You will partner with Tech, Robotics, Engineering, Operations, Safety, Legal, and Compliance teams to ensure safety is built into autonomous vehicle products from the ground up. You will thrive in ambiguity, building and communicating a clear approach to autonomous vehicle safety that balances speed of innovation with rigorous safety standards. You will be expected to regularly display the following abilities: 1) High ownership and accountability for autonomous vehicle safety outcomes with the ability to define comprehensive safety requirements 2) Ability to navigate ambiguity with flexibility and decisiveness while balancing innovation with safety-critical design principles 3) Skills to work across diverse technical and non-technical stakeholder teams to communicate, convince and deliver safety mechanisms and 4) Ability to think big on a vision for transformative autonomous vehicle safety while being rooted in constant execution and measurable safety improvements. This is a critical role with room to innovate and solve key autonomous vehicle safety challenges at scale. Strong experience designing safety-critical systems and working with robotics or autonomous vehicle engineering teams is required. Key job responsibilities · Develop comprehensive safety requirements for autonomous delivery vehicles across all operational scenarios including navigation, obstacle detection and avoidance, pedestrian interaction, vehicle-to-vehicle communication, and emergency response protocols. · Define and own the autonomous vehicle safety requirements roadmap and strategy – establish safety standards, testing protocols, validation mechanisms, and continuous monitoring frameworks for autonomous systems. · Build mechanisms with autonomous vehicle engineering teams to embed safety into product design, from concept through deployment. Create safety review processes, design guidelines, testing frameworks, and safety validation checkpoints. · Write and present compelling business cases (backed by strong research and autonomous vehicle safety data analysis) for safety mechanism investments in partnership with all stakeholder teams. · Partner with Tech, Robotics, Engineering, Operations, Safety, Compliance, and Legal teams to design safety-first autonomous vehicle experiences that protect pedestrians, other road users, and property while enabling innovative delivery solutions. · Own end-to-end safety requirement development from initial concept to operational deployment – write safety requirement specifications, establish testing and validation protocols, monitor implementation, and ensure delivery meets rigorous safety standards. · Monitor and report on autonomous vehicle safety metrics and KPIs to senior leadership across Amazon – track safety incidents, near-miss events, system performance against safety requirements, and demonstrate continuous safety improvements. · Ensure compliance with Department of Transportation (DOT), National Highway Traffic Safety Administration (NHTSA), Federal Motor Carrier Safety Administration (FMCSA), and other regulatory requirements while staying ahead of evolving autonomous vehicle safety regulations and standards. · Drive adoption of safety mechanisms and best practices across autonomous vehicle engineering teams. Ensure that safety requirements are effectively integrated into design, development, testing, and deployment processes. · Establish safety testing and validation frameworks including simulation testing, closed-course testing, and real-world pilot testing protocols that demonstrate safety before scaling operations. · Manage complex, multi-stakeholder safety programs with compressed timelines. Find creative approaches to meet deadlines while never compromising on safety standards. · Create clear, effective written communication to present safety requirements, decision points, or data-based arguments that enable delivering on autonomous vehicle safety goals. Communicate to diverse audiences ranging from robotics engineers to senior leadership. A day in the life Amazon Benefits: Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skill sets. If you’re passionate about this role and want to make an impact on a global scale, please apply! Basic Qualifications: - Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders - 7+ years of product management experience including partnering closely with engineering, robotics, or autonomous systems teams - Experience building and launching complex products involving varied stakeholders and leaders across multiple organizations. - Track record of working on safety-critical, regulated, or compliance-driven products, preferably in autonomous systems, robotics, or transportation. - · Strong analytical skills and data-driven decision making – ability to analyze safety data, develop safety metrics, and evaluate system performance against safety requirements. - Demonstrated ability to drive partnerships, lead initiatives and independently manage large, complex projects in fast-paced environments. - Understanding of machine learning safety validation and testing methodologies. - Bachelor's degree in Engineering, Computer Science, Robotics, or related technical field. Preferred Qualifications: - Advanced technical degree preferred. - Experience with autonomous vehicle technology, robotics systems, or Advanced Driver Assistance Systems (ADAS). - Background in functional safety standards (ISO, UL, SOTIF) or safety-critical system design. - Product management experience with IoT devices, sensor systems, perception systems, or autonomous navigation technology. - Experience working with regulatory bodies (DOT, NHTSA, FMCSA) or autonomous vehicle safety standards organizations. - Knowledge of ROS, robotics frameworks, or autonomous system architectures. - Track record of launching safety-critical products at scale that demonstrably improved safety outcomes. - Advanced data analysis skills including SQL, Python, Excel, and business intelligence tools. - Experience with simulation and testing frameworks for autonomous systems. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, TN, Nashville - 124,500.00 - 168,500.00 USD annually USA, VA, Arlington - 136,000.00 - 184,100.00 USD annually USA, WA, Bellevue - 136,000.00 - 184,100.00 USD annually", "summaryDescription" : "Senior Product Manager, Autonomous Vehicle Safety at Amazon.com Services LLC. Skills: Product management, Autonomous vehicle safety. Define and drive product strategy. Develop and maintain product roadmaps", "postedDate" : "2026-06-10T00:00:00.000", "createdAt" : "2026-06-13T18:20:35.221", "lastUpdated" : "2026-06-15T02:11:08.393", "ingestTimestamp" : "2026-06-13T18:20:35.221", "mongoId" : "6a2a65f974d8ee00a062b479", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10445453/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 184100, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Product lifecycle management", "Market research", "Competitive analysis", "Data analysis", "Product management", "Autonomous vehicle safety", "Product strategy", "Roadmap development", "User story creation", "Cross-functional collaboration", "Agile methodologies", "Roadmap planning", "Autonomous vehicle technology", "Vehicle safety standards", "Machine learning", "JIRA" ], "skillCount" : 16, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 459.73477, "daysOld" : 5, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a455d74d8ee00a05d1e12", "title" : "Flight Operations Engineer", "company" : "Harmattan AI", "industry" : "R&D", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "MAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Junior Flight Operations Engineer in Morocco, adjusted for the technology industry and a junior seniority level." }, "location" : "Morocco", "locations" : [ "Morocco" ], "certifications" : [ "Pilot certification" ], "timestamp" : "2026-06-14T22:21:23.867", "fingerprint" : "3c560fcc836bbda84d6039fa5e6d36eb9f4114676109498b3c6e720a0d112f39", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/harmattan-ai/158cfbcb-545a-4c9d-afbe-7092cf958c39/application", "externalId" : "158cfbcb-545a-4c9d-afbe-7092cf958c39", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Morocco", "continent" : "af", "workMode" : "onsite" } ], "locationText" : "Morocco", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "technicalSkills" : "Flight dynamics, Control systems, Avionics, RF systems", "professionalSkills" : [ "Hardware engineering", "Technical autonomy", "Mission planning", "Logistics" ], "hardSkillsList" : [ "Piloting skills", "Flight testing", "Hardware integration", "System maintenance", "Debugging" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Piloting skills", "level" : "intermediate" }, { "name" : "Flight testing", "level" : "intermediate" }, { "name" : "Hardware integration", "level" : "intermediate" }, { "name" : "System maintenance", "level" : "intermediate" }, { "name" : "Debugging", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Flight operations, Autonomous systems, Field validation", "majorSkillsList" : [ "Flight operations", "Autonomous systems", "Field validation" ], "coreResponsibilities" : "Plan test campaigns, Execute test campaigns, Validate performance, Validate reliability, Validate edge-case behaviors, Lead flight demonstrations, Showcase mission-specific capabilities, Deliver training programs, Ensure safe operation, Ensure effective operation, Operate Harmattan AI systems, Support debugging, Support iteration, Execute deployment, Execute tactical logistics, Manage integration, Ensure mission readiness", "teamCollaboration" : "Work with hardware teams; Work with software teams; Work with systems teams", "domainKnowledge" : "Autonomous systems; Defense systems; Flight dynamics; Control systems; Avionics; RF systems; Command-and-control infrastructure; RF data links", "domainList" : [ "autonomous-systems", "defense-systems", "flight-dynamics", "control-systems", "avionics", "rf-systems", "command-and-control-infrastructure", "rf-data-links" ], "domainSpecificKnowledge" : [ "Autonomous systems", "Defense systems", "Flight dynamics", "Control systems", "Avionics", "RF systems", "Command-and-control infrastructure", "RF data links" ], "communicationSkills" : "Public presentations", "documentationSkills" : "Documentation skills", "problemSolvingSkills" : "Debugging", "specialRequirements" : "Frequent international presence, Dynamic schedule", "qualificationsBasic" : "2–5 years experience, Flight operations experience, Flight testing experience, Validation experience, Aerospace systems experience, Robotic systems experience, Embedded robotics experience, End-to-end assembly, System integration, System maintenance, High-performance FPV systems, Multicopters systems, Fixed-Wing systems", "qualificationsPreferred" : "Pilot certification, Military drone platforms, Industrial drone platforms", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT US Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces. Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected. ABOUT THE ROLE As a Flight Operations Engineer, you will be the bridge between our R&D lab and the operational field. You are responsible for the \"last mile\" of our technology: demonstrating capabilities to global defense partners, training end-users on complex autonomous systems, and conducting final field validation. This role requires a unique combination of elite piloting skills, hands-on hardware engineering and high degree of technical autonomy. RESPONSIBILITIES - Test Campaigns: Plan and execute real-world test campaigns to validate performance, reliability, and edge-case behaviors of new hardware and software releases. - Lead high-stakes live flight demonstrations for defense stakeholders, showcasing mission-specific capabilities in diverse environments. - Deliver comprehensive training programs to ensure clients can safely and effectively operate Harmattan AI systems covering flight theory, autonomous mission planning, and emergency procedures. - Cross-Team Collaboration: Work closely with hardware, software, and systems teams to support debugging and iteration based on test outcomes. - Execute the deployment and the tactical logistics of autonomous systems, managing the end-to-end integration of command-and-control (C2) infrastructure and RF data links in complex, real-world environments to ensure 100% mission readiness CANDIDATE REQUIREMENTS - 2–5 years of experience in flight operations, flight testing or validation on aerospace or robotic systems, or embedded robotics. - Proven track record in the end-to-end assembly, integration, and maintenance of high-performance FPV, multicopters and/or Fixed-Wing systems. - Wide engineering culture around flight dynamics, control systems, avionics, and/or RF systems. - Bonus: Pilot certification, experience with military or industrial drone platforms. - Detail-oriented with excellent documentation and organizational skills. - Strong communication and leadership skills, with the ability to motivate and guide teams toward success. - Proven ability to simplify complex technical concepts for training and public presentations. - Comfortable with a dynamic schedule that requires frequent international presence. We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.", "summaryDescription" : "Flight Operations Engineer at Harmattan AI. Skills: Flight operations, Autonomous systems, Field validation. Plan test campaigns. Execute test campaigns", "postedDate" : "2026-06-11T17:00:43.530", "createdAt" : "2026-06-11T17:00:43.530", "lastUpdated" : "2026-06-14T22:21:23.867", "ingestTimestamp" : "2026-06-11T17:00:43.530", "mongoId" : "6a2a455d74d8ee00a05d1e12", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Piloting skills", "Flight testing", "Hardware integration", "System maintenance", "Debugging", "Leadership", "Flight operations", "Autonomous systems", "Field validation", "Hardware engineering", "Technical autonomy", "Mission planning", "Logistics", "Defense systems", "Flight dynamics", "Control systems", "Avionics", "RF systems", "Command-and-control infrastructure", "RF data links", "Pilot certification" ], "skillCount" : 21, "jobCategory" : "other", "jobSubcategory" : "r&d", "dataQualityScore" : 0.8888889, "_score" : 457.3404, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Defense" }, { "id" : "6a306652f292fd229cfb0215", "title" : "Generalist Engineering Intern - Drones & Applied AI", "industry" : "Software Engineering", "salary" : { "min" : 48000.0, "max" : 60000.0, "currency" : "CHF", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for an Entry-level Engineering Intern in the Technology industry in Zurich, Switzerland, adjusted for seniority and internship roles." }, "location" : "Zürich", "locations" : [ "Zürich" ], "timestamp" : "2026-06-16T15:21:31.815", "fingerprint" : "5f56ce73733e2de6f9cc88c27576577b42ad09480c6b9f85c2555798a67f0578", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/wingtra-2/53ce6293-bb94-474b-aa8d-16fae7dedfc8/apply", "externalId" : "53ce6293-bb94-474b-aa8d-16fae7dedfc8", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Zürich", "country" : "Switzerland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "47.3744489,8.5410422" } ], "locationText" : "Zürich, Switzerland", "employmentType" : "INTERNSHIP", "technicalSkills" : "C++, Microcontrollers, CAN, UART, I2C, SPI, Embedded Linux, PX4, ROS/ROS 2, Autopilots, MAVLink, GNSS, Simulation, Python, TypeScript, React, Node.js, Git, Linux, PyTorch, OpenCV, Object detection, Edge deployment", "professionalSkills" : [ "System integration", "Firmware development", "Embedded software", "Hardware tasks", "Mechanical design", "CAD design", "Rapid prototyping", "Full-stack development", "ML approaches", "Data processing", "Code maintainability", "Open-source adaptation" ], "hardSkillsList" : [ "Soldering", "Wiring", "Debugging", "Test rig assembly", "3D printing", "CNC", "Log analysis", "Automation scripts", "Dataset processing" ], "softSkillsList" : [ "Curious", "Self-driven", "Agency", "Learning ability" ], "hardSkills" : [ { "name" : "Soldering", "level" : "intermediate" }, { "name" : "Wiring", "level" : "intermediate" }, { "name" : "Debugging", "level" : "intermediate" }, { "name" : "Test rig assembly", "level" : "intermediate" }, { "name" : "3D printing", "level" : "intermediate" }, { "name" : "CNC", "level" : "intermediate" }, { "name" : "Log analysis", "level" : "intermediate" }, { "name" : "Automation scripts", "level" : "intermediate" }, { "name" : "Dataset processing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious" }, { "name" : "Self-driven" }, { "name" : "Agency" }, { "name" : "Learning ability" } ], "majorSkills" : "Firmware, Embedded, Robotics, Software, Web, CV/ML, Data", "majorSkillsList" : [ "Firmware", "Embedded", "Robotics", "Software", "Web", "CV/ML", "Data" ], "coreResponsibilities" : "Prototype systems integrating software, Test systems integrating software, Develop firmware, Develop embedded software, Handle hardware tasks, Solder electronics, Wire electronics, Debug electronics, Assemble test rigs, Design mechanical parts, Design enclosures, Build internal tools, Build full-stack applications, Evaluate CV/ML approaches, Contribute maintainable code, Adapt open-source components", "teamCollaboration" : "Work with engineers", "domainKnowledge" : "Drone hardware; Microcontrollers; Embedded Linux; Robotics; Autopilots; MAVLink; GNSS; Simulation; Linux development; Cloud APIs; Object detection; Edge deployment; Large dataset processing", "domainList" : [ "drone-hardware", "microcontrollers", "embedded-linux", "robotics", "autopilots", "mavlink", "gnss", "simulation", "linux-development", "cloud-apis", "object-detection", "edge-deployment", "large-dataset-processing" ], "domainSpecificKnowledge" : [ "Drone hardware", "Microcontrollers", "Embedded Linux", "Robotics", "Autopilots", "MAVLink", "GNSS", "Simulation", "Linux development", "Cloud APIs", "Object detection", "Edge deployment", "Large dataset processing" ], "toolProficiency" : [ "CAD", "Git", "ROS", "ROS 2", "PX4", "MAVLink", "PyTorch", "OpenCV" ], "communicationSkills" : "Spoken English; Written English", "continuousLearning" : "Self-directed learner", "innovationCreativity" : "Prototype development", "problemSolvingSkills" : "Complex debugging", "qualificationsBasic" : "Proven track record of building substantial projects independently, Self-directed learner comfortable with technical ambiguity, Engineering judgment focused on reliability, Proficiency in spoken and written English, Degree in Robotics, CS, Engineering, or equivalent practical experience", "qualificationsPreferred" : "Concrete examples of things they have personally built, Projects that went beyond coursework, Projects involved solving real-world problems, Showed some sustained iteration on projects", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Responsibilities As a generalist engineering intern, you will work with and assist highly driven and experienced engineers to achieve ambitious goals. You may contribute across several of the following areas, depending on your strengths and the project needs: Prototype and test systems integrating software, electronics, mechanics, and drone hardware. Develop firmware and embedded software for microcontrollers and peripherals. Handle hardware tasks including soldering, wiring, debugging, and assembling test rigs. Design mechanical parts and enclosures using CAD and rapid prototyping tools. Build internal tools and full-stack applications using Python, TypeScript, or React. Evaluate CV/ML approaches for automation, mapping, and drone-related data processing. Contribute maintainable code to existing codebases and adapt open-source components. ## Requirements We are looking for someone who is highly curious, self-driven, and comfortable working across disciplines. You should be able to show that you have a: Proven track record of building substantial projects independently (hobby, professional, or open-source). Self-directed learner comfortable with technical ambiguity and complex debugging. Strong engineering judgment focused on reliability over simple demos. Proficiency in spoken and written English. Degree (in progress or completed) in Robotics, CS, Engineering, or equivalent practical experience. The strongest candidates will have concrete examples of things they have personally built. We are especially interested in projects that went beyond coursework and involved solving real-world problems, your own or for others, and showed some sustained iteration on it. ## Plus You do not need experience in all of the areas below. A strong overlap with a few of them, plus high agency and strong learning ability, is more important. Relevant experience could include: Firmware / embedded: C/C++, microcontrollers, protocols (CAN, UART, I2C, SPI), and embedded Linux. Robotics: PX4, ROS/ROS 2, autopilots, MAVLink, GNSS, and simulation. Hardware: Hands-on electronics, soldering, debugging, and test rig assembly. Mechanical: CAD design for mounts/enclosures and rapid prototyping (3D printing, CNC). Software: Python, C++, TypeScript, Git, and maintainable Linux development. Web: Full-stack tools using React, Node.js, and cloud APIs. CV/ML: PyTorch, OpenCV, object detection, and edge deployment. Data: Log analysis, automation scripts, and large dataset processing.", "summaryDescription" : "Generalist Engineering Intern - Drones & Applied AI. Skills: Firmware, Embedded, Robotics, Software, Web, CV/ML, Data. Prototype systems integrating software. Test systems integrating software", "postedDate" : "2026-06-15T11:09:50.497", "createdAt" : "2026-06-15T11:09:50.497", "lastUpdated" : "2026-06-16T15:21:31.815", "ingestTimestamp" : "2026-06-16T03:26:44.943", "mongoId" : "6a306652f292fd229cfb0215", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Soldering", "Wiring", "Debugging", "Test rig assembly", "3D printing", "CNC", "Log analysis", "Automation scripts", "Dataset processing", "Curious", "Self-driven", "Agency", "Learning ability", "Firmware", "Embedded", "Robotics", "Software", "Web", "CV/ML", "Data", "System integration", "Firmware development", "Embedded software", "Hardware tasks", "Mechanical design", "CAD design", "Rapid prototyping", "Full-stack development", "ML approaches", "Data processing", "Code maintainability", "Open-source adaptation", "Drone hardware", "Microcontrollers", "Embedded Linux", "Autopilots", "MAVLink", "GNSS", "Simulation", "Linux development", "Cloud APIs", "Object detection", "Edge deployment", "Large dataset processing", "CAD", "Git", "ROS", "ROS 2", "PX4", "PyTorch", "OpenCV" ], "skillCount" : 51, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 456.40884, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a15e45f58b93c861e7c6a4c", "title" : "CDL A SEMI LOCAL Driver CANDY ACCOUNT", "company" : "Salt City Trucking", "industry" : "Logistics", "salary" : { "min" : 75000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a CDL A Semi Local Driver in Baltimore, with adjustments for mid-seniority and the logistics industry." }, "location" : "Baltimore, MD", "locations" : [ "Baltimore", "MD" ], "timestamp" : "2026-06-16T02:25:31.440", "fingerprint" : "97c0f6c2889718ea81cff7d5afadd910ce3858bf3584d8363c857179d8e94c6a", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://salt-city-trucking.breezy.hr/p/c08fb078831e-cdl-a-semi-local-driver-candy-account", "externalId" : "c08fb078831e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Baltimore", "state" : "Maryland", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.2908816,-76.6107590" } ], "locationText" : "Baltimore, Maryland, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "coreResponsibilities" : "Deliver to 6 states, Work weekends, Work nights", "specialRequirements" : "Gone 5 days out, No touch freight, Nights, Weekend work", "qualificationsBasic" : "3 months experience required", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "SEMI LOCAL driver position FOR CANDY ACCOUNT FOR CR ENGLAND! gone 5 days out!! RESTS AT HOME 2 to 3 times a week as well! Weekend work ! NIGHTS !LOTS OF FRIEGHT !! NO TOUCH FRIEGHT! COMPETITIVE PAY on cent per mile! 3 MONTHS EXPERIENCED REQUIRED! Delivers to 6 different states! STEADY FREIGHT", "summaryDescription" : "CDL A SEMI LOCAL Driver CANDY ACCOUNT at Salt City Trucking. Deliver to 6 states. Work weekends", "createdAt" : "2026-06-14T19:40:52.796", "lastUpdated" : "2026-06-16T02:25:31.440", "ingestTimestamp" : "2026-06-14T19:40:52.796", "mongoId" : "6a15e45f58b93c861e7c6a4c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 95000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 451.00583, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a16869d58b93c861eaee0f3", "title" : "DEDICATED SEMI-LOCAL CLASS-A CDL DRIVER", "company" : "Accent It", "industry" : "Logistics", "salary" : { "min" : 1200.0, "max" : 1600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Elizabethtown, NC", "locations" : [ "Elizabethtown", "NC" ], "certifications" : [ "Class A CDL" ], "timestamp" : "2026-06-15T09:27:42.860", "fingerprint" : "36c1ff6d65f2b457830e9103d7df580c3bf489037c87cc2f60c667ec97eafb92", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://accentit.breezy.hr/p/62d043a14c54-dedicated-semi-local-class-a-cdl-driver", "externalId" : "62d043a14c54", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Elizabethtown", "state" : "North Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.6293372,-78.6052899" } ], "locationText" : "Elizabethtown, North Carolina, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "hardSkillsList" : [ "Class A CDL" ], "hardSkills" : [ { "name" : "Class A CDL", "level" : "intermediate" } ], "majorSkills" : "Class A CDL", "majorSkillsList" : [ "Class A CDL" ], "coreResponsibilities" : "Drive semi-local routes, Deliver freight", "domainKnowledge" : "Southeast Region", "domainList" : [ "southeast-region" ], "domainSpecificKnowledge" : [ "Southeast Region" ], "specialRequirements" : "Home Every Other Day, Night Driving, No Touch Freight", "outcomesObjectives" : "1,500-1,700 Miles Per Week", "qualificationsBasic" : "3 Months Minimum Experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "DEDICATED SEMI-LOCAL SOLO CLASS-A CDL DRIVING POSITION3 Months Minimum Experience Required Your Schedule:Home Every Other Day (34 Hr Reset)SEMI-LOCAL Regional Coverage: Southeast Region 1,500–1,700 Miles Per WeekNight Driving with No Touch Freight What You’ll Earn:$1,200.00 – $1,600.00 Weekly Pay", "summaryDescription" : "DEDICATED SEMI-LOCAL CLASS-A CDL DRIVER at Accent It. Skills: Class A CDL. Drive semi-local routes. Deliver freight", "createdAt" : "2026-06-14T08:07:14.003", "lastUpdated" : "2026-06-15T09:27:42.860", "ingestTimestamp" : "2026-06-14T08:07:14.003", "mongoId" : "6a16869d58b93c861eaee0f3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 62400, "salaryAnnualMax" : 83200, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Class A CDL", "Southeast Region" ], "skillCount" : 2, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 442.7676, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8bd574d8ee00a0973df0", "title" : "Insight Operations & AI Enablement Lead", "company" : "Gen", "industry" : "Marketing, Brand & Communications", "salary" : { "min" : 110000.0, "max" : 165000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Lead Insight Operations & AI Enablement Lead in London, United Kingdom, adjusted for the technology industry and company size." }, "location" : "GBR - London", "locations" : [ "GBR - London" ], "timestamp" : "2026-06-16T01:25:07.478", "fingerprint" : "9fcdf68db3bf2c9237f49bfbc30ab4d66c6ecb2cadaf7d547dcb8bb43e90fd46", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/gen-digital/bcfa8eea-e429-4bc7-80e8-a0d2c37cd0ad/application", "externalId" : "bcfa8eea-e429-4bc7-80e8-a0d2c37cd0ad", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Job Title: Insight Operations & AI Enablement Lead Location: London (3 days per week in the office) About Gen Gen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock, MoneyLion and more. Our combined heritage is rooted in financial empowerment and cyber safety for the first digital generations, and today we deliver award-winning cybersecurity, online privacy, identity protection and financial wellness solutions to nearly 500 million users in more than 150 countries. Together, we share a collective passion and vision to protect consumers and help them grow, manage and secure their digital and financial lives. We’re always looking for smart, fearless and high-impact talent who see AI as a teammate – leveraging it to move faster and deliver meaningful results. When you’re part of Gen, you’ll have the flexibility, tools and support to do your best work and grow your career – from flexible working options and time off to competitive pay, benefits and well-being programs. At Gen, we are scrappy and relentlessly customer driven. We create room for healthy debate, experimentation and continuous learning, and we seek out people with different experiences, identities and ideas to join our team. You’ll work with people who back each other, respect each other and understand that our differences are a competitive advantage. If this sounds like you, we’d love you to be part of Gen. How We Work Our hybrid work style (3 days in the office – London )- gives us the face-to-face time to have creative conversations, meaningful meetings, make quick decisions and build relationships. And it’s flexible enough to give you the space to do your best work. About the Role: The Insight Operations & AI Enablement Lead sits within the Global Insights & Strategy team, part of Global Marketing (Marketing, Brand & Communications). The role sits at the intersection of strategy, operations and enablement, building and scaling the operational and AI foundations of the Insight function so the team can move faster, work smarter and focus on high‑value insight and strategy. You will lead the AI enablement agenda for the Insight team (where and how AI supports our work), own core team operations (budget, suppliers and team cadences), and run research operations (tools, governance, compliance and recruitment). By combining strong operations skills with technical curiosity and a service mindset, you will increase the speed, quality and strategic impact of the Insights team while ensuring responsible, compliant and cost‑effective delivery. Key Responsibilities: 1. AI enablement - Define and maintain the AI roadmap for the Insight team, focusing on clear, high‑value use cases across the insight lifecycle (briefing, analysis, reporting, activation, knowledge management). - Plan and run AI pilots (e.g. summarisation, coding, assistive authoring, knowledge search) with defined success criteria, turning proven pilots into standard workflows. - Own a concise AI playbook covering workflows, prompts, templates and guardrails, including when work should be human‑only vs human‑in‑the‑loop. - Partner with Legal, Privacy, InfoSec and central AI teams to ensure responsible AI use in line with Gen policies. 2. Research operations - Maintain the inventory of research tools and platforms (survey, UX testing, panels, repositories, dashboards), including owners, contracts and purpose, and recommend standardisation or upgrades where helpful. - Ensure research tools and practices are GDPR‑compliant and aligned to Gen’s privacy and data protection requirements; keep core consent and data‑handling guidance up to date. - Oversee respondent recruitment processes (external panels, customer samples, in‑product intercepts) with agencies and internal partners, monitoring response rates, cost and participant experience. - Create and maintain lean operations templates and checklists (e.g. consent language, incentives, screeners, data‑handling steps) and use automation/AI where appropriate to remove manual, repeatable tasks. 3. Team operations - Support annual planning and in‑year tracking of insight budgets (agencies, panels, tools, training), and manage key renewals, POs and value checks for core suppliers. - Coordinate the team rhythm – meetings, all hands, show‑and‑tells, training and offsites – with clear objectives, agendas, notes and follow‑ups stored in the right places (e.g. SharePoint, Stravito, Teams/Slack). - Maintain and evolve core ways of working (intake/briefing, workstack tracking, debrief templates, documentation) and stakeholder guidance on how to work with the Insight team. About you: Education: - Bachelor’s degree in a relevant field (e.g. Business, Operations, Marketing, Information Systems) or equivalent practical experience. Experience: - Experience in operations, programme management, research operations or marketing operations, ideally within insights, research, analytics, product or marketing. - Hands‑on familiarity with research tools and workflows (e.g. survey platforms, UX testing tools, panels, insight repositories). - Experience managing suppliers, contracts and budgets (planning, tracking, renewals, value assessment). - Experience owning or overseeing AI tool adoption and development of AI workflows, and comfort experimenting with new technology in a structured way. Skills: - Strong process and systems thinking – able to map workflows and design simple, scalable processes. - Technically curious – quick to learn new tools and translate them into practical use cases and guidance. - Stakeholder management – credible with researchers, PMs, designers, marketers and ops/finance partners; able to influence without direct authority. - Clear written and verbal communication, including playbooks, how‑to guides and training materials. - Comfortable with change and ambiguity, and able to support others through adoption of new tools and ways of working. Personal Attributes: - Ability to thrive in a fast-paced, high-tech environment and manage complex problems. - Service‑oriented: motivated by making it easier for the team to deliver great work and for stakeholders to use insight. - Experiment‑driven: prefers test‑and‑learn over big‑bang changes. - Methodical and detail‑oriented: approaches tasks with careful planning, ensuring processes are followed and details are addressed. - Ethical and responsible: thoughtful about risk, especially around customer data and AI. What’s next: Your CV will be reviewed together by the recruiter and hiring manager to assess the scope of your role, the impact you’ve delivered, and how your experience aligns with the position. If shortlisted, the recruiter will invite you to an initial Zoom conversation to discuss your background, what’s compelling you to Gen, and walk you through the interview process. Important Application Note – When you apply, please include your current city and country and let us know your work status (e.g. visa status, right to work in the relevant country, etc.). Gen is an equal opportunity employer, and we’re committed to fair, inclusive practices at every stage of the candidate and employee journey. Employment decisions are based on merit, experience and business needs. Gen is an equal opportunity employer, and we’re committed to fair, inclusive practices at every stage of the candidate and employee journey. Employment decisions are based on merit, experience and business needs.", "summaryDescription" : "Insight Operations & AI Enablement Lead at Gen", "createdAt" : "2026-06-14T19:21:59.296", "lastUpdated" : "2026-06-16T01:25:07.478", "ingestTimestamp" : "2026-06-14T19:21:59.296", "mongoId" : "6a2c8bd574d8ee00a0973df0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "_score" : 442.6011, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3086b7f292fd229c082a3e", "title" : "Senior Partner Enablement Manager", "company" : "Datadog", "industry" : "SaaS", "salary" : { "min" : 1.2E7, "max" : 1.8E7, "currency" : "JPY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Partner Enablement Manager in Tokyo, Japan, adjusted for the SaaS industry and Datadog's company size." }, "location" : "Tokyo, Japan", "locations" : [ "Tokyo", "Japan" ], "timestamp" : "2026-06-16T11:38:52.965", "fingerprint" : "956ae175d6323482295c188ddac82aaf9fae2ae0367cc710e7487a9b929381e1", "source" : "greenhouse", "language" : "ja", "applyUrl" : "https://careers.datadoghq.com/detail/8007394/?gh_jid=8007394", "externalId" : "8007394", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tokyo", "country" : "Japan", "continent" : "as", "source" : "llm", "workMode" : "hybrid", "geo" : "35.6768601,139.7638947" } ], "locationText" : "Tokyo, Japan", "employmentType" : "FULL_TIME", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Partner enablement", "Sales enablement", "Partner programs", "Channel operations", "Training development", "Project management", "Data analysis" ], "hardSkillsList" : [ "Facilitation", "Presentation", "Program development", "Program delivery", "Relationship building", "Project management", "Data utilization", "Feedback collection" ], "hardSkills" : [ { "name" : "Facilitation", "level" : "intermediate" }, { "name" : "Presentation", "level" : "intermediate" }, { "name" : "Program development", "level" : "intermediate" }, { "name" : "Program delivery", "level" : "intermediate" }, { "name" : "Relationship building", "level" : "intermediate" }, { "name" : "Project management", "level" : "intermediate" }, { "name" : "Data utilization", "level" : "intermediate" }, { "name" : "Feedback collection", "level" : "intermediate" } ], "majorSkills" : "Partner enablement, Sales enablement, Channel operations, Program management", "majorSkillsList" : [ "Partner enablement", "Sales enablement", "Channel operations", "Program management" ], "coreResponsibilities" : "Drive partner onboarding, Drive partner activation, Drive partner enablement, Provide knowledge and tools, Support partner positioning, Support partner selling, Support partner support, Execute enablement programs, Localize global initiatives, Implement global initiatives, Support new partner onboarding, Identify high-potential partners, Develop activation strategies, Deliver enablement experiences, Define partner profiles, Define activation criteria, Adapt global content, Adapt global programs, Adapt global communications, Collect feedback, Identify enablement gaps, Propose improvements, Design new enablement models, Implement new enablement models, Drive new enablement models", "teamCollaboration" : "Partner Sales Managers; Global Partner Enablement Team; Partner companies; Internal stakeholders; Distributors", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Datadog solutions", "domainList" : [ "datadog-solutions" ], "domainSpecificKnowledge" : [ "Datadog solutions" ], "communicationSkills" : "Facilitation; Presentation; Writing; Oral communication", "continuousLearning" : "Professional development; Product training; Career pathing; MEDDIC training; Command of Message training; Mentorship program; Buddy program", "problemSolvingSkills" : "Identify improvement opportunities; Identify enablement gaps", "specialRequirements" : "20-30% travel", "outcomesObjectives" : "Accelerate partner readiness; Accelerate partner activation; Drive measurable business outcomes", "qualificationsBasic" : "7+ years partner enablement experience, 7+ years sales enablement experience, 7+ years partner program experience, 7+ years channel operations experience, 7+ years training experience, Excellent facilitation skills, Excellent presentation skills, Develop enablement programs, Deliver enablement programs, Build strong relationships, Manage multiple projects, Identify improvement opportunities, Measure program effectiveness, Excellent Japanese writing skills, Excellent Japanese oral skills, 20-30% travel", "qualificationsPreferred" : "SaaS company experience, Technology company experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "チャネル＆アライアンスチームでは、日本のパートナーエコシステム全体でパートナーのオンボーディング、アクティベーション、イネーブルメントを推進する「パートナーイネーブルメントマネージャー」を募集しています。本ポジションでは、パートナー営業マネージャー（PSM）、パートナー各社、グローバルパートナーイネーブルメントチームと密に連携し、パートナーがDatadogのソリューションを適切にポジショニング・販売・サポートするために必要な知識・ツール・リソースを確実に提供します。日本におけるイネーブルメントプログラムを実行するとともに、グローバルの取り組みを国内パートナー・市場のニーズに合わせてローカライズし、実装していく役割も担います。新規パートナーのオンボーディング支援、高ポテンシャルパートナーの特定、アクティベーション戦略の策定、測定可能なビジネス成果につながるイネーブルメント体験の提供を通じて、パートナーの準備体制とアクティベーションを加速する重要な役割を担います。 Datadogはオフィス文化を大切にしています。対面での関係構築やコラボレーション、そして創造性の醸成を重視し、ハイブリッド勤務制度を採用することで、各自が最適なワーク・ライフ・ハーモニーを実現できる環境を整えています。業務内容：グローバルパートナーイネーブルメントチームとの連携による、パートナー向けイネーブルメントプログラムの実行新規パートナーがDatadogパートナーネットワークの一員として迅速に活躍できるよう、オンボーディング体験の提供パートナー向けトレーニング、認定資格、ワークショップ、ウェビナー、イネーブルメント施策展開の支援 PSMと連携し、高ポテンシャルなパートナーの特定および、エンゲージメントとビジネス成果を加速するアクティベーション戦略の策定パートナーの採用・オンボーディング・プログラム参加の質を高めるため、理想的なパートナープロファイルとアクティベーション基準の定義を支援グローバルのイネーブルメントコンテンツ・プログラム・コミュニケーションを、日本のパートナーおよび市場ニーズに合わせてアレンジパートナーおよび社内ステークホルダーからフィードバックの収集し、イネーブルメントのギャップ特定を含んだ改善提案ディストリビュータを通じた新しいパートナーイネーブルメントモデルの立案、実装、推進募集要項： SaaSまたはテクノロジー企業において、パートナーイネーブルメント、セールスイネーブルメント、パートナープログラム、チャネルオペレーション、トレーニングまたは関連職種での7年以上の経験技術系・ビジネス系双方の聴衆への、優れたファシリテーション・プレゼンテーション能力オンボーディング・トレーニング・認定資格・イネーブルメントプログラムの開発、提供経験社内ステークホルダーおよび外部パートナーと強固な関係を構築できる力複数のプロジェクトを同時に管理できる、高い組織力とプロジェクトマネジメント力データとフィードバックを活用して改善機会を特定し、プログラム効果を測定した経験優れた文章力・口頭コミュニケーション能力（日本語）年間20〜30%程度の出張対応が可能な方 Datadogは、さまざまな立場の人々を大切にしています。誰もが初日から上記の資格をすべて満たすわけではないことは理解しています。それでも構いません。テクノロジーに情熱を持ち、スキルを伸ばしたいと思っている方は、ぜひご応募ください。福利厚生と成長機会：個々のパフォーマンスと成果に基づく豊かな報酬体系新入社員への株式付与（RSU / 譲渡制限付株式ユニット）および従業員株式購入制度（ESPP）プレジデント・クラブへの参加機会継続的な専門能力開発、製品トレーニング、キャリアパスの提供 MEDDICとCommand of Messageに関する丁寧な営業研修社内ネットワーク構築のためのメンターおよびバディ・プログラムインクルーシブな企業文化、コミュニティ・ギルドへの参加機会幅広く手厚い医療関連の福利厚生制度企業型確定拠出年金（401K）ペットの養子縁組と保険プログラム上記の内容は、就業する国やDatadogでの雇用内容によって異なる場合があります。世界中のすべての候補者様にご理解頂けるよう、応募情報に関する項目は一部、英語のままで記載されています。全ての求人情報を英語でご確認されたい場合は、こちらをご覧ください。 #LI-Hybrid About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.", "summaryDescription" : "Senior Partner Enablement Manager at Datadog. Skills: Partner enablement, Sales enablement, Channel operations, Program management. Drive partner onboarding. Drive partner activation", "postedDate" : "2026-06-16T01:22:13.614", "createdAt" : "2026-06-16T01:22:13.614", "lastUpdated" : "2026-06-16T11:38:52.965", "ingestTimestamp" : "2026-06-16T01:22:13.614", "mongoId" : "6a3086b7f292fd229c082a3e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Facilitation", "Presentation", "Program development", "Program delivery", "Relationship building", "Project management", "Data utilization", "Feedback collection", "Partner enablement", "Sales enablement", "Channel operations", "Program management", "Partner programs", "Training development", "Data analysis", "Datadog solutions" ], "skillCount" : 16, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 436.89386, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 33511, "totalPages" : 671, "hasNext" : true, "hasPrevious" : false } }

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