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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" : 850.5183, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Mining", "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" : 826.8528, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace" }, { "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" : 796.41895, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Defense Technology", "llmIndustryConfidence" : 0.98 }, { "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" : 751.033, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cea0474d8ee00a0a6f6c8", "title" : "Staff Technician, Unmanned Systems Test Operator (R5214)", "company" : "Shield AI", "industry" : "Integration & Test", "salary" : { "min" : 34.0, "max" : 51.0, "currency" : "USD", "frequency" : "per-hour-wage" }, "location" : "San Diego, California", "locations" : [ "San Diego, California" ], "timestamp" : "2026-06-16T01:07:06.546", "fingerprint" : "18650cabd221605e6af14b99d0e10b63c0f67577f3244e8ad264c7cc9eb297ce", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/shieldai/63811a8f-8f9e-4de7-ab12-cfadbe5484ce/apply", "externalId" : "63811a8f-8f9e-4de7-ab12-cfadbe5484ce", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Diego", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7174202,-117.1627720" } ], "locationText" : "San Diego, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C++, Python, Linux, ROS, C#, MATLAB, Git, CI/CD", "professionalSkills" : [ "System integration", "Hardware integration", "Flight test operations", "Data analysis", "Embedded systems", "Avionics" ], "hardSkillsList" : [ "Software development", "System testing", "Data analysis", "Hardware integration", "Flight operations" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "System testing", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Hardware integration", "level" : "intermediate" }, { "name" : "Flight operations", "level" : "intermediate" } ], "majorSkills" : "Unmanned Systems, Test Operations, Software Development", "majorSkillsList" : [ "Unmanned Systems", "Test Operations", "Software Development" ], "coreResponsibilities" : "Operate unmanned systems, Execute test plans, Collect and analyze test data, Integrate hardware and software systems, Develop and maintain test scripts, Troubleshoot system issues, Document test results, Collaborate with engineering teams", "teamCollaboration" : "Engineering teams", "projectManagementSkills" : [ "Agile methodologies" ], "domainKnowledge" : "Unmanned systems; Flight test operations; Embedded systems; Avionics", "domainList" : [ "unmanned-systems", "flight-test-operations", "embedded-systems", "avionics" ], "domainSpecificKnowledge" : [ "Unmanned systems", "Flight test operations", "Embedded systems", "Avionics" ], "toolProficiency" : [ "ROS", "Simulation tools", "Git", "CI/CD pipelines" ], "documentationSkills" : "Document test results", "problemSolvingSkills" : "Troubleshoot system issues", "qualificationsBasic" : "5+ years experience, Bachelor's degree in Computer Science, Experience with C++, Experience with Python, Experience with Linux, Experience with ROS, Experience with simulation tools, Experience with hardware integration, Experience with flight test operations, Experience with data analysis", "qualificationsPreferred" : "Master's degree in Computer Science, Experience with drone systems, Experience with avionics, Experience with embedded systems, Experience with C#, Experience with MATLAB, Experience with Git, Experience with CI/CD pipelines, Experience with Agile methodologies", "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. ## What you'll do Operate flight test platforms in support of daily fly-fix-fly verification activities Serve as a primary operator for Group 1/2 UAS platforms during developmental and operational testing. Configure, inspect, maintain, and troubleshoot aircraft, payloads, autopilot systems, and ground control stations. Coordinate aircraft readiness, pre-flight inspections, launch and recovery operations, and post-flight maintenance activities. Execute operational test procedures and mission plans while ensuring compliance with established safety and operational requirements. Support development, refinement, and enforcement of standard operating procedures (SOPs), checklists, and operational best practices. Ensure compliance with FAA regulations, airspace requirements, range procedures, and company flight operations standards. Assist in flight planning, airspace coordination, mission scheduling, and operational risk assessments. ## Required qualifications 5+ years of experience operating and maintaining Group 1/2 UAS platforms in test, military, commercial, or operational environments. Strong knowledge of COTS UAS hardware, autopilot systems, ground control stations, communications systems, and payload integration. Experience developing, implementing, and executing standard operating procedures (SOPs), checklists, and operational processes. Working knowledge of FAA regulations, National Airspace System (NAS) operations, airspace coordination, and flight authorization requirements. Experience conducting flight operations in dynamic and complex test environments. Strong organizational, communication, and mission planning skills. Ability to coordinate effectively with software, systems, safety, and flight operations personnel. FAA Part 107 certification or equivalent UAS operational experience. Ability to obtain and maintain a SECRET clearance; U.S. citizenship required. ## Preferred qualifications Experience supporting autonomy, AI-enabled systems, or developmental flight test programs, particularly with multi-aircraft or distributed UAS operations. Fabrication experience with design, build of mechanical and electrical systems Familiarity with standard control and autopilot elements such as QGC, Mission Planner, Ardupilot, Px4 Military UAS operations or test experience. ## 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" : "Staff Technician, Unmanned Systems Test Operator (R5214) at Shield AI. Skills: Unmanned Systems, Test Operations, Software Development. Operate unmanned systems. Execute test plans", "postedDate" : "2026-06-12T22:24:41.836", "createdAt" : "2026-06-12T22:24:41.836", "lastUpdated" : "2026-06-16T01:07:06.546", "ingestTimestamp" : "2026-06-14T21:10:36.805", "mongoId" : "6a2cea0474d8ee00a0a6f6c8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 51, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Software development", "System testing", "Data analysis", "Hardware integration", "Flight operations", "Unmanned Systems", "Test Operations", "Software Development", "System integration", "Flight test operations", "Embedded systems", "Avionics", "Agile methodologies", "Unmanned systems", "ROS", "Simulation tools", "Git", "CI/CD pipelines" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 719.7728, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Defense-Tech", "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" : 677.22205, "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" : 671.79663, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Mining", "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" : 660.5836, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Defense Tech", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2ca57774d8ee00a09b6a83", "title" : "Utilization Management Coordinator", "company" : "Connections Health Solutions", "industry" : "Healthcare", "location" : "Shared Services, Remote", "locations" : [ "Shared Services", "Remote" ], "timestamp" : "2026-06-15T22:13:13.548", "fingerprint" : "ef8227fae0e23c8450f72d759a0ee6ce264b9f9d8daa36d6e8cb86ccf42ae871", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/connectionshealthsolutions/jobs/4272489009", "externalId" : "4272489009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "shaked", "state" : "west bank", "country" : "palestinian territory", "continent" : "asia", "source" : "locations-index", "geo" : "32.4735,35.16877" } ], "locationText" : "Shared Services, Remote", "employmentType" : "FULL_TIME", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "We’re not just behavioral health people—we’re crisis people. Connections Health Solutions is a leading provider of immediate-access behavioral health crisis care. Our team combines medical and recovery-oriented treatment to stabilize individuals in crisis and connect them to community-based resources for ongoing recovery. Founded by emergency room psychiatrists Dr. Chris Carson and Dr. Robert Williamson, our model is physician-led and data-driven, drawing upon more than 15 years of crisis care expertise. Recognized by SAMHSA and the National Council for Mental Wellbeing as a national best practice, we’ve delivered invaluable treatment to hundreds of thousands of individuals facing crises. Our commitment remains consistent, to improve access, inspire hope, and provide the right support. Our values shape our decisions, define our culture, and foster continuous learning and growth. We accept people as they are, creating safe spaces where they feel valued and respected. We inspire hope by walking with people side-by-side, showing them grace and compassion. We act with intention, holding ourselves and each other accountable, and doing the right thing. We work as one team, trusting and supporting each other. We embrace change and innovation, striving to find better ways to fulfill our mission. We are on a mission to change the face of behavioral health. Help us save lives and make a difference. What You'll Do: The Utilization Management Coordinator pursues and secures authorizations from any and all payers. Ensures appropriate utilization of services at Connections Health Solutions clinics, observation and inpatient units. Facilitates maximum appropriate payment through support of concurrent review of inpatient care by any payer. Obtains prior authorization for service as required. Works with all payers to secure authorization for inpatient stays for all individuals admitted to Inpatient or COE Unit. Performs utilization review in accordance with all Payor requirements, State Regulations, and Joint Commission Standards. Ensures all payer utilization management staff receive needed daily information to perform their reviews. Obtain authorizations for previously identified procedures where required. Reviews medical records and evaluates patient progress towards discharge. Performs continuing review on medical records and identification and need for on-going inpatient services. Obtains necessary medical reports, treatment plans and validates BHMP’s progress notes/evaluations for appropriate justifications of continued stay. Documents review information as required by State and Payor regulations. Communicates results to applicable payor sources: including requests to BHMP’s for expedited follow-up to all payer UM staff. Complies with regulation changes affecting utilization management. Facilitates educational programs and advises physicians and other departments of regulations affecting utilization management. Performs all other duties as assigned. This is a fully remote position in these states: AL, AR, AZ, CA, CO, CT, DC, FL, GA, IA, IL, IN, KS, KY, LA, MA, MD, ME, MI, MN, MT, NC, NJ, OH, OR, PA, RI, SC, TN, TX, UT, VA, WA What You'll Bring: High School Diploma or equivalent At least 2 years of behavioral health experience Expertise in Utilization Management responsibilities, tasks and functions, and/or Clinical auditing experience The Company has a mandatory vaccination policy. All successful applicants must be fully vaccinated, including showing proper documentation, or otherwise be exempt pursuant to the Company’s exemption process prior to their start date as a condition of employment It would be great if you had: Bachelor's degree in Nursing, behavioral health, social work, medical coding, or related field Previous clinician (Social Work) experience Licensed MSW Strong organizational, documentation, and data-entry skills Excellent communication, customer service abilities Familiarity with Medicare, Medicaid, and commercial insurance requirements Proficient in Microsoft Excel for tracking, reporting, and record management Knowledge of ADHS/DBHS and RBHA Policies and Procedures relative to Utilization Management Previous experience obtaining authorization from third parties What We Offer: Full-time only: Employees (and their families) are offered comprehensive health insurance, including Medical, Dental, Vision, Accident, Critical Illness, and Hospital Indemnity CHS pays for Basic Life, AD&D, Short and Long-Term Disability Voluntary Life insurance option for employees and their families Health Savings Accounts (with $1,000 to $2,000 employer contribution depending on plan) Flexible Spending Accounts (health care and dependent care) 401k company match after 6 months (50% of deferrals up to 6% of compensation) Generous PTO starting at 160 hours accrued annually and 12 recognized company holidays Company‑paid parental leave available to eligible employees All employees (Pool, Part-time and Full-time): Employee Assistance Program to help with confidential emotional support, work life solutions, financial solutions, legal assistance, or online support After 90 days, you are auto enrolled in the 401k Plan Connections Health Solutions is proud to be a Second Chance Employer. EEO Statement Connections Health Solutions is an equal opportunity employer. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. We are committed to creating an inclusive and welcoming environment for all employees and applicants.", "summaryDescription" : "Utilization Management Coordinator at Connections Health Solutions", "postedDate" : "2026-06-14T19:26:20.512", "createdAt" : "2026-06-14T19:26:20.512", "lastUpdated" : "2026-06-15T22:13:13.548", "ingestTimestamp" : "2026-06-14T19:26:20.512", "mongoId" : "6a2ca57774d8ee00a09b6a83", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "healthcare", "jobSubcategory" : "operations", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 659.96606, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.0 }, { "id" : "6a2c94bb74d8ee00a098b726", "title" : "Utilization Review Manager", "company" : "ERC Pathlight", "industry" : "Healthcare", "salary" : { "min" : 93000.0, "max" : 117000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Aspen Remote", "locations" : [ "Aspen Remote" ], "certifications" : [ "RN", "IF nurse", "Full clinical licensure" ], "timestamp" : "2026-06-15T03:44:30.505", "fingerprint" : "3a22b9313ec0cf4d9ba01aa4085ac0c2ee88871ab14e80790347905672d6c6eb", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/erc8585757pathlight53t353/jobs/4251030009", "externalId" : "4251030009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Denver", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "39.7392364,-104.9848620" }, { "workMode" : "remote" } ], "locationText" : "Denver, Colorado, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Clinical supervision", "Performance management", "Development planning", "Succession planning", "Career development" ], "hardSkills" : [ { "name" : "Clinical supervision", "level" : "intermediate" }, { "name" : "Performance management", "level" : "intermediate" }, { "name" : "Development planning", "level" : "intermediate" }, { "name" : "Succession planning", "level" : "intermediate" }, { "name" : "Career development", "level" : "intermediate" } ], "majorSkills" : "Utilization review, Patient care advocacy, Clinical determination reviews, Caseload allocation", "majorSkillsList" : [ "Utilization review", "Patient care advocacy", "Clinical determination reviews", "Caseload allocation" ], "coreResponsibilities" : "Hire Utilization Review Specialists, Evaluate Utilization Review Specialists, Supervise Utilization Review Specialists, Oversee Utilization Review operations, Coordinate with Clinical Managers, Coordinate with Directors, Coordinate with Physicians, Coordinate with Business Office, Coordinate with Managed Care Organizations, Assure smooth operation of UR functions, Provide optimal patient care, Clinically supervise teammates, Provide in-moment assistance, Supervise assigned team, Guide assigned team, Direct assigned team, Ensure team skills, Ensure team tools, Ensure team talents, Use people processes, Ensure team performance, Ensure team capabilities, Advocate for optimal patient care, Review medical record, Synthesize medical record, Liaise with regional management, Discuss clinical issues, Facilitate solutions, Oversee regional caseload, Attend treatment team meetings, Share information, Represent UR, Share clinical documentation concerns", "teamCollaboration" : "Clinical Managers; Directors; Physicians; Business Office; Managed Care Organizations; Regional management teams; Treatment team meetings", "domainKnowledge" : "Eating disorders; Mood disorders; Anxiety disorders; Trauma-related conditions; Mental health care; Mental health treatment; Clinical care determination", "domainList" : [ "eating-disorders", "mood-disorders", "anxiety-disorders", "trauma-related-conditions", "mental-health-care", "mental-health-treatment", "clinical-care-determination" ], "domainSpecificKnowledge" : [ "Eating disorders", "Mood disorders", "Anxiety disorders", "Trauma-related conditions", "Mental health care", "Mental health treatment", "Clinical care determination" ], "documentationSkills" : "Clinical documentation", "continuousLearning" : "Tuition reimbursement", "problemSolvingSkills" : "Facilitate solutions", "specialRequirements" : "Willingness to work occasional night/weekends", "outcomesObjectives" : "Provide optimal patient care", "qualificationsBasic" : "4 to 6 years Utilization review experience, 2 years post-degree mental health experience, Graduate Degree - Master's degree, RN, IF nurse (Required), Full clinical licensure, if mental health", "qualificationsPreferred" : "2 years management experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Who We Are At ERC Pathlight, we’re on a mission to change lives—and we’re looking for people who feel called to do the same. As one of the nation’s leading treatment providers for eating disorders and mood, anxiety, and trauma-related conditions, we bring innovative, evidence-based, and deeply compassionate care to patients across the country. With multiple locations nationwide and extensive virtual programming, we meet patients exactly where they are and help them move toward lasting recovery. Founded in 2008 by renowned psychiatrists and psychologists, ERC Pathlight now supports more than 6,000 patients each year. And as the need for world-class mental health care continues to rise, our commitment is stronger than ever: to expand access, elevate the standard of care, and empower every patient to rebuild their life with dignity and hope. Why Join Us When you join ERC Pathlight, you become part of a team that shows up every day to make a real difference. You’ll work alongside passionate clinicians, dedicated support staff, and mission-driven leaders who believe in collaboration, growth, and doing the right thing—always. Here, your work matters. Your ideas matter. You matter. If you’re energized by purpose, motivated by impact, and ready to help transform the future of mental health treatment, you belong here. Come build hope. Come save lives. Come grow with us. What You'll Be Doing: As a Manager, Utilization Review, you will hire, evaluate, and supervise Utilization Review Specialists and oversee Utilization Review operations. This role coordinates with Clinical Managers and Directors, Physicians, Business Office, and Managed Care Organizations to assure the smooth operation of Utilization Review functions and the provision of optimal patient care. ESSENTIAL DUTIES AND RESPONSIBILITIES: Clinically supervises teammates in 1:1 and group settings; provides in-moment assistance on escalated issues. Provides oversight to assigned team by supervising, guiding, and directing employees to be effective team members. Ensures that everyone is equipped with the right skills, tools, and talents necessary for executing their duties. Using the established people processes (performance, development, succession, and career) to ensure that the team’s level of performance and capabilities meet current and future standards. Advocates for optimal patient care in clinical care determination reviews by proactively reviewing and synthesizing the medical record for discussion with licensed mental health counselors and social workers and RNs at managed care organizations Liaison with regional management teams to discuss clinical issues and facilitate solutions to situations that involve the UR process Oversees regional caseload allocation Attends treatment team meetings to share information and represent UR department; shares clinical documentation quality concerns Education Requirements: Graduate Degree - Master's degree in psychology, counseling or social work. Alternatively, a bachelor's in Nursing License and Certification Requirements RN, IF nurse (Required) Full clinical licensure, if mental health. (Required) Knowledge, Skills and Abilities: 4 to 6 years Utilization review experience (Required) 2 years post-degree mental health experience in direct patient care (Required) 2 years management experience (Preferred) Willingness to work occasional night/weekends Location however, per company policy, candidates residing within a 35‑mile radius of ZIP code 80230 will be required to follow a hybrid schedule, even if they applied to the remote posting. Remote: Mondays and Fridays On-site in our Denver Office: Tuesdays, Wednesdays, and Thursdays The compensation range for this position is based upon candidate experience and market expectations. Colorado pay range $93,000—$117,000 USD What We Offer At ERC Pathlight, caring for people is our mission and that begins with caring for our own team. Your well-being matters, and our benefit program is designed to support every part of your life. We offer competitive compensation; comprehensive medical, dental, and vision coverage; generous Paid Time Off; Parental Leave benefits; Retirement benefits; and tuition reimbursement to help you continue growing in your career. We also recognize that mental health is part of every person’s experience. That’s why we strive to create a workplace where you feel supported, seen, and encouraged—personally, professionally, and at home. When you thrive, you can do your best work. And your best work changes lives.", "summaryDescription" : "Utilization Review Manager at ERC Pathlight. Skills: Utilization review, Patient care advocacy, Clinical determination reviews, Caseload allocation. Hire Utilization Review Specialists. Evaluate Utilization Review Specialists", "postedDate" : "2026-06-13T21:15:48.545", "createdAt" : "2026-06-13T21:15:48.545", "lastUpdated" : "2026-06-15T03:44:30.505", "ingestTimestamp" : "2026-06-13T21:15:48.545", "mongoId" : "6a2c94bb74d8ee00a098b726", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 93000, "salaryAnnualMax" : 117000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Clinical supervision", "Performance management", "Development planning", "Succession planning", "Career development", "Utilization review", "Patient care advocacy", "Clinical determination reviews", "Caseload allocation", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Eating disorders", "Mood disorders", "Anxiety disorders", "Trauma-related conditions", "Mental health care", "Mental health treatment", "Clinical care determination", "RN", "IF nurse", "Full clinical licensure" ], "skillCount" : 26, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 658.3718, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305b4ff292fd229cf5c3dc", "title" : "Utilization Management RN Supervisor", "company" : "WelbeHealth", "salary" : { "min" : 99309.0, "max" : 131088.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Los Angeles, California, United States", "locations" : [ "Los Angeles", "California", "United States" ], "timestamp" : "2026-06-16T08:32:56.613", "fingerprint" : "0f804e17a57ed55f06a72060c20ffe0fce1b188e6be8061ff399fa7cf51f3174", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/welbehealth/jobs/8592468002", "externalId" : "8592468002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceLevel" : "Manager", "rawDescription" : "At WelbeHealth, we are transforming the reality of senior care by providing an all-inclusive healthcare option to the most vulnerable senior population, functioning as both a care provider and care plan to those individuals we serve. Our Health Plan Services team plays a critical role in our participant’s journey and our Utilization Management team ensures we can provide timely, quality, compliant, and cost-effective care to our participants. By guiding this team, the Utilization Management RN Supervisor drives the continuous improvement of our care delivery processes. Essential Job Duties: Direct oversight of day-to-day operations within the designated UM team Assist the team in reviewing prior-authorization requests for medical necessity and appropriateness Identify, develop, and provide orientation and competency development for staff processing and/or reviewing authorizations Collaborate with providers (internal and external), clinical staff, and others to timely resolve any utilization management issues Job Requirements: Minimum of three (3) years of relevant clinical nursing experience Strong preference for prior PACE experience Two (2) years of supervisory experience with demonstrated aptitude to mentor and develop team members Benefits of Working at WelbeHealth: Apply your expertise in new ways as we rapidly expand. You will have the opportunity to design the way we work in the context of an encouraging and loving environment where every person feels uniquely cared for. Medical insurance coverage (Medical, Dental, Vision) Work/life balance - we mean it! 17 days of personal time off (PTO), 12 holidays observed annually, and sick time 401K savings + match Advancement opportunities - we’ve got a track record of hiring and promoting from within, meaning you can create your own path! And additional benefits Compensation consists of base salary plus bonus. WelbeHealth offers a competitive total rewards package that includes a 401(k) match, comprehensive healthcare coverage, and a broad range of additional benefits. Actual compensation will be determined based on experience and relevant qualifications. Compensation Offering $99,309.58—$131,088.64 USD COVID-19 Vaccination Policy At WelbeHealth, our mission is to unlock the full potential of our vulnerable seniors. In this spirit, please note that we have a vaccination policy for all our employees and proof of vaccination, or a vaccine declination form will be required prior to employment. WelbeHealth maintains required infection control and PPE standards and has requirements relevant to all team members regarding vaccinations. Our Commitment to Diversity, Equity and Inclusion At WelbeHealth, we embrace and cherish the diversity of our team members, and we're committed to building a culture of inclusion and belonging. We're proud to be an equal opportunity employer. People seeking employment at WelbeHealth are considered without regard to race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, marital or veteran status, age, national origin, ancestry, citizenship, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member), pregnancy or other status protected by applicable law. Beware of Scams Please ensure your application is being submitted through a WelbeHealth sponsored site only. Our emails will come from @welbehealth.com email addresses. You will never be asked to purchase your own employment equipment. You can report suspected scam activity to fraud.report@welbehealth.com", "summaryDescription" : "Utilization Management RN Supervisor at WelbeHealth", "postedDate" : "2026-06-15T23:25:17.310", "createdAt" : "2026-06-15T23:25:17.310", "lastUpdated" : "2026-06-16T08:32:56.613", "ingestTimestamp" : "2026-06-15T23:25:17.310", "mongoId" : "6a305b4ff292fd229cf5c3dc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 99309, "salaryAnnualMax" : 131088, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 656.3673, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a161f5f58b93c861e9197b2", "title" : "Drone System Repair & Refurbishment Technician", "company" : "Verity", "industry" : "Manufacturing", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Drone System Repair & Refurbishment Technician in Durham, United States, adjusted for the technology industry." }, "location" : "Durham, NC", "locations" : [ "Durham", "NC" ], "timestamp" : "2026-06-16T02:27:18.271", "fingerprint" : "54b1b3bfb9a169ef7549e39117303217d333fae4f4ebac765478f6abd7f2918c", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://verity-ag.breezy.hr/p/fe086d07168d-drone-system-repair-refurbishment-technician", "externalId" : "fe086d07168d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Durham", "state" : "North Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.9966530,-78.9018053" } ], "locationText" : "Durham, North Carolina, United States", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Repair drone systems, Refurbish drone systems, Own repair workflow, Own refurbishment workflow", "domainKnowledge" : "Drone systems", "domainList" : [ "drone-systems" ], "domainSpecificKnowledge" : [ "Drone systems" ], "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Position Overview:Verity is looking for a Drone System Repair & Refurbishment Technician to own the repair and refurbishment workflow for our new US facility in North Carolina. You", "summaryDescription" : "Drone System Repair & Refurbishment Technician at Verity. Repair drone systems. 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" : 655.8189, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.85 }, { "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. 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"coreResponsibilities" : "Conduct medical reviews, Make clinical decisions of hematology and oncology treatment, Determine medical necessity, Determine appropriateness, Align with value-based clinical guidelines, Align with evidence-based practices, Review appropriateness of ongoing cancer treatment plans, Provide clinical guidance, Provide recommendations, Balance quality, Balance outcomes, Balance cost-effectiveness, Liaise with providers, Liaise with insurance companies, Liaise with patients, Clarify treatment options, Discuss treatment options, Clarify coverage, Discuss coverage, Evaluate clinical data, Evaluate utilization data, Identify trends, Identify variations in care, Identify opportunities for improvement, Support value-based care, Ensure compliance with organizational policies, Ensure compliance with regulatory standards, Ensure compliance with payer requirements, Participate in development of utilization management protocols, Participate in development of utilization 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Oncology Institute (NASDAQ: TOI) is advancing oncology by delivering highly specialized, value-based cancer care in the community setting. TOI offers cutting-edge, evidence-based cancer care to a population of approximately 1.9 million patients, including clinical trials, transfusions, and other care delivery models traditionally associated with the most advanced care delivery organizations. With over 180 employed and affiliate clinicians and over 100 clinics and affiliate locations of care across five states and growing, TOI is changing oncology for the better. Utilization Management Medical Director Oncology Work Location: REMOTE (work from home) California Nevada Arizona Oregon Florida As a Medical Director, Utilization Management, you will report directly to the Chief Clinical Officer and support key C-suite clinical initiatives. This is a leadership role with responsibility for providing medical and strategic oversight of utilization management while leading and developing a clinical Utilization Management team. You will guide the evaluation of the clinical necessity and appropriateness of oncology treatments, ensuring cost-effective, evidence-based care without compromising patient outcomes, while partnering closely with executive, clinical, and operational leaders across the organization. Key Responsibilities: Conduct medical reviews and make independent clinical decisions of hematology and oncology treatment plans to determine medical necessity, appropriateness, and alignment with value-based clinical guidelines and evidence-based practices. Review and assess the appropriateness of ongoing cancer treatment plans, ensuring that they align with evidence-based medicine and clinical best practices. Provide clinical guidance and recommendations that balance quality, outcomes, and cost-effectiveness. Liaise with providers, insurance companies, and patients to clarify and discuss treatment options and coverage. Evaluate clinical and utilization data to identify trends, variations in care, and opportunities for improvement Partner with clinical and operational teams to support value-based care Ensure compliance with organizational policies, regulatory standards, and payer requirements in all clinical decisions. Participate in the development and continuous improvement of utilization management protocols and criteria specific to oncology. Qualifications: Medical degree (MD or DO) Board Certification in Oncology. Minimum of 5 years of clinical experience in oncology. 2+ years of Utilization Management experience Proven expertise in Utilization Management or experience with reviewing clinical appropriateness of treatment plans. Strong understanding of oncology-specific treatment protocols, guidelines, and reimbursement policies. Excellent analytical skills and the ability to evaluate complex clinical data. Ability to work independently and make evidence-based decisions in a collaborative, multidisciplinary setting. Excellent communication skills to engage effectively with healthcare providers, payers, and patients. If you’re interested in learning more, but not ready to apply, please reach out to our team to set-up a call at your convenience. Physiciancareers@theoncologyinstitute.com Ready to apply? Please complete the simple application and our team will reach out to you quickly. The estimate displayed represents the typical wage range of candidates hired. Factors that may be used to determine your actual salary may include your specific skills, how many years of experience you have and comparison to other employees already in this role. Pay Transparency for salaried teammates $275,000—$300,000 USD", "summaryDescription" : "Medical Director Utilization Management Oncology at The Oncology Institute. Skills: Utilization Management, Oncology, Clinical necessity, Evidence-based care. 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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; Partners; Certification bodies; Engineering organizations", "projectManagementSkills" : [ "Agile", "Roadmap", "Milestone", "Risk management", "Release management", "Gate review", "Backlog management", "Dependency management", "Issue management" ], "domainKnowledge" : "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", "domainList" : [ "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" ], "domainSpecificKnowledge" : [ "Software-defined Vehicle", "Autonomous Driving Systems", "Vehicle Software", "Driver Control 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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" : 638.26514, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "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" : 631.77057, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "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" : 630.2193, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "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" : 620.8597, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "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" : 607.41296, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "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" : 602.6033, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c771b74d8ee00a093bc14", "title" : "Staff Research Scientist, Localization and Mapping", "company" : "Venti Technologies", "industry" : "Engineering", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on market data for a Staff Research Scientist in Singapore, adjusted for executive seniority and the technology industry." }, "location" : "Singapore", "locations" : [ "Singapore" ], "timestamp" : "2026-06-16T00:57:53.090", "fingerprint" : "914c17a20198034fcfecc3905a9374ec9d3a3d4238321dc255a8b416da1a0e91", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/goventi/028e492b-88d8-4912-a2aa-516b851d4e02/application", "externalId" : "028e492b-88d8-4912-a2aa-516b851d4e02", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C++, GPU programming, ROS, ROS2, SLAM, Lidar, Camera, GNSS-INS, Kalman Filters, Machine learning", "professionalSkills" : [ "System architecture", "Technical roadmap", "Project prioritization", "Engineering execution" ], "hardSkillsList" : [ "Sensor fusion", "State estimation", "Odometry methods", "Sensor calibration", "Regression testing", "Release validation" ], "softSkillsList" : [ "Mentorship" ], "hardSkills" : [ { "name" : "Sensor fusion", "level" : "intermediate" }, { "name" : "State estimation", "level" : "intermediate" }, { "name" : "Odometry methods", "level" : "intermediate" }, { "name" : "Sensor calibration", "level" : "intermediate" }, { "name" : "Regression testing", "level" : "intermediate" }, { "name" : "Release validation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentorship" } ], "majorSkills" : "Localization, Mapping, Robotics, Autonomous vehicles", "majorSkillsList" : [ "Localization", "Mapping", "Robotics", "Autonomous vehicles" ], "coreResponsibilities" : "Lead research roadmap, Develop essential tools, Generate scalable maps, Scale simulation regression tests, Develop live autonomy stack modules, Lead design and development of localization and mapping, Architect scalable and automated HD map generation, Architect automated map maintenance, Architect automated map regression, Architect automated map deployment pipelines, Develop robust multi-sensor localization solutions, Improve localization accuracy, Improve localization reliability, Define software architecture, Define performance metrics, Define testing strategies, Define deployment standards, Integrate localization and maps, Drive technical roadmap, Drive project prioritization, Drive engineering execution, Support field testing, Support debugging, Support deployment activities", "teamCollaboration" : "Multi-disciplinary autonomy teams; Perception teams; Planning teams; Controls teams; Testing/operations teams; Perception, planning, systems teams; Software infrastructure teams; Data software & services teams", "projectManagementSkills" : [ "Project prioritization" ], "domainKnowledge" : "Robotics; Autonomous vehicles; Localization systems; Mapping systems; Industrial vehicle platforms; Logistics yards; GPS-denied environments; Dynamic industrial environments; GPS interference; HD mapping systems; Real outdoor robotics; Safety critical software; Driverless trucks", "domainList" : [ "robotics", "autonomous-vehicles", "localization-systems", "mapping-systems", "industrial-vehicle-platforms", "logistics-yards", "gps-denied-environments", "dynamic-industrial-environments", "gps-interference", "hd-mapping-systems", "real-outdoor-robotics", "safety-critical-software", "driverless-trucks" ], "domainSpecificKnowledge" : [ "Robotics", "Autonomous vehicles", "Localization systems", "Mapping systems", "Industrial vehicle platforms", "Logistics yards", "GPS-denied environments", "Dynamic industrial environments", "GPS interference", "HD mapping systems", "Real outdoor robotics", "Safety critical software", "Driverless trucks" ], "toolProficiency" : [ "ROS", "ROS2" ], "communicationSkills" : "Technical direction", "problemSolvingSkills" : "Problem-solvers", "qualificationsBasic" : "Ph. D. or Master’s degree, 7+ years of experience, Proficiency in C++, GPU programming experience, Real-time robotic systems experience, Familiar with ROS/ROS2, Deep understanding of SLAM algorithms, Sensor fusion including Lidar, Camera, GNSS-INS, State estimation including Kalman Filters, Lidar and visual odometry methods, HD mapping systems, Tool development and data pipelines, Machine learning approaches for localization, Map features/semantics, Sensor calibration, Degradations/maintenance in real outdoor robotics, Safety critical software development processes, Simulation regression testing, Fleet-scale release validation, Mentoring junior/mid-level engineers, Guiding technical direction, Contributing to organizational growth, Excellent communication skills", "qualificationsPreferred" : "ROS/ROS2 familiarity", "remoteFriendly" : false, "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. We are seeking a Staff Research Scientist, Localization and Mapping to serve as a principal technical authority for our multi-disciplinary autonomy teams. In this individual contributor (IC) role, you will champion the research roadmap, essential tool developments, scalable map generation, scaling of simulation regression tests, and live autonomy stack core modules for safety-critical applications on driverless trucks in complex logistics yards. Our autonomy solutions must overcome environmental challenges not limited to high vibration/shock (industrial vehicle platforms/loads), high environmental change (shipping container stock variance), high occlusions from large actors/structures, all-weather 24-hour everyday operational demands, and high-precision alignments for parking or interfacing with specialized logistics equipment. This role combines cutting-edge research with deep system architecture ownership. You will stay abreast of current research trends and mentor the team to translate advanced robotics algorithms into robust, real-world systems. You will work closely with perception, planning, controls, and testing/operations teams to deliver production-grade autonomy solutions for real-world deployments. Role responsibilities - Lead the design and development of localization and mapping systems for autonomous logistics vehicles - Architect scalable and automated HD map generation, maintenance, regression and deployment pipelines - Develop robust multi-sensor localization solutions using LiDAR, GNSS, IMU, cameras, and wheel odometry - Improve localization accuracy and reliability in GPS-denied or dynamic industrial environments with GPS interference. - Define software architecture, performance metrics, testing strategies, and deployment standards - Collaborate with perception, planning, systems, software infrastructure, and data software & services teams to integrate localization and maps into the autonomy stack - Drive technical roadmap, project prioritization, and engineering execution - Support field testing, debugging, and deployment activities Required experience - Educational Background: Ph.D. or Master’s degree in Computer Science, Robotics, Engineering, or a related field, with a focus on localization and/or mapping for autonomous systems. - 7+ years of experience in robotics, autonomous vehicles, or localization/mapping systems - Strong proficiency in C++, GPU programming, and experience with real-time robotic systems (preferably familiar with ROS/ROS2) - Deep understanding of: - SLAM algorithms - Sensor fusion including Lidar, Camera, GNSS-INS - State estimation including Kalman Filters - Lidar and visual odometry methods - HD mapping systems, including tool development and data pipelines - Machine learning approaches for localization and map features/semantics - Sensor calibration and degradations/maintenance in real outdoor robotics deployments - Safety critical software development processes including simulation regression testing and fleet-scale release validation - Influence & Mentorship: Demonstrated experience mentoring junior/mid-level engineers, guiding technical direction, and contributing to organizational growth through technical excellence. - Collaboration & Communication: Excellent communication skills for working across multidisciplinary teams and influencing technical direction.", "summaryDescription" : "Staff Research Scientist, Localization and Mapping at Venti Technologies. Skills: Localization, Mapping, Robotics, Autonomous vehicles. Lead research roadmap. 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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" : 595.64526, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "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" : 590.7226, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305805f292fd229cf3fa77", "title" : "Utility Intern", "company" : "HDR", "industry" : "Consulting", "salary" : { "min" : 22.0, "max" : 26.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States-California-Long Beach", "locations" : [ "United States-California-Long Beach" ], "timestamp" : "2026-06-16T07:09:51.740", "fingerprint" : "59cb3e0e70eece0bba2fbb022c1ab0b3f7484b0a4ded9d43ef9e21c7f863a23c", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=785053", "externalId" : "785053", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Long Beach", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.7690164,-118.1916040" } ], "locationText" : "Long Beach, California, United States", "employmentType" : "PART_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Engineering techniques", "Engineering procedures" ], "coreResponsibilities" : "Gain real-world experience, Connect with college graduates, Connect with company leaders, Apply engineering techniques, Apply engineering procedures, Perform assignments, Participate in design process, Develop alternative solutions, Develop presentation graphics, Communicate concepts to client, Communicate concepts for agency approval, Perform other duties", "teamCollaboration" : "Mentoring programs; Young professionals programs", "domainKnowledge" : "Transportation infrastructure", "domainList" : [ "transportation-infrastructure" ], "domainSpecificKnowledge" : [ "Transportation infrastructure" ], "communicationSkills" : "Presentation graphics", "continuousLearning" : "Mentoring programme", "innovationCreativity" : "Novel ideas", "problemSolvingSkills" : "Develop alternative solutions", "qualificationsBasic" : "3 years completed toward degree, 3.0+ GPA", "qualificationsPreferred" : "Knowledge of software packages", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. We believe transportation is more than movement, it’s the foundation of connected, thriving communities. As part of HDR’s Transportation Business Group, you’ll help shape the systems that move people and goods safely, efficiently, and sustainably. From designing resilient highways and iconic bridges to advancing transit, passenger and freight rail, aviation, federal transportation ports and marine infrastructure, your work will directly support economic vitality, public safety, sustainable and resilient communities and quality of life. We bring together planners, engineers, architects, construction management staff, environmental, strategic communications, economists, management consultants and specialists across disciplines to solve complex mobility challenges with innovation, technical excellence, and a deep understanding of community needs. Whether you're modernizing aging infrastructure or pioneering next-generation transportation solutions, your contributions will help define the future of mobility. This isn’t just a job, it’s a chance to lead progress, drive meaningful impact, and leave a legacy of smarter, more connected transportation networks. We are all employee-owners at HDR, which is the foundation of our collaborative culture that connects employees around the world. In the role of Utility Intern, we'll count on you to: Gain real-world experience on exciting projects Connect with recent college graduates and our company leaders through mentoring and young professionals programs Apply standard engineering techniques and procedures Perform assignments under the direct supervision of a professional or Project Manager Participate in the design process, and develop alternative solutions and presentation graphics used to communicate concepts to client or for agency approval Perform other duties as needed The ideal candidate will commit to working approximately 20 hours per week on-site, working alongside and receiving mentorship from a licensed engineer. This position does not offer remote work. Preferred Qualifications Prefer 3 years completed toward degree with 3.0+ GPA Demonstrated knowledge of software packages related to field of study/industry We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. The expected compensation range for this position is %2422-%2426/hr and depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. Temporary and part-time roles eligible for limited benefits.)", "summaryDescription" : "Utility Intern at HDR. Gain real-world experience. 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As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. We believe transportation is more than movement, it’s the foundation of connected, thriving communities. As part of HDR’s Transportation Business Group, you’ll help shape the systems that move people and goods safely, efficiently, and sustainably. From designing resilient highways and iconic bridges to advancing transit, passenger and freight rail, aviation, federal transportation ports and marine infrastructure, your work will directly support economic vitality, public safety, sustainable and resilient communities and quality of life. 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In the role of Utility Intern, we'll count on you to: Gain real-world experience on exciting projects Connect with recent college graduates and our company leaders through mentoring and young professionals programs Apply standard engineering techniques and procedures Perform assignments under the direct supervision of a professional or Project Manager Participate in the design process, and develop alternative solutions and presentation graphics used to communicate concepts to client or for agency approval Perform other duties as needed The ideal candidate will commit to working approximately 20 hours per week on-site, working alongside and receiving mentorship from a licensed engineer. This position does not offer remote work. 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We are trusted by some of the most well-known companies and properties in the country while remaining dedicated to building personalized security solutions that solve the needs of every customer we support. Named as a nationally recognized Top Workplace in 2024 and 2025 by USA Today, Marksman's customized approach to security services will provide you with the opportunity to learn, grow and succeed. Our core values of being Unified, Transparent, Innovative, Committed and Accountable help us in providing unparalleled service and support in all that we do. If you are looking for a meaningful career, a culture of excellence, and the ability to make a difference, we want to talk to you! Marksman Security LLC Is Hiring Immediately for Utility Security Officer $20.00 Per Hour | Part Time | Kansas City, Missouri Site Location: Toyota Motor Manufacturing, Texas, Inc. 1111 N Airworld Dr, Kansas City, MO 64153 About the Role The Utility Security Officer is an on-call, flexible assignment officer whose primary role is to support operations by covering open shifts due to vacations, call-offs, no-notice resignations, short-term vacancies, and special coverage needs. Utility Officers are not assigned to a fixed post or master schedule and must be available to work a variety of sites and shifts on short notice. This position is critical to reducing overtime and maintaining consistent security coverage. Schedule & Availability Flexible availability required Must be willing to work varying shifts, including: Days, evenings, overnights Weekends and holidays Shift length may vary based on operational needs Work Schedule/Pay Rate Pay Rate: Hourly - $20.00 Ideal Candidate This role is ideal for dependable, adaptable individuals who enjoy variety, want flexible work hours, and are comfortable stepping into different environments on short notice. What This Role Is This is a professional, high-accountability environment — not a sit-and-scroll post. Your performance is visible, your work matters, and those who show up consistently have a real, fast path to advancement. What We’re Looking For We hire for our core values — and we mean it: Service — You understand that exceptional service builds trust and reputation Integrity — You are accountable, honest, and self-aware Innovation — You look for better ways to get the job done Drive — You bring 100% effort and push through obstacles Commitment — You dedicate yourself to the mission If you want a team that invests in you, show us you’re ready to invest in it. KEY DUTIES AND RESPONSIBILITIES Provide coverage for: Vacations Call-offs No-notice resignations Short-term vacancies Temporary increases in coverage requirements Respond to work assignments on short notice when available. Perform all assigned post duties in accordance with post orders, company policy, and client requirements. Maintain required licenses, certifications, and training for all sites they may support. Demonstrate professionalism, adaptability, and reliability at all assigned locations. Accurately report time worked and comply with scheduling and payroll procedures. Assist in minimizing overtime while ensuring adequate staffing levels. EXPECTATIONS Utility Officers are considered a critical operational asset and are subject to the following expectations: Are fully flexible and available to work: Any shift Any day of the week Any facility within the operational area Have no transportation restrictions. Are expected to work up to 40 hours per week. Are utilized in an overtime status only as a last resort. Are considered an asset of the site and receive assignments from the Security Chief, Administrative Assistant, or their designated representative. Are evaluated by the Security Chief or their designated representative based on: Reliability Flexibility Performance quality Compliance with policy and post orders Contribution to overtime reduction efforts QUALIFICATIONS To perform this job successfully, Utility Security Officers meet the following qualifications and competencies: Meet all minimum qualifications required of a Security Officer under company policy and applicable state regulations. Possess and maintain all required licenses, permits, and certifications necessary to work at assigned sites. Have a minimum of one (1) year of verifiable security experience, or equivalent military, law enforcement, or public safety experience, unless waived by the Security Chief or designee. Demonstrate a consistent record of: Attendance and punctuality Policy compliance Professional conduct Reliable performance Be capable of working independently with minimal supervision. Possess strong verbal and written communication skills, including the ability to complete accurate and timely reports. Demonstrate sound judgment, decision-making, and problem-solving abilities. PREFERRED QUALIFICATIONS The following qualifications are preferred and may be considered in selection or advancement decisions: Prior experience as a site lead, acting supervisor, or working supervisor. Completion of advanced security, supervisory, or leadership training. Familiarity with access control systems, CCTV, alarm monitoring, and incident management systems. Demonstrated ability to mentor or assist in training other officers. EOE/M/F/D/V #IND3", "summaryDescription" : "Utility Officer at Marksman Security LLC. Skills: Security coverage, Shift coverage, Operational support. Provide coverage for vacations. 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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" : 571.0621, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30a601f292fd229c12cef5", "title" : "Utility Worker", "company" : "Pyrotek", "industry" : "Mining And Metals", "salary" : { "min" : 20.0, "max" : 27.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Cortland, NY, United States", "locations" : [ "Cortland", "NY", "United States" ], "certifications" : [ "Industrial equipment certifications" ], "timestamp" : "2026-06-16T13:05:54.598", "fingerprint" : "5781eba91a79fbfa5719221b8819e6e9a22168cfdd04f24cdaad4f3d7627c9d6", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Pyrotek3/744000132233060-utility-worker", "externalId" : "744000132233060", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cortland", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.5842136,-76.0704906" } ], "locationText" : "Cortland, New York, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "Mechanical skills, Spatial reasoning, Heat conduction, Velocity, Force", "professionalSkills" : [ "Work orders", "Manual dexterity", "Mathematical skills", "Measurement calculations", "Spatial reasoning", "Cause and effect", "Sound judgement", "Effective resource use", "Prioritization", "Time management", "Organizational skills", "Problem definition", "Data collection", "Objective data", "Valid conclusion", "Word recognition", "Number recognition" ], "hardSkillsList" : [ "Hand tool use", "Power tool use", "Basic math", "Work material calculations" ], "hardSkills" : [ { "name" : "Hand tool use", "level" : "intermediate" }, { "name" : "Power tool use", "level" : "intermediate" }, { "name" : "Basic math", "level" : "intermediate" }, { "name" : "Work material calculations", "level" : "intermediate" } ], "majorSkills" : "Physical labor, Equipment tending, Facility cleaning, Routine maintenance", "majorSkillsList" : [ "Physical labor", "Equipment tending", "Facility cleaning", "Routine maintenance" ], "coreResponsibilities" : "Perform physical tasks, Tend to production equipment, Assist with preventative maintenance, Notify supervision of repairs, Notify supervision of safety hazards, Handle general maintenance, Perform housekeeping duties, Clean floors, Clean windows, Shampoo rugs, Wash walls, Paint walls, Remove rubbish, Shovel snow, Remove debris", "teamCollaboration" : "Collaborate with plant personnel; Collaborate with leadership", "domainKnowledge" : "High temperature materials", "domainList" : [ "high-temperature-materials" ], "domainSpecificKnowledge" : [ "High temperature materials" ], "toolProficiency" : [ "Forklift", "Man lift", "Scissor lift", "Overhead crane", "Electric pallet jack", "Calculator", "Personal computer" ], "communicationSkills" : "Speak clearly; Listen; Obtain clarification; Respond to questions", "problemSolvingSkills" : "Define problems; Collect data; Establish facts; Draw conclusions", "specialRequirements" : "Lift up to 50 pounds, Team lift up to 75 pounds, Work in loud noise, Work with moving parts, Work with fumes, Wear PPE", "qualificationsBasic" : "High School Diploma or GED/TASC, Ability to obtain industrial equipment certifications", "qualificationsPreferred" : "Prior experience in industrial manufacturing environment", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Who is Pyrotek? Pyrotek is the most successful global industrial company you’ve never heard of (until now). Pyrotek is a global leader in high temperature materials and our products impact virtually everyone in the developed world. Our global team has worked for decades to deliver new technologies, advanced engineered systems and innovative materials to customers in industries all over the world. Join our team and create, improve and innovate the everyday! Shift: 6:30 am - 3:00 pm The role of the Utility Worker is to support production and maintenance functions by performing a variety of tasks including physical labor, tending to production equipment, handling facility and grounds cleaning and housekeeping duties, conducting routine maintenance activities, and operating various industrial tools, machinery, and equipment to ensure a safe working environment and seamless manufacturing operations. Essential Functions/Responsibilities * Safely and efficiently perform various physical tasks, as needed. * Alertly tend to production equipment and assist with preventative maintenance tasks; notify supervision of need for repairs and any safety hazards that may exist. * Handle general maintenance and housekeeping duties, including but not limited to cleaning floors and windows, shampooing rugs, washing/painting walls, removing rubbish, shoveling snow from walkways, and removing debris from the facility grounds. * Safely and properly use various tools and equipment such as a forklift, personal man lift, scissor lift, overhead crane, and electric pallet jack. * Actively engage and collaborate with plant personnel and leadership to ensure seamless operations by presenting ideas and providing support. ## Qualifications Education/Experience * High School Diploma or General Education Development (GED) / Test Assessing Secondary Completion (TASC). * Prior experience in an industrial manufacturing environment, preferred. Knowledge/Skills/Abilities * Technical/Mechanical Skills. Ability to read and interpret basic drawings and work orders and follow directions. Ability to use hand operated and power tools and perform tasks with precision and manual dexterity. Working knowledge of spatial reasoning, cause and effect, heat conduction, velocity, gravity, and force. Basic mechanical and mathematical skills (addition, subtraction, multiplication, and division), and ability to apply form of measurement and other work material calculations utilizing a calculator. Ability to obtain and maintain industrial equipment certifications (e.g., cranes, forklift, and power jack). * Communication Skills. Ability to speak clearly and persuasively in positive or negative situations, listen and obtain clarification, and respond well to questions. * Computer/Applications Skills. Basic computer skills and ability to use a variety of software applications systems and scanning technology to clock in and out of jobs and track material usage. * Core Business Skills. Ability to exercise sound judgement and discretion in handling of proprietary and confidential information. Ability to work independently, without significant direction and to use resources effectively to complete the assigned task. Exceptional prioritization, time management and organizational skills. Ability to define problems, collect objective data, establish facts, and draw valid conclusion. Ability to read words and recognize similarities and differences between words and between series of numbers. Ability to read and understand documents such as policy manuals, safety rules, operating and maintenance instructions, and procedural manuals. Physical/Sensory Requirements The following physical activities described here are representative of those required by a Team Member to perform the essential functions of this position. Reasonable accommodation, if feasible, will be made to enable individuals with disabilities to perform the functions of position. While performing the functions of this position, the Team Member is continuously required to talk, hear, and see, regularly required to stand, walk, bend and reach, use hands and fingers to grasp, handle and feel, and perform repetitive hand movements. Frequently lift and/or move materials weighing up to 50 pounds, and occasionally team lift, maneuver/handle material weighing up to 75 pounds. Communicate effectively in English by telephone, in person and in writing. Effectively use a personal computer, basic calculator, and telephone. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus. Working Environment While performing the essential responsibilities of this position, Team Member generally will work in a manufacturing environment with frequent exposure to loud noise, moving mechanical parts, and fumes or airborne particles. Periodic exposure to outdoor environment through open doors. PPE (Personal Protective Equipment) such as approved footwear, respirators, safety glasses/goggles, required. ## Additional Information The minimum and maximum hourly range for this full-time position is $20.00 - $27.00 + benefits. Our salary ranges are determined by role, level and location. Within the range, individual pay is determined by work location and additional factors, including but not limited to job-related skills, experience, and relevant education and/or training. Please note that the compensation details listed in this posted role reflect the base salary only and do not include bonus or benefits. For a full summary of Pyrotek's benefit offerings, please click [HERE](https://c.smartrecruiters.com/sr-company-attachments-prod-aws-dc5/5cb60802cff47e00073fc23c/60475660-b313-423a-a0a5-bf10e10164c3?r=s3-eu-central-1). For a full job description, click [HERE](https://c.smartrecruiters.com/sr-company-attachments-prod-aws-dc5/5cb60802cff47e00073fc23c/e5cc9217-7f9a-4c73-8a0c-514181a012f5?r=s3-eu-central-1). $20.00 - $27.00 / hourly Pyrotek is an Equal Employment Opportunity Employer and does not discriminate on the basis of race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors. California residents please take a moment to review our [California Resident Applicant Data Collection Notice](https://www.pyrotek.com/assets/Documents-non-repository/CCPA-Notice-for-Applicants.pdf)", "summaryDescription" : "Utility Worker at Pyrotek. Skills: Physical labor, Equipment tending, Facility cleaning, Routine maintenance. Perform physical tasks. Tend to production equipment", "postedDate" : "2026-06-15T15:28:57.000", "createdAt" : "2026-06-16T03:37:02.549", "lastUpdated" : "2026-06-16T13:05:54.598", "ingestTimestamp" : "2026-06-16T03:37:02.549", "mongoId" : "6a30a601f292fd229c12cef5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 41600, "salaryAnnualMax" : 56160, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Hand tool use", "Power tool use", "Basic math", "Work material calculations", "Physical labor", "Equipment tending", "Facility cleaning", "Routine maintenance", "Work orders", "Manual dexterity", "Mathematical skills", "Measurement calculations", "Spatial reasoning", "Cause and effect", "Sound judgement", "Effective resource use", "Prioritization", "Time management", "Organizational skills", "Problem definition", "Data collection", "Objective data", "Valid conclusion", "Word recognition", "Number recognition", "High temperature materials", "Industrial equipment certifications", "Forklift", "Man lift", "Scissor lift", "Overhead crane", "Electric pallet jack", "Calculator", "Personal computer" ], "skillCount" : 34, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 570.81195, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "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" : 568.2913, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "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" : 551.08655, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Autonomous Driving" }, { "id" : "6a0a6a251663d49372cb5c13", "title" : "RN Utilization Manager (PRN)", "company" : "St. Tammany Health System", "industry" : "Healthcare", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for RN Utilization Manager in Covington, United States, adjusted for mid-seniority and healthcare industry." }, "location" : "Covington, LA", "locations" : [ "Covington, LA", "United States of America" ], "certifications" : [ "RN License" ], "timestamp" : "2026-06-15T23:52:45.400", "fingerprint" : "ba9216a7bdad5484ae255c4e8fbdae5984a96806c712472e551eb1165e7c4d85", "source" : "workday", "language" : "en", "applyUrl" : "https://stph.wd5.myworkdayjobs.com/STPH/job/Covington-LA/RN-Utilization-Manager--PRN-_R11700", "externalId" : "R11700", "industryFunction" : { }, "locationPoint" : "35.56425,-89.64647", "structuredLocations" : [ { "city" : "Covington", "state" : "Louisiana", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.4753525,-90.1010474" } ], "locationText" : "Covington, Louisiana, United States", "employmentType" : "PART_TIME", "minimumEducation" : "Associate's", "professionalSkills" : [ "Utilization review", "Case management", "Patient advocacy" ], "hardSkillsList" : [ "Medical necessity determination", "Insurance pre-authorization" ], "hardSkills" : [ { "name" : "Medical necessity determination", "level" : "intermediate" }, { "name" : "Insurance pre-authorization", "level" : "intermediate" } ], "majorSkills" : "Utilization review, Case management, Patient advocacy", "majorSkillsList" : [ "Utilization review", "Case management", "Patient advocacy" ], "coreResponsibilities" : "Review patient charts for medical necessity, Coordinate patient care transitions, Collaborate with physicians and healthcare teams, Ensure compliance with payer requirements, Document all utilization review activities, Identify opportunities for process improvement", "teamCollaboration" : "Physicians; Healthcare teams; Payer representatives", "domainKnowledge" : "Healthcare regulations; Insurance policies; Medical necessity criteria", "domainList" : [ "healthcare-regulations", "insurance-policies", "medical-necessity-criteria" ], "domainSpecificKnowledge" : [ "Healthcare regulations", "Insurance policies", "Medical necessity criteria" ], "toolProficiency" : [ "EHR systems" ], "communicationSkills" : "Patient communication; Physician communication", "documentationSkills" : "Clinical documentation", "problemSolvingSkills" : "Problem resolution", "outcomesObjectives" : "Ensure appropriate level of care; Facilitate timely discharge planning; Optimize resource utilization", "qualificationsBasic" : "RN license required, Associate's degree required, 2 years of experience in utilization review", "qualificationsPreferred" : "BSN preferred, Case management certification preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At St. Tammany Health System, delivering world-class healthcare close to home is our goal. That means we are committed to attracting and retaining the very best professionals for every position in our health system. We believe the pristine beauty of St. Tammany Parish adds to our attractive compensation package. The health system is nestled in the heart of Covington on the north shore of Lake Pontchartrain. It is a peaceful, scenic, community-oriented area with an abundance of amenities to suit every taste. **JOB DESCRIPTION AND POSITION REQUIREMENTS** Scheduled Weekly Hours: TBD **Work Shift:** 0800-1700 (flexible) **Summary of the Job:** The Utilization Manager is responsible to assist in the development, planning, coordination, and administration of the activities of Utilization Management. Job responsibilities include but are not limited to the following: daily review of medical records to determine appropriateness and medical necessity of admission, continued stay, use of resources, and discharge readiness. Assumes responsibilities delegated by the Department Head. **Minimum Qualifications:** Graduate of accredited school of Nursing and maintains current R.N. licensure by the Louisiana State Board of Nursing. Five years of hospital nursing experience preferred. Experience in the field of Utilization Management activities highly preferred. Basic understanding of CPT-ICD-9 coding principles and DRG management preferred. Graduate of accredited school of Nursing and maintains current R.N. licensure by the Louisiana State Board of Nursing. Ability to demonstrate effective written and verbal communication skills and possess emotional and professional maturity. Highly organized and efficient in establishing priorities and performing tasks within specific timeframes. Self-motivator requiring minimal supervision. Views problems as a challenge and investigates alternatives which demand creativity, flexibility and the ability to work under stress. Responsible for maintaining strict confidentiality of all verbal & written information and documents. Knowledgeable in the Utilization Management review process. **Physical Demands:** Must possess good physical health. Some requirements include but are not limited to standing, sitting or walking for long periods of time. Lifting at least 10 pounds is required. Physical Effort required: Constant (67%-100%) – seeing Frequently (34%-66%) - handling/feeling, talking, hearing Occasionally (1%-33%) – lifting, carrying, pushing/pulling, stooping, crouching, reaching **Contact Information:** Jennifer Saint, HR Talent Partner Talent Acquisition - Human Resources ### **EMPLOYMENT** Each St. Tammany Health System staff member is expected to conduct himself or herself according to our mission, vision and values. Please take time to review those expectations, which can be found **[b](https://www.sttammany.health/ourmission)[y clicking here](https://www.sttammany.health/ourmission)**, before applying for employment. If you feel you are unable to demonstrate those characteristics, we respectfully request that you do not proceed with the application process. **EQUAL OPPORTUNITY EMPLOYER** St. Tammany Health System is an Equal Opportunity Employer. St. Tammany Health System is committed to equal employment opportunity for all employees and applicants without regard to race, color, religion, sex, age, national origin or ancestry, citizenship, sexual orientation, gender identity, veteran status, disability status, genetic information or any other protected characteristic under applicable law.", "summaryDescription" : "RN Utilization Manager (PRN) at St. Tammany Health System. Skills: Utilization review, Case management, Patient advocacy. Review patient charts for medical necessity. Coordinate patient care transitions", "postedDate" : "2026-06-12T22:11:58.441", "createdAt" : "2026-06-14T22:11:58.432", "lastUpdated" : "2026-06-15T23:52:45.400", "ingestTimestamp" : "2026-06-14T22:11:58.432", "mongoId" : "6a0a6a251663d49372cb5c13", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://stph.wd5.myworkdayjobs.com/STPH/job/Covington-LA/RN-Utilization-Manager--PRN-_R11700", "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Medical necessity determination", "Insurance pre-authorization", "Utilization review", "Case management", "Patient advocacy", "Healthcare regulations", "Insurance policies", "Medical necessity criteria", "RN License", "EHR systems" ], "skillCount" : 10, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "manager", "dataQualityScore" : 0.8888889, "_score" : 549.34076, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "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" : 546.4735, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2ea09874d8ee00a0e417de", "title" : "Drone Innovation Center Manager", "company" : "Full Sail University", "industry" : "Education", "salary" : { "min" : 85000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in the Education industry in the United States, adjusted for company size and specific role responsibilities." }, "location" : "United States of America", "locations" : [ "United States of America" ], "timestamp" : "2026-06-16T03:59:50.589", "fingerprint" : "32c0131bc03079ff01443531051b5ca27ec0a27ed9ebe440107c00910babc648", "source" : "workday", "language" : "en", "applyUrl" : "https://fullsail.wd1.myworkdayjobs.com/External/job/Full-Sail/Drone-Innovation-Center-Manager_R00011404", "externalId" : "R00011404", "industryFunction" : { }, "locationPoint" : "51.43667,5.97917", "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "If you're looking for the chance to learn, grow, and make a contribution to the community, look at employment opportunities with Full Sail University. You'll find your choice of career opportunities, great benefits, an environment that welcomes and values creativity, and a work experience that is both challenging and rewarding! The Drone Innovation Center Manager is responsible for leading the operations, programming, and strategic development of Full Sail University's Drone Innovation Center. This position sits within the Emerging Technologies team, reports to the Executive Director of Emerging Technologies, and collaborates closely with faculty, academic leadership, industry partners, and cross-functional student teams to deliver an exceptional, hands-on learning environment. The Manager will oversee all aspects of facility operations, curriculum related projects, team leadership, and technology integration, ensuring the Center remains at the forefront of drone innovation in higher education. Essential Duties and Responsibilities: * Oversee daily operations of the Drone Innovation Center, including the following spaces: Advanced Airspace, Engineering & Manufacturing, Simulation & Programming, Communications, Remote Operations, and the Situation Room. * Collaborate with faculty and academic leadership across degree programs, including Simulation Engineering, Artificial Intelligence, Computer Science, Live Event Production, and other programs, to develop and implement drone-focused projects and experiences that align with program curriculum and learning outcomes. * Develop concepts, strategies, and project plans with clearly defined objectives, milestones, and deliverables for drone programming, competitions, demonstrations, and research initiatives. * Manage a multidisciplinary team that may include engineers, student assistants, and third-party contractors to design and execute high-quality drone projects and educational experiences. * Research, evaluate, and recommend emerging drone technologies, tools, software platforms, and workflows to keep the Center's capabilities current and cutting-edge. * Plan and manage drone events, races, tournaments, live demonstrations, and other public-facing activities hosted at or in partnership with the Center. * Support and advise the Full Sail Drone Club, fostering student engagement and cross-disciplinary collaboration. * Maintain and enforce safety protocols, FAA regulations, and university policies governing drone operation within the facility. * Manage inventory, maintenance schedules, and procurement of drones, components, and facility equipment. * Maintain and expand professional knowledge through ongoing training, certifications, and participation in industry events related to unmanned aerial systems (UAS), autonomous navigation, and drone technology. * Foster a collaborative, innovative, and inclusive environment that encourages experimentation and creative problem-solving. Other Responsibilities: * Adheres to the policies and procedures of Full Sail University. * Maintains strict confidentiality of student and company information. * Demonstrates a strong commitment to the mission and values of the organization. * Adheres to company attendance standards. * Performs other duties as assigned. Supervisory Responsibilities: ☒YES If YES, then the below applies in addition to those listed in Essential Duties and Responsibilities: * May oversee Federal Work Study students associated with the Spatial Computing Innovation Lab. * Recruits, interviews, hires, and trains staff in their department. * Oversees the schedules and responsibilities of staff in their department. * Provides constructive and timely staff performance evaluations. * Follows established guidelines for employee disciplinary action as determined by Full Sail policies and procedures. Competencies * Proven track record of managing technical facilities, programs, or cross-functional teams. * Strong organizational, analytical, interpersonal, and leadership skills with an ability to mentor both staff and students. * Excellent communication and presentation abilities, with experience engaging students, faculty, executives, industry partners, and the public. * Creative thinker with a passion for technology-driven innovation in education. * Comfortable operating, troubleshooting, and teaching with a wide range of drone hardware and software platforms. * Agile and adaptable in a fast-evolving technology landscape. * Strong time management and prioritization skills, with the ability to manage multiple concurrent projects and events. * Professional demeanor with a focus on service, safety, reliability, and excellence. * Commitment to maintaining a collaborative and inclusive facility culture. * Exceptional written and verbal communication skills. * Detail-oriented with a strong safety mindset. * Ability to interact professionally and constructively with students and staff at all levels in a dynamic, fast-paced environment. Education and/or Experience The ideal candidate is an organized, technically skilled professional with hands-on experience in unmanned aerial systems (UAS), drone engineering or operations, project management, and team coordination. They bring a balance of operational rigor, creative vision, and a genuine enthusiasm for immersive, technology-driven education. A Bachelor's degree in Computer Science, Simulation Engineering, Game Development, Digital Media, or a related field is required. Equivalent professional experience in drone operations, UAS program management, or a related discipline will be considered. Certificates, Licenses, Registrations · FAA Part 107 Remote Pilot Certificate (required or must be obtained within 90 days of hire) · Additional UAS certifications or advanced FAA credentials a plus Computer/Equipment Skills · Strong understanding of drone hardware platforms, flight controllers, and autonomous navigation systems. · Proficiency with drone simulation software (e.g., VelociDrone or similar platforms). · Experience with 3D printing, electronics assembly, or drone frame manufacturing preferred. · Familiarity with AI, computer vision, and programming as applied to drone systems. · Comfortable with live streaming, AV systems, and multimedia production tools as relevant to the Communications and Situation Room spaces. Environmental Factors/Physical Demands Work is performed in both an office and active facility environment. While performing the duties of this job, the employee may regularly interact with drone hardware, flight zones, manufacturing equipment, and AV systems. The employee must have the ability to maintain active communication with students, staff, and partners; access, input, and retrieve information from computer systems; and respond quickly in a dynamic lab setting. Subject to bending, reaching, kneeling, stooping, and lifting up to thirty (30) pounds. Full Sail is an Equal Opportunity Employer.", "summaryDescription" : "Drone Innovation Center Manager at Full Sail University", "postedDate" : "2026-06-11T21:06:47.788", "createdAt" : "2026-06-14T21:06:47.744", "lastUpdated" : "2026-06-16T03:59:50.589", "ingestTimestamp" : "2026-06-14T21:06:47.744", "mongoId" : "6a2ea09874d8ee00a0e417de", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://fullsail.wd1.myworkdayjobs.com/External/job/Full-Sail/Drone-Innovation-Center-Manager_R00011404", "salaryAnnualMin" : 85000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "manager", "dataQualityScore" : 0.8888889, "_score" : 542.7296, "daysOld" : 4, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2ca33d74d8ee00a09aae1a", "title" : "Utility Officer", "company" : "Walden Security", "salary" : { "min" : 20000.0, "max" : 20000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Orlando", "locations" : [ "Orlando" ], "timestamp" : "2026-06-16T04:01:26.452", "fingerprint" : "dce891a42dd6cd584c7976708acefd6d5db1e509f9d06c3fa87174d3fdf1e99f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/waldensecurity/jobs/5160385007", "externalId" : "5160385007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Orlando", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "28.5421218,-81.3790450" } ], "locationText" : "Orlando, Florida, United States", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning" ], "hardSkillsList" : [ "Operational metrics analysis" ], "hardSkills" : [ { "name" : "Operational metrics analysis", "level" : "intermediate" } ], "majorSkills" : "Process management, Continuous improvement", "majorSkillsList" : [ "Process management", "Continuous improvement" ], "coreResponsibilities" : "Manage daily operations, Oversee operational processes, Coordinate with cross-functional teams, Manage vendor relationships, Track and report on operational metrics, Plan and allocate resources, Identify and implement process improvements, Ensure compliance with company policies", "teamCollaboration" : "Cross-functional teams; Vendor relationships; Stakeholder engagement", "toolProficiency" : [ "Microsoft Office Suite" ], "qualificationsBasic" : "5+ years of experience in a similar role, Bachelor's degree in a relevant field, Proficiency in Microsoft Office Suite", "qualificationsPreferred" : "Master's degree in a relevant field, Experience with project management software, Knowledge of Lean Six Sigma principles", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Available Schedule: This is an on call position with no set schedule, this officer must be available 1st, 2nd, and 3rd shifts Summary: Guards industrial or commercial property against fire, theft, vandalism, and illegal entry by performing the following duties. Duties may include the following; other duties may be assigned by the Operations Manager or Branch General Manager: Must be able to travel between locations around Orlando and Tampa Trained and qualified to work multiple posts, in case of call-offs or vacations; Patrols, periodically, buildings and grounds of industrial plants or commercial establishments, docks, logging camp area, or work site; Patrols lobbies, corridors, and public rooms, confers with management, interviews guests and employees, and interrogates persons to detect infringements and investigate disturbances, complaints, thefts, vandalisms, and accidents; Patrols public areas to detect fires, unsafe conditions, and missing or inoperative safety equipment; Examines doors, windows, and gates to determine that they are secure; Performs and sets thermostatic controls to maintain specified temperatures in buildings or cold storage rooms; Registers at watch stations to record time of inspection trips; Inspects assigned areas and records data such as property damage, unusual occurrences, and malfunctioning of machinery or equipment, for use of supervisory staff; Watches for and reports irregularities such as fire hazards, leaking water pipes, and security doors left unlocked;• Warns violators of rule infractions, such as loitering, smoking, or carrying forbidden articles, and apprehends or expels persons engaging in suspicious or criminal acts; Notifies staff of presence of persons with questionable reputations; Permits authorized persons and regulate vehicle/pedestrian traffic at plant entrance to maintain orderly flow. Drives radio equipped car to through client's establishment, check alarms and locates sources of alarm; Sounds alarm or calls police or fire department by telephone in case of fire or presence of unauthorized persons;• Assists management and enforcement officers in emergency situations. Apprehends unauthorized persons found on property, using armed force if necessary, and releases them to custody of authorities. Contacts supervisor by radio or telephone to report irregularities and obtain further instructions. Writes investigation and automobile usage reports To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Must be available to work all schedules and shifts and be available to work on short notice for call-offs. Qualifications: High school diploma or general education degree (GED); or one to three months related experience and/or training; or equivalent combination of education and experience. Ability to read and comprehend simple instructions, short correspondence, and memos using the English language. Ability to write simple correspondence. Ability to effectively present information in one-on-one and small group situations to customers, clients, and other employees of the organization. Ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals. Ability to apply common sense understanding to carry out instructions furnished in written, oral, or diagram form. Ability to deal with problems involving several concrete variables in standardized situations. To perform this job successfully, an individual should have knowledge of Internet programs, Word Processing software and other software as required. Ability to pass a drug screen and criminal background check. Vehicle operators must be at least 25 years of age and have a driving record with no more than one moving violation. 2 years of CCTV experience required Must possess reliable transportation Valid Drivers' License Must possess both Florida State Security Class D Unarmed License and Class G Armed License The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this Job, the employee is regularly required to stand; walk; sit and talk or hear. The employee is frequently required to use hands to finger, handle, or feel. The employee is occasionally required to reach with hands and arms; climb or balance and stoop, kneel, crouch, or crawl. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, depth perception, ability to adjust focus and ability to see and distinguish basic colors Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. #SecurityOfficer Pay Rate $20—$20 USD We offer every employee — from executive managers to administrative support to security professionals — unique and generous benefits, as well as opportunities for career growth. So if you’re ready to embark on a meaningful career with one of the nation’s most dynamic and fastest growing security companies, apply with Walden Security today.", "summaryDescription" : "Utility Officer at Walden Security. Skills: Process management, Continuous improvement. Manage daily operations. Oversee operational processes", "postedDate" : "2026-06-14T21:48:48.518", "createdAt" : "2026-06-14T21:48:48.518", "lastUpdated" : "2026-06-16T04:01:26.452", "ingestTimestamp" : "2026-06-14T21:48:48.518", "mongoId" : "6a2ca33d74d8ee00a09aae1a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 20000, "salaryAnnualMax" : 20000, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Operational metrics analysis", "Process management", "Continuous improvement", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Microsoft Office Suite" ], "skillCount" : 8, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 536.9597, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Security", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6f5874d8ee00a09244c2", "title" : "Vessel Systems Installer -Rigger", "company" : "EagleCraft Boats Inc.", "industry" : "Maritime", "salary" : { "min" : 30.0, "max" : 36.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Campbell River, BC, Canada", "locations" : [ "Campbell River", "BC", "Canada" ], "certifications" : [ "ABYC certificate" ], "timestamp" : "2026-06-15T12:00:31.760", "fingerprint" : "ffeed646a6b44ffb776fb422fee401185c82367cf854a2ef0876a0915ff31a93", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/EagleCraftBoatsInc/744000131684439-vessel-systems-installer-rigger-full-time", "externalId" : "744000131684439", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Campbell River", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "50.0230710,-125.2441530" } ], "locationText" : "Campbell River, British Columbia, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "Marine Engines, Electrical systems, Fuel Systems, DC, AC, Gasoline, Diesel", "professionalSkills" : [ "Attention to detail" ], "hardSkillsList" : [ "Systems installation", "Marine Engine Installation", "Electrical System Installation", "Fuel System Installation", "Component Installation" ], "softSkillsList" : [ "Creative" ], "hardSkills" : [ { "name" : "Systems installation", "level" : "intermediate" }, { "name" : "Marine Engine Installation", "level" : "intermediate" }, { "name" : "Electrical System Installation", "level" : "intermediate" }, { "name" : "Fuel System Installation", "level" : "intermediate" }, { "name" : "Component Installation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Creative" } ], "majorSkills" : "Vessel Systems Installation, Rigger, Electrical Systems, Fuel Systems", "majorSkillsList" : [ "Vessel Systems Installation", "Rigger", "Electrical Systems", "Fuel Systems" ], "coreResponsibilities" : "Install systems into custom built vessels, Install Marine Engines, Install marine Electrical systems - DC and AC, Install Fuel Systems - Gasoline, Diesel, Install Components (pumps, motors, lighting, dashes, doors, seats)", "teamCollaboration" : "Part of a team", "domainKnowledge" : "Marine industry; Aluminum boats", "domainList" : [ "marine-industry", "aluminum-boats" ], "domainSpecificKnowledge" : [ "Marine industry", "Aluminum boats" ], "continuousLearning" : "Education opportunities", "qualificationsBasic" : "Mechanical Background Experience, 2-3 Years Auto Experience, 2-3 Years Marine Experience, Experience wiring electrical systems, DC & AC electrical systems", "qualificationsPreferred" : "ABYC certificate(s) a benefit", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Welcome to EagleCraft Boats! At our plant in beautiful Campbell River, British Columbia, our talented team of 25 full-time staff specializes in designing and building custom aluminum boats. Well represented across the globe, our company is proud to have built over 800 aluminum quality vessels ranging from pleasure crafts to commercial work boats. What you will do? * Install systems into our custom built vessels * Install Marine Engines * Install marine Electrical systems - DC and AC * Install Fuel Systems - Gasoline, Diesel, * Install Components (i.e. pumps, motors, lighting, dashes, doors, seats, etc.) ## Qualifications What you will need to succeed? * Mechanical Background Experience ( 2-3 Years of Auto or Marine Experience.) * Experience in wiring electrical systems both DC & AC * ABYC certificate(s) a benefit * Strong attention to detail * Ability to work independently and part of a team * Confident, highly motivated, creative and flexible At EagleCraft, we recognize and embrace the importance of values in our ever-changing workplace. To be successful, all applicants must demonstrate behaviours that are reflective of our values. ## Additional Information What's in it for you? * Year-round, full-time permanent work * Year-round indoor working conditions * Working alongside a great team of talented individuals * Building a world-class product * Opportunity for advancement * Family owned company * Fun work events (Christmas party, BBQ, Golf, etc.) * Competitive salary based on experience: $30- $36Hr. Higher pay range for marine industry experience. * Wage reviews are conducted after successful completion of the probationary period and annually after the first year of employment. * Every other Friday is a day off based on a 9hr day/9 day pay period * Extended benefits coverage * Employee Assistance Program * Employee purchase discount on marine materials * Education opportunities", "summaryDescription" : "Vessel Systems Installer -Rigger at EagleCraft Boats Inc.. Skills: Vessel Systems Installation, Rigger, Electrical Systems, Fuel Systems. Install systems into custom built vessels. Install Marine Engines", "postedDate" : "2026-06-11T14:03:29.000", "createdAt" : "2026-06-14T02:41:21.912", "lastUpdated" : "2026-06-15T12:00:31.760", "ingestTimestamp" : "2026-06-14T02:41:21.912", "mongoId" : "6a2c6f5874d8ee00a09244c2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Systems installation", "Marine Engine Installation", "Electrical System Installation", "Fuel System Installation", "Component Installation", "Creative", "Vessel Systems Installation", "Rigger", "Electrical Systems", "Fuel Systems", "Attention to detail", "Marine industry", "Aluminum boats", "ABYC certificate" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 534.99567, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2a6cf574d8ee00a0640dfe", "title" : "Clinical Specialist, Vessel Closure", "company" : "Abbott", "industry" : "Healthcare", "salary" : { "min" : 68000.0, "max" : 136000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "United States of America", "locations" : [ "United States of America" ], "timestamp" : "2026-06-13T21:57:13.568", "fingerprint" : "ed7e14632ad1e87bbb233f5f7c82f2fae4cee834fd42e246f4ae40f1fcd67ac2", "source" : "workday", "language" : "en", "applyUrl" : "https://abbott.wd5.myworkdayjobs.com/abbottcareers2/job/United-States---New-York---New-York/Clinical-Specialist--Vessel-Closure-in-NYC_31152437", "externalId" : "31152437", "industryFunction" : { }, "locationPoint" : "51.43667,5.97917", "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, "professionalSkills" : [ "Product expert", "Sales support", "Clinical education", "Sales goals", "Market share" ], "hardSkillsList" : [ "Case planning", "Product pull-through", "Product demonstrations", "Troubleshooting", "Customer service" ], "hardSkills" : [ { "name" : "Case planning", "level" : "intermediate" }, { "name" : "Product pull-through", "level" : "intermediate" }, { "name" : "Product demonstrations", "level" : "intermediate" }, { "name" : "Troubleshooting", "level" : "intermediate" }, { "name" : "Customer service", "level" : "intermediate" } ], "majorSkills" : "Vessel Closure, Sales, Clinical Support", "majorSkillsList" : [ "Vessel Closure", "Sales", "Clinical Support" ], "coreResponsibilities" : "Provide case planning, Provide case support coverage, Provide product pull-through, Promote Vascular products, Educate customers, Provide service, Provide training, Assist in achieving sales goals, Increase sales revenues, Increase market share, Serve as technical expert, Support Vessel Closure portfolio, Meet with customers, Identify clinical needs, Discuss Vascular products, Develop relationships, Make new contacts, Identify key decision makers, Serve as primary resource, Provide clinical support, Provide troubleshooting, Provide in-service education, Educate customers on merits, Educate customers on usage, Give presentations, Give demonstrations, Attend clinical procedures, Ensure customer success, Ensure patient success, Respond to customer needs, Respond to customer complaints, Develop creative solutions, Develop feasible solutions, Work with personnel, Develop optimal solutions, Support the broader Region", "teamCollaboration" : "Work with sales personnel; Work with clinical research; Work with marketing; Work with product development", "domainKnowledge" : "Vascular disease; Vascular products; Vessel Closure devices", "domainList" : [ "vascular-disease", "vascular-products", "vessel-closure-devices" ], "domainSpecificKnowledge" : [ "Vascular disease", "Vascular products", "Vessel Closure devices" ], "communicationSkills" : "Presentations; Demonstrations", "problemSolvingSkills" : "Troubleshooting; Creative solutions; Feasible solutions; Optimal solutions", "specialRequirements" : "Travel 50%", "outcomesObjectives" : "Achieve projected sales goals; Increase sales revenues; Increase market share", "qualificationsBasic" : "Bachelor's degree or equivalent, 2-5+ years of related work experience, Ability to travel 50%", "qualificationsPreferred" : "Patient interaction experience, Relevant Technical Certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries. ## **JOB DESCRIPTION:** This is a field-based position, supporting Abbott’s Vascular division. Abbott Vascular provides innovative, minimally invasive and cost-effective products for treatment of vascular disease. Our extensive portfolio includes drug-eluting stents, guide wires, balloon dilatation catheters, imaging catheters and software, vessel closure devices, peripheral stents, thrombectomy catheters and atherectomy devices. We currently have an opportunity for a **Clinical Specialist, Vessel Closure, in New York City, NY.** The Clinical Specialist will primarily be responsible for case planning, case support coverage, and product pull- through throughout the designated territory, and throughout the Region as needed. The Clinical Specialist will promote Vascular products through education, service and training of customers in the hospital setting. The Clinical Specialist will provide clinical education and sales support in order to assist in achieving projected sales goals, increasing sales revenues within assigned product lines, and increasing market share. This position will have a heavy focus on Vessel Closure. **What You’ll Work On** * Serves as the technical procedure and product expert in support of case coverage in the hospital * Focuses on Electrophysiologists and Interventional Cardiologists and hospital staff to support the complete Vessel Closure portfolio including small and large bore arterial, venous, and future product * Meet with existing and potential customers (e.g., physicians, physician office groups at hospitals) to identify their clinical needs, goals, and constraints related to patient care and to discuss and demonstrate how Vascular products can help them to achieve their goals. * Develop relationships with hospital personnel; make new contacts in hospital departments; identify key decision * Serve as primary resource for clinical support in case coverage, troubleshooting and in-service education for company * Educate customers on the merits and proper clinical usage of company products by giving presentations and demonstrations using a wide variety of formats and platforms (e.g., slides, transparencies, manuals) to keep all customers abreast of the latest product, therapy, and technology developments and current items of interest in the * Attend clinical procedures in the Cardiac Cath Lab, Interventional Radiology Lab, and Operating Room to ensure customer and patient success with Vascular * Respond to customer needs and complaints regarding products and service by developing creative and feasible solutions or working with other related personnel (e.g., sales, clinical research, marketing, product development) to develop optimal solutions. * Support the broader Region as needed with case support in addition to defined **Required Qualifications** * Bachelor’s degree or equivalent combination of education and experience * 2-5+ years of related work experience * Ability to travel 50% within assigned region **** **Preferred**** Qualifications** * Patient interaction experience within a lab/operating room environment * Relevant Technical Certification **** **The base pay for this position is** $68,000.00 – $136,000.00 In specific locations, the pay range may vary from the range posted. ## **JOB FAMILY:** Sales Force ## **DIVISION:** AVD Vascular ## **LOCATION:** United States of America : Remote ## **ADDITIONAL LOCATIONS:** ## **WORK SHIFT:** Standard ## **TRAVEL:** Yes, 50 % of the Time ## **MEDICAL SURVEILLANCE:** Not Applicable ## **SIGNIFICANT WORK ACTIVITIES:** Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Continuous standing for prolonged periods (more than 2 consecutive hours in an 8 hour day), Continuous walking for prolonged periods (more than 2 hours at a time in an 8 hour day), Driving a personal auto or company car or truck, or a powered piece of material handling equipment, Keyboard use (greater or equal to 50% of the workday) Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans. EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdf EEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf", "summaryDescription" : "Clinical Specialist, Vessel Closure at Abbott. Skills: Vessel Closure, Sales, Clinical Support. Provide case planning. Provide case support coverage", "postedDate" : "2026-06-11T17:32:10.307", "createdAt" : "2026-06-11T17:32:10.251", "lastUpdated" : "2026-06-13T21:57:13.568", "ingestTimestamp" : "2026-06-11T17:32:10.251", "mongoId" : "6a2a6cf574d8ee00a0640dfe", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://abbott.wd5.myworkdayjobs.com/abbottcareers2/job/United-States---New-York---New-York/Clinical-Specialist--Vessel-Closure-in-NYC_31152437", "salaryAnnualMin" : 68000, "salaryAnnualMax" : 136000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Case planning", "Product pull-through", "Product demonstrations", "Troubleshooting", "Customer service", "Vessel Closure", "Sales", "Clinical Support", "Product expert", "Sales support", "Clinical education", "Sales goals", "Market share", "Vascular disease", "Vascular products", "Vessel Closure devices" ], "skillCount" : 16, "jobCategory" : "other", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 532.10065, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare" }, { "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" : 524.6767, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "69cf26132beec4dd3d90b5dd", "title" : "Utilization Management Educator- Case Management Admin", "company" : "Tampa General Hospital", "industry" : "Healthcare", "salary" : { "min" : 105500.0, "max" : 158500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in Healthcare in Tampa, FL, adjusted for company size and industry." }, "location" : "United States-Florida-Tampa", "locations" : [ "United States-Florida-Tampa", "
TGH Main Campus (TGHMAIN)
1 Tampa General Circle

Tampa, 33601

" ], "certifications" : [ "Active RN license" ], "timestamp" : "2026-06-15T09:36:12.394", "fingerprint" : "dae7ddaf2a1079071892ab8ea08b2b80e54aad5de47be0cc59d45e7096e6946d", "source" : "taleo", "language" : "en", "applyUrl" : "https://tgh.taleo.net/careersection/ex/jobdetail.ftl?job=672623", "externalId" : "672623", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tampa", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "27.9449854,-82.4583107" } ], "locationText" : "Tampa, Florida, United States", "minimumEducation" : "Bachelor's", "technicalSkills" : "Microsoft Office", "professionalSkills" : [ "Adult learning principles", "Evidence-based practice", "Human performance improvement", "Organizational development consulting" ], "hardSkillsList" : [ "Clinical review", "Data auditing", "Staff performance monitoring", "Regulatory compliance", "Payer mandates", "Patient status assessment", "Clinical criteria assessment", "Education impact evaluation", "Learning function management", "Staff coaching", "Career planning", "Talent management", "Organizational knowledge management", "Workflow optimization" ], "hardSkills" : [ { "name" : "Clinical review", "level" : "intermediate" }, { "name" : "Data auditing", "level" : "intermediate" }, { "name" : "Staff performance monitoring", "level" : "intermediate" }, { "name" : "Regulatory compliance", "level" : "intermediate" }, { "name" : "Payer mandates", "level" : "intermediate" }, { "name" : "Patient status assessment", "level" : "intermediate" }, { "name" : "Clinical criteria assessment", "level" : "intermediate" }, { "name" : "Education impact evaluation", "level" : "intermediate" }, { "name" : "Learning function management", "level" : "intermediate" }, { "name" : "Staff coaching", "level" : "intermediate" }, { "name" : "Career planning", "level" : "intermediate" }, { "name" : "Talent management", "level" : "intermediate" }, { "name" : "Organizational knowledge management", "level" : "intermediate" }, { "name" : "Workflow optimization", "level" : "intermediate" } ], "majorSkills" : "Utilization Management, Case Management, Education Design, RN Training", "majorSkillsList" : [ "Utilization Management", "Case Management", "Education Design", "RN Training" ], "coreResponsibilities" : "Design education projects, Plan education projects, Manage education projects, Manage formal orientation programs, Deliver training, Facilitate departmental change, Perform clinical review hours, Audit data, Monitor staff performance, Measure education impact, Evaluate education impact, Evaluate regulatory compliance, Contribute to human performance improvement, Participate in learning function management, Lead programs, Lead workgroups, Provide organizational development consulting, Identify workflow optimization opportunities, Identify UM function optimization opportunities", "teamCollaboration" : "Internal organizational development", "projectManagementSkills" : [ "Education project management" ], "domainKnowledge" : "Utilization Management; Case Management; Adult learning principles; Evidence-based practice; Regulatory mandates; Payer mandates; Patient status; Clinical criteria", "domainList" : [ "utilization-management", "case-management", "adult-learning-principles", "evidence-based-practice", "regulatory-mandates", "payer-mandates", "patient-status", "clinical-criteria" ], "domainSpecificKnowledge" : [ "Utilization Management", "Case Management", "Adult learning principles", "Evidence-based practice", "Regulatory mandates", "Payer mandates", "Patient status", "Clinical criteria" ], "toolProficiency" : [ "Microsoft Word", "Microsoft Excel", "Microsoft PowerPoint" ], "communicationSkills" : "Speak English clearly; Write English clearly; Read English clearly", "problemSolvingSkills" : "Optimize workflows", "outcomesObjectives" : "Align education goals with business needs; Align education goals with identified strategies", "qualificationsBasic" : "Bachelor's Degree in Nursing, Active RN license, Read, write, speak English", "qualificationsPreferred" : "Microsoft Access knowledge, Microsoft Project knowledge, Microsoft Publisher knowledge, Microsoft Front Page knowledge, Experience within Utilization Review", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Under general supervision of Director Utilization Management, designs, plans, and manages education projects and formal orientation programs for Utilization Management RNs. Follows established policies, procedures, professional guidelines, adult learning principles, and evidence-based practice to align education goals with business needs and identified strategies of Tampa General Hospital. Designs learning, delivers training, and facilitates departmental change. Performs other duties as assigned to include 8 clinical review hours, per quarter. Responsible for performing job duties in accordance with the mission, vision and values of Tampa General Hospital. Audits data and monitors staff performance related to ongoing utilization and regulatory/payer mandates to assure compliance and appropriate patient status per clinical criteria. Measures and evaluates the impact/outcomes of education and regulatory compliance, and contributes to the improvement of human performance. Participates in management of the learning function, staff coaching, career planning, talent management, and managing organizational knowledge. Leads programs or workgroups and provides internal organizational development consulting. Identifies opportunities to optimize workflows and related UM functions. Bachelor's Degree in Nursing or related field Active RN license in the state of Florida Strong communication skills with ability to read, write and speak English clearly and distinctly. Knowledge of Microsoft Office applications including Word, Excel, and PowerPoint required. Knowledge of Microsoft Access, Project, Publisher, and Front Page desired. Experience within Utilization Review. Flexibility in responding to multiple demands. Strong organizational and time management skills Tampa", "summaryDescription" : "Utilization Management Educator- Case Management Admin at Tampa General Hospital. Skills: Utilization Management, Case Management, Education Design, RN Training. Design education projects. Plan education projects", "createdAt" : "2026-06-14T02:04:26.774", "lastUpdated" : "2026-06-15T09:36:12.394", "ingestTimestamp" : "2026-06-14T02:04:26.774", "mongoId" : "69cf26132beec4dd3d90b5dd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 105500, "salaryAnnualMax" : 158500, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Clinical review", "Data auditing", "Staff performance monitoring", "Regulatory compliance", "Payer mandates", "Patient status assessment", "Clinical criteria assessment", "Education impact evaluation", "Learning function management", "Staff coaching", "Career planning", "Talent management", "Organizational knowledge management", "Workflow optimization", "Utilization Management", "Case Management", "Education Design", "RN Training", "Adult learning principles", "Evidence-based practice", "Human performance improvement", "Organizational development consulting", "Education project management", "Regulatory mandates", "Patient status", "Clinical criteria", "Active RN license", "Microsoft Word", "Microsoft Excel", "Microsoft PowerPoint" ], "skillCount" : 30, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Manager", "dataQualityScore" : 0.6666667, "_score" : 523.82477, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2c7a9d74d8ee00a0946144", "title" : "Senior Engineering Manager, Kernel and Virt", "company" : "DigitalOcean", "location" : "Bay Area Metro", "locations" : [ "Bay Area Metro" ], "timestamp" : "2026-06-15T10:02:43.162", "fingerprint" : "5bb7be7aa22074b21c0238ff5fd092838185c6747eb85b8ea477e08a5e764e82", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.digitalocean.com/careers/position/apply/?gh_jid=7749108", "externalId" : "7749108", "industryFunction" : { }, "structuredLocations" : [ { "state" : "California", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Kubernetes, AI", "professionalSkills" : [ "Kernel and Virt" ], "hardSkillsList" : [ "Kubernetes", "AI" ], "softSkillsList" : [ "growth mindset" ], "hardSkills" : [ { "name" : "Kubernetes", "level" : "intermediate" }, { "name" : "AI", "level" : "intermediate" } ], "softSkills" : [ { "name" : "growth mindset" } ], "majorSkills" : "Team Leadership, Kubernetes, AI infrastructure, GPU utilization", "majorSkillsList" : [ "Team Leadership, Kubernetes, AI infrastructure, GPU utilization" ], "coreResponsibilities" : "Lead our Inference Orchestration team, driving the strategy, execution, and scaling of our Kubernetes-based AI infrastructure. Responsible for balancing business needs with technical excellence, ensuring high throughput, optimal GPU utilization, and robust fault tolerance for our next-generation disaggregated inference, fine-tuning, and training workloads.", "teamCollaboration" : "We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.", "problemSolvingSkills" : "system design", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world. We are seeking a Senior Engineering Manager to lead our Inference Orchestration team, driving the strategy, execution, and scaling of our Kubernetes-based AI infrastructure. You will be responsible for balancing business needs with technical excellence, ensuring high throughput, optimal GPU utilization, and robust fault tolerance for our next-generation disaggregated inference, fine-tuning, and training workloads. What You'll Do: Team Leadership bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.", "summaryDescription" : "Senior Engineering Manager, Kernel and Virt at DigitalOcean. Skills: Team Leadership, Kubernetes, AI infrastructure, GPU utilization. Lead our Inference Orchestration team, driving the strategy, execution, and scaling of our Kubernetes-based AI infrastructure. Responsible for balancing business needs with technical excellence, ensuring high throughput, optimal GPU utilization, and robust fault tolerance for our next-generation disaggregated inference, fine-tuning, and training workloads.", "postedDate" : "2026-06-14T18:35:25.101", "createdAt" : "2026-06-14T18:35:25.101", "lastUpdated" : "2026-06-15T10:02:43.162", "ingestTimestamp" : "2026-06-14T18:35:25.101", "mongoId" : "6a2c7a9d74d8ee00a0946144", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Kubernetes", "AI", "growth mindset", "Team Leadership, Kubernetes, AI infrastructure, GPU utilization", "Kernel and Virt" ], "skillCount" : 5, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 523.06683, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6f5874d8ee00a09244c6", "title" : "Marine Vessel Cabinet Maker", "company" : "EagleCraft Boats Inc.", "industry" : "Maritime", "salary" : { "min" : 28.0, "max" : 38.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Campbell River, BC, Canada", "locations" : [ "Campbell River", "BC", "Canada" ], "certifications" : [ "Ticketed cabinet maker" ], "timestamp" : "2026-06-16T06:42:40.087", "fingerprint" : "0a61de2c424510ee1a31b30941634fe08ebe42df906bfbd0996c86f31f60c7d1", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/EagleCraftBoatsInc/744000131684009--marine-vessel-cabinet-maker-joinery-", "externalId" : "744000131684009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Campbell River", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "50.0230710,-125.2441530" } ], "locationText" : "Campbell River, British Columbia, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "hardSkillsList" : [ "Woodworking", "Joinery", "Cabinet making" ], "hardSkills" : [ { "name" : "Woodworking", "level" : "intermediate" }, { "name" : "Joinery", "level" : "intermediate" }, { "name" : "Cabinet making", "level" : "intermediate" } ], "majorSkills" : "Cabinet installation, Marine interiors", "majorSkillsList" : [ "Cabinet installation", "Marine interiors" ], "coreResponsibilities" : "Woodworking on marine interiors, Building cabinets, Installing cabinets, Using laminate material, Joinery with trims", "teamCollaboration" : "Team environment", "domainKnowledge" : "Marine industry", "domainList" : [ "marine-industry" ], "domainSpecificKnowledge" : [ "Marine industry" ], "toolProficiency" : [ "Wood working tools" ], "communicationSkills" : "Communication skills", "problemSolvingSkills" : "Problem solving skills", "specialRequirements" : "18+ years of age, Legally authorized to work, Manual dexterity required", "qualificationsBasic" : "2-3 years experience in building cabinets, Experience with wood working tools, Ability to follow instructions, Excellent organizational skills, Excellent communication skills, Thrive in a team environment", "qualificationsPreferred" : "Ticketed cabinet maker", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Welcome to EagleCraft Boats! At our plant in beautiful Campbell River, British Columbia, our talented team of 25 full-time staff specializes in designing and building custom aluminum boats. Well represented across the globe, our company is proud to have built over 800 aluminum quality vessels ranging from pleasure crafts to commercial work boats. What will you do? * Woodworking on marine interiors * Building and installing cabinets * Using laminate material and joinery with trims ## Qualifications What do you need to succeed? * 2-3 years experience in building cabinets * Experience with wood working tools * Problem solving skills * Ability to follow instructions * Must possess excellent organizational, & communication skills. * Must thrive in a team environment. * Ticketed cabinet maker preferred. ## Additional Information What is in it for you * Year-round, full-time permanent work; * Working alongside a great team of talented individuals; * Building a world-class product; * Opportunity for advancement; * Family owned company; * Fun work events (Christmas Party, BBQ, Golf , etc.); * Compensation range based on experience; $28.00- 38.00 hr. Higher pay range for experienced wood workers in marine industry. * Wage reviews are conducted after successful completion of the probationary period and annually after the first year of employment; * Extended Benefits Coverage; * Employee Assistant Programs; * Employee Purchase Discount on Marine materials; * Paid Holidays and Vacation; * Education Opportunities; * Boating Experiences. Working Conditions * 18+ years of age and legally authorized to work in Canada; * Work is performed in an office adjacent to a metal manufacturing environment; * Noise level is occasionally moderate. Manual dexterity is required to use computer, phone, and peripherals; * While performing the duties of this job, the employee is regularly required to sit or stand. The employee is occasionally required to stoop, kneel, or crouch; * Noticeable pressure from deadlines, production quotas, accuracy or similar demands exists.", "summaryDescription" : "Marine Vessel Cabinet Maker at EagleCraft Boats Inc.. Skills: Cabinet installation, Marine interiors. Woodworking on marine interiors. Building cabinets", "postedDate" : "2026-06-11T14:01:41.000", "createdAt" : "2026-06-14T19:04:07.715", "lastUpdated" : "2026-06-16T06:42:40.087", "ingestTimestamp" : "2026-06-14T19:04:07.715", "mongoId" : "6a2c6f5874d8ee00a09244c6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Woodworking", "Joinery", "Cabinet making", "Cabinet installation", "Marine interiors", "Marine industry", "Ticketed cabinet maker", "Wood working tools" ], "skillCount" : 8, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 521.9602, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a612674d8ee00a0621356", "title" : "Clinical Specialist, Vessel Closure", "company" : "Abbott", "industry" : "Healthcare", "salary" : { "min" : 68000.0, "max" : 136000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "United States of America", "locations" : [ "United States of America" ], "timestamp" : "2026-06-12T20:52:52.074", "fingerprint" : "227b95911b87b51014f133eee5c389b6b08421f770d86d1e12ee35cabd2b1dc1", "source" : "workday", "language" : "en", "applyUrl" : "https://abbott.wd5.myworkdayjobs.com/abbottcareers/job/United-States---New-York---New-York/Clinical-Specialist--Vessel-Closure-in-NYC_31152437-1", "externalId" : "31152437", "industryFunction" : { }, "locationPoint" : "51.43667,5.97917", "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, "professionalSkills" : [ "Vessel Closure portfolio", "Product education", "Sales support" ], "hardSkillsList" : [ "Case planning", "Product pull-through", "Clinical education", "Sales presentations", "Product demonstrations", "Troubleshooting", "Customer service" ], "hardSkills" : [ { "name" : "Case planning", "level" : "intermediate" }, { "name" : "Product pull-through", "level" : "intermediate" }, { "name" : "Clinical education", "level" : "intermediate" }, { "name" : "Sales presentations", "level" : "intermediate" }, { "name" : "Product demonstrations", "level" : "intermediate" }, { "name" : "Troubleshooting", "level" : "intermediate" }, { "name" : "Customer service", "level" : "intermediate" } ], "majorSkills" : "Vessel Closure, Clinical support, Sales goals", "majorSkillsList" : [ "Vessel Closure", "Clinical support", "Sales goals" ], "coreResponsibilities" : "Provide case planning, Provide case support coverage, Provide product pull-through, Promote Vascular products, Educate customers, Provide service, Provide training, Assist in achieving sales goals, Increase sales revenues, Increase market share, Serve as technical expert, Support Vessel Closure portfolio, Meet with customers, Identify clinical needs, Discuss Vascular products, Develop relationships, Make new contacts, Identify key decision makers, Serve as primary resource, Provide clinical support, Provide troubleshooting, Provide in-service education, Educate customers on merits, Educate customers on usage, Give presentations, Give demonstrations, Attend clinical procedures, Ensure customer success, Ensure patient success, Respond to customer needs, Respond to complaints, Develop creative solutions, Develop feasible solutions, Work with personnel, Develop optimal solutions, Support the Region", "teamCollaboration" : "Sales; Clinical research; Marketing; Product development", "domainKnowledge" : "Vascular disease; Vascular products; Cardiac Cath Lab; Interventional Radiology Lab; Operating Room", "domainList" : [ "vascular-disease", "vascular-products", "cardiac-cath-lab", "interventional-radiology-lab", "operating-room" ], "domainSpecificKnowledge" : [ "Vascular disease", "Vascular products", "Cardiac Cath Lab", "Interventional Radiology Lab", "Operating Room" ], "communicationSkills" : "Presentations; Demonstrations", "problemSolvingSkills" : "Troubleshooting; Creative solutions; Feasible solutions; Optimal solutions", "specialRequirements" : "Travel 50%", "outcomesObjectives" : "Achieve projected sales goals; Increase sales revenues; Increase market share", "qualificationsBasic" : "Bachelor's degree or equivalent, 2-5+ years of related work experience, Ability to travel 50%", "qualificationsPreferred" : "Patient interaction experience, Relevant Technical Certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries. ## **JOB DESCRIPTION:** This is a field-based position, supporting Abbott’s Vascular division. Abbott Vascular provides innovative, minimally invasive and cost-effective products for treatment of vascular disease. Our extensive portfolio includes drug-eluting stents, guide wires, balloon dilatation catheters, imaging catheters and software, vessel closure devices, peripheral stents, thrombectomy catheters and atherectomy devices. We currently have an opportunity for a **Clinical Specialist, Vessel Closure, in New York City, NY.** The Clinical Specialist will primarily be responsible for case planning, case support coverage, and product pull- through throughout the designated territory, and throughout the Region as needed. The Clinical Specialist will promote Vascular products through education, service and training of customers in the hospital setting. The Clinical Specialist will provide clinical education and sales support in order to assist in achieving projected sales goals, increasing sales revenues within assigned product lines, and increasing market share. This position will have a heavy focus on Vessel Closure. **What You’ll Work On** * Serves as the technical procedure and product expert in support of case coverage in the hospital * Focuses on Electrophysiologists and Interventional Cardiologists and hospital staff to support the complete Vessel Closure portfolio including small and large bore arterial, venous, and future product * Meet with existing and potential customers (e.g., physicians, physician office groups at hospitals) to identify their clinical needs, goals, and constraints related to patient care and to discuss and demonstrate how Vascular products can help them to achieve their goals. * Develop relationships with hospital personnel; make new contacts in hospital departments; identify key decision * Serve as primary resource for clinical support in case coverage, troubleshooting and in-service education for company * Educate customers on the merits and proper clinical usage of company products by giving presentations and demonstrations using a wide variety of formats and platforms (e.g., slides, transparencies, manuals) to keep all customers abreast of the latest product, therapy, and technology developments and current items of interest in the * Attend clinical procedures in the Cardiac Cath Lab, Interventional Radiology Lab, and Operating Room to ensure customer and patient success with Vascular * Respond to customer needs and complaints regarding products and service by developing creative and feasible solutions or working with other related personnel (e.g., sales, clinical research, marketing, product development) to develop optimal solutions. * Support the broader Region as needed with case support in addition to defined **Required Qualifications** * Bachelor’s degree or equivalent combination of education and experience * 2-5+ years of related work experience * Ability to travel 50% within assigned region **** **Preferred**** Qualifications** * Patient interaction experience within a lab/operating room environment * Relevant Technical Certification **** **The base pay for this position is** $68,000.00 – $136,000.00 In specific locations, the pay range may vary from the range posted. ## **JOB FAMILY:** Sales Force ## **DIVISION:** AVD Vascular ## **LOCATION:** United States of America : Remote ## **ADDITIONAL LOCATIONS:** ## **WORK SHIFT:** Standard ## **TRAVEL:** Yes, 50 % of the Time ## **MEDICAL SURVEILLANCE:** Not Applicable ## **SIGNIFICANT WORK ACTIVITIES:** Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Continuous standing for prolonged periods (more than 2 consecutive hours in an 8 hour day), Continuous walking for prolonged periods (more than 2 hours at a time in an 8 hour day), Driving a personal auto or company car or truck, or a powered piece of material handling equipment, Keyboard use (greater or equal to 50% of the workday) Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans. EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdf EEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf", "summaryDescription" : "Clinical Specialist, Vessel Closure at Abbott. Skills: Vessel Closure, Clinical support, Sales goals. Provide case planning. Provide case support coverage", "postedDate" : "2026-06-11T14:00:55.929", "createdAt" : "2026-06-11T14:00:55.707", "lastUpdated" : "2026-06-12T20:52:52.074", "ingestTimestamp" : "2026-06-11T14:00:55.707", "mongoId" : "6a2a612674d8ee00a0621356", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://abbott.wd5.myworkdayjobs.com/abbottcareers/job/United-States---New-York---New-York/Clinical-Specialist--Vessel-Closure-in-NYC_31152437-1", "salaryAnnualMin" : 68000, "salaryAnnualMax" : 136000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Case planning", "Product pull-through", "Clinical education", "Sales presentations", "Product demonstrations", "Troubleshooting", "Customer service", "Vessel Closure", "Clinical support", "Sales goals", "Vessel Closure portfolio", "Product education", "Sales support", "Vascular disease", "Vascular products", "Cardiac Cath Lab", "Interventional Radiology Lab", "Operating Room" ], "skillCount" : 18, "jobCategory" : "other", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 521.9091, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare" }, { "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" : 521.22296, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Autonomous Vehicle Logistics" }, { "id" : "6a30693cf292fd229cfc76ec", "title" : "Dry Utilities Manager", "company" : "Timmons Group", "industry" : "Civil Engineering", "salary" : { "min" : 105000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Ashburn, VA, United States", "locations" : [ "Ashburn", "VA", "United States" ], "timestamp" : "2026-06-16T08:29:28.495", "fingerprint" : "b31557d66ffe6b2ee78a834219aff3aedd302c21e3a07e72a9bf19bd7902f191", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/TimmonsGroup1/744000132282589-dry-utilities-manager", "externalId" : "744000132282589", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Ashburn", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.0297840,-77.4744148" } ], "locationText" : "Ashburn, Virginia, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "remoteFriendly" : false, "rawDescription" : "Timmons Group is currently seeking a Dry Utilities Manager to join our Ashburn, VA office location. Civil engineering experience and dry utility construction experience preferred. The qualified candidate must be able to perform all aspects of dry utility plan preparation and permit procurement. The qualified candidate must be able to successfully manage all aspects of dry utility plan preparation and permit procurement. This would include preparation of specifications, calculations, evaluations, design documents, cost estimates, and budgets associated with the planning, design, permitting, and construction of dry utility systems (power, gas, telecommunications) primarily within the NOVA/DC area. The candidate must also be able to oversee the permit process with the local utilities, and provide consultation and recommendations regarding dry utility systems, processes, equipment, facilities, and construction methods to the developer. Essential duties and Responsibilities of a successful candidate include but are not limited to: * Design portions of a project using relevant office software, modeling and Civil 3D technology * Complete calculations using engineering formulas and skills and/or utilizes computers in order to solve problems * Prepare specifications materials through the use of research and manufacturing catalogs to specify materials, installation, inspection and payment of items specific to a project * Work to complete design details and plan sets related to dry utilities * Perform research and write objective summary reports which are used in the completion of the project work or inspection * Assist in the preparation of engineer and construction cost estimates * Coordinate between utility owners, developers, and internal staff * Complete field observation, inspection and data collection duties as directed by senior engineering staff * Complete other tasks as assigned Skills/Requirements of a successful candidate include but are not limited to: * A bachelor's or master's degree in Civil Engineering or a closely related degree strongly preferred * Ideal candidates would have 5 plus years of experience in Land Development civil engineering including urban and dry utility system design as well as commercial and mixed-use development * Proficiency with AutoCAD Civil 3D is a must * Project management experience, including application and plan oversight, and permit procurement * Broad knowledge and experience with local regulations, guides, standards, codes methods, practices, and engineering principles * Strong teamwork and interpersonal skills * Strong written and oral communication skills * General knowledge of VDOT, DDOT and MDOT Right of Way requirements * Knowledge of Dominion Energy, PSNC, Piedmont Natural Gas, Frontier Natural Gas, water and sewer utilities, cable service providers and their regulations and approval processes. * Good understanding of construction practices related to dry utility installation and relocations Compensation: Our best estimate of the salary range for this position is $105,000-$135,000. Offers are based on a range of job-related factors such as internal equity, experience, skills, education, credentials and role complexity. ## Additional Information The requirements listed are representative of the knowledge, skills and/or abilities required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. We are looking for high energy, creative, flexible, patient, self-starters who are willing to work at a dynamic pace. Candidates must share a commitment to our company’s Vision, Mission and Shared Values. Timmons Group is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, or protected Veteran status. Timmons Group is a full-service engineering and technology firm recognized nationally as a “Best Firm to Work For” by CE News. With 21 offices throughout the Mid-Atlantic and Southeast, we provide civil engineering, environmental, economic development, GIS/geospatial technology, landscape architecture, and surveying services to a diverse client base. As one of Engineering News Record’s (ENR) Top 500 Design Firms for over 30 years, we are dedicated to being an employer of choice and providing our people with the best resources, technology, and culture to help them thrive in an engaging career development setting. For more information, visit [www.timmons.com](http://www.timmons.com/). #LI-CC1", "summaryDescription" : "Dry Utilities Manager at Timmons Group", "postedDate" : "2026-06-15T20:41:38.000", "createdAt" : "2026-06-15T23:57:45.198", "lastUpdated" : "2026-06-16T08:29:28.495", "ingestTimestamp" : "2026-06-15T23:57:45.198", "mongoId" : "6a30693cf292fd229cfc76ec", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 105000, "salaryAnnualMax" : 135000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 517.87415, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Engineering", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30652af292fd229cfa5bbf", "title" : "Dry Utilities Manager", "company" : "Timmons Group", "industry" : "Civil Engineering", "salary" : { "min" : 105000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Ashburn, VA, United States", "locations" : [ "Ashburn", "VA", "United States" ], "timestamp" : "2026-06-16T11:24:29.284", "fingerprint" : "92a4fc9d7de8047c38002c942a62fff9f84df3582e6b2987846abb1495bc9072", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/TimmonsGroup1/744000132282589-dry-utilities-manager", "externalId" : "744000132282589", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Ashburn", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.0297840,-77.4744148" } ], "locationText" : "Ashburn, Virginia, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "remoteFriendly" : false, "rawDescription" : "Timmons Group is currently seeking a Dry Utilities Manager to join our Ashburn, VA office location. Civil engineering experience and dry utility construction experience preferred. The qualified candidate must be able to perform all aspects of dry utility plan preparation and permit procurement. The qualified candidate must be able to successfully manage all aspects of dry utility plan preparation and permit procurement. This would include preparation of specifications, calculations, evaluations, design documents, cost estimates, and budgets associated with the planning, design, permitting, and construction of dry utility systems (power, gas, telecommunications) primarily within the NOVA/DC area. The candidate must also be able to oversee the permit process with the local utilities, and provide consultation and recommendations regarding dry utility systems, processes, equipment, facilities, and construction methods to the developer. Essential duties and Responsibilities of a successful candidate include but are not limited to: * Design portions of a project using relevant office software, modeling and Civil 3D technology * Complete calculations using engineering formulas and skills and/or utilizes computers in order to solve problems * Prepare specifications materials through the use of research and manufacturing catalogs to specify materials, installation, inspection and payment of items specific to a project * Work to complete design details and plan sets related to dry utilities * Perform research and write objective summary reports which are used in the completion of the project work or inspection * Assist in the preparation of engineer and construction cost estimates * Coordinate between utility owners, developers, and internal staff * Complete field observation, inspection and data collection duties as directed by senior engineering staff * Complete other tasks as assigned Skills/Requirements of a successful candidate include but are not limited to: * A bachelor's or master's degree in Civil Engineering or a closely related degree strongly preferred * Ideal candidates would have 5 plus years of experience in Land Development civil engineering including urban and dry utility system design as well as commercial and mixed-use development * Proficiency with AutoCAD Civil 3D is a must * Project management experience, including application and plan oversight, and permit procurement * Broad knowledge and experience with local regulations, guides, standards, codes methods, practices, and engineering principles * Strong teamwork and interpersonal skills * Strong written and oral communication skills * General knowledge of VDOT, DDOT and MDOT Right of Way requirements * Knowledge of Dominion Energy, PSNC, Piedmont Natural Gas, Frontier Natural Gas, water and sewer utilities, cable service providers and their regulations and approval processes. * Good understanding of construction practices related to dry utility installation and relocations Compensation: Our best estimate of the salary range for this position is $105,000-$135,000. Offers are based on a range of job-related factors such as internal equity, experience, skills, education, credentials and role complexity. ## Additional Information The requirements listed are representative of the knowledge, skills and/or abilities required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. We are looking for high energy, creative, flexible, patient, self-starters who are willing to work at a dynamic pace. Candidates must share a commitment to our company’s Vision, Mission and Shared Values. Timmons Group is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, or protected Veteran status. Timmons Group is a full-service engineering and technology firm recognized nationally as a “Best Firm to Work For” by CE News. With 21 offices throughout the Mid-Atlantic and Southeast, we provide civil engineering, environmental, economic development, GIS/geospatial technology, landscape architecture, and surveying services to a diverse client base. As one of Engineering News Record’s (ENR) Top 500 Design Firms for over 30 years, we are dedicated to being an employer of choice and providing our people with the best resources, technology, and culture to help them thrive in an engaging career development setting. For more information, visit [www.timmons.com](http://www.timmons.com/). #LI-CC1", "summaryDescription" : "Dry Utilities Manager at Timmons Group", "postedDate" : "2026-06-15T20:41:38.000", "createdAt" : "2026-06-15T23:57:33.436", "lastUpdated" : "2026-06-16T11:24:29.284", "ingestTimestamp" : "2026-06-15T23:57:33.436", "mongoId" : "6a30652af292fd229cfa5bbf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 105000, "salaryAnnualMax" : 135000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 517.87415, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Engineering", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30693cf292fd229cfc76ee", "title" : "Dry Utilities Manager", "company" : "Timmons Group", "industry" : "Civil Engineering", "salary" : { "min" : 110000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Washington, DC, United States", "locations" : [ "Washington", "DC", "United States" ], "timestamp" : "2026-06-16T11:54:27.511", "fingerprint" : "814f5fba0ca34614b63f7bdae07985221817229326754f2284cfe30395b7b370", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/TimmonsGroup1/744000132282269-dry-utilities-manager", "externalId" : "744000132282269", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Washington", "state" : "District of Columbia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8950982,-77.0363849" } ], "locationText" : "Washington, District of Columbia, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "remoteFriendly" : false, "rawDescription" : "Timmons Group is currently seeking a Dry Utilities Manager to join our Washington, DC office location. Civil engineering experience and dry utility construction experience preferred. The qualified candidate must be able to perform all aspects of dry utility plan preparation and permit procurement. The qualified candidate must be able to successfully manage all aspects of dry utility plan preparation and permit procurement. This would include preparation of specifications, calculations, evaluations, design documents, cost estimates, and budgets associated with the planning, design, permitting, and construction of dry utility systems (power, gas, telecommunications) primarily within the DC/MD/NOVA area. The candidate must also be able to oversee the permit process with the local utilities, and provide consultation and recommendations regarding dry utility systems, processes, equipment, facilities, and construction methods to the developer. Essential duties and Responsibilities of a successful candidate include but are not limited to: * Design portions of a project using relevant office software, modeling and Civil 3D technology * Complete calculations using engineering formulas and skills and/or utilizes computers in order to solve problems * Prepare specifications materials through the use of research and manufacturing catalogs to specify materials, installation, inspection and payment of items specific to a project * Work to complete design details and plan sets related to dry utilities * Perform research and write objective summary reports which are used in the completion of the project work or inspection * Assist in the preparation of engineer and construction cost estimates * Coordinate between utility owners, developers, and internal staff * Complete field observation, inspection and data collection duties as directed by senior engineering staff * Complete other tasks as assigned Skills/Requirements of a successful candidate include but are not limited to: * A bachelor's or master's degree in Civil Engineering or a closely related degree strongly preferred * Ideal candidates would have 5 plus years of experience in Land Development civil engineering including urban and dry utility system design as well as commercial and mixed-use development * Proficiency with AutoCAD Civil 3D is a must * Project management experience, including application and plan oversight, and permit procurement * Broad knowledge and experience with local regulations, guides, standards, codes methods, practices, and engineering principles * Strong teamwork and interpersonal skills * Strong written and oral communication skills * General knowledge of MDOT, DDOT and VDOT Right of Way requirements * Knowledge of Duke Energy, Dominion Energy, PSNC, Piedmont Natural Gas, Frontier Natural Gas, NC water and sewer utilities, cable service providers and their regulations and approval processes. * Good understanding of construction practices related to dry utility installation and relocations Compensation: Our best estimate of the salary range for this position is $110,000-$135,000. Offers are based on a range of job-related factors such as internal equity, experience, skills, education, credentials and role complexity. ## Additional Information The requirements listed are representative of the knowledge, skills and/or abilities required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. We are looking for high energy, creative, flexible, patient, self-starters who are willing to work at a dynamic pace. Candidates must share a commitment to our company’s Vision, Mission and Shared Values. Timmons Group is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, or protected Veteran status. Timmons Group is a full-service engineering and technology firm recognized nationally as a “Best Firm to Work For” by CE News. With 21 offices throughout the Mid-Atlantic and Southeast, we provide civil engineering, environmental, economic development, GIS/geospatial technology, landscape architecture, and surveying services to a diverse client base. As one of Engineering News Record’s (ENR) Top 500 Design Firms for over 30 years, we are dedicated to being an employer of choice and providing our people with the best resources, technology, and culture to help them thrive in an engaging career development setting. 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Civil engineering experience and dry utility construction experience preferred. The qualified candidate must be able to perform all aspects of dry utility plan preparation and permit procurement. The qualified candidate must be able to successfully manage all aspects of dry utility plan preparation and permit procurement. This would include preparation of specifications, calculations, evaluations, design documents, cost estimates, and budgets associated with the planning, design, permitting, and construction of dry utility systems (power, gas, telecommunications) primarily within the DC/MD/NOVA area. The candidate must also be able to oversee the permit process with the local utilities, and provide consultation and recommendations regarding dry utility systems, processes, equipment, facilities, and construction methods to the developer. Essential duties and Responsibilities of a successful candidate include but are not limited to: * Design portions of a project using relevant office software, modeling and Civil 3D technology * Complete calculations using engineering formulas and skills and/or utilizes computers in order to solve problems * Prepare specifications materials through the use of research and manufacturing catalogs to specify materials, installation, inspection and payment of items specific to a project * Work to complete design details and plan sets related to dry utilities * Perform research and write objective summary reports which are used in the completion of the project work or inspection * Assist in the preparation of engineer and construction cost estimates * Coordinate between utility owners, developers, and internal staff * Complete field observation, inspection and data collection duties as directed by senior engineering staff * Complete other tasks as assigned Skills/Requirements of a successful candidate include but are not limited to: * A bachelor's or master's degree in Civil Engineering or a closely related degree strongly preferred * Ideal candidates would have 5 plus years of experience in Land Development civil engineering including urban and dry utility system design as well as commercial and mixed-use development * Proficiency with AutoCAD Civil 3D is a must * Project management experience, including application and plan oversight, and permit procurement * Broad knowledge and experience with local regulations, guides, standards, codes methods, practices, and engineering principles * Strong teamwork and interpersonal skills * Strong written and oral communication skills * General knowledge of MDOT, DDOT and VDOT Right of Way requirements * Knowledge of Duke Energy, Dominion Energy, PSNC, Piedmont Natural Gas, Frontier Natural Gas, NC water and sewer utilities, cable service providers and their regulations and approval processes. * Good understanding of construction practices related to dry utility installation and relocations Compensation: Our best estimate of the salary range for this position is $110,000-$135,000. Offers are based on a range of job-related factors such as internal equity, experience, skills, education, credentials and role complexity. ## Additional Information The requirements listed are representative of the knowledge, skills and/or abilities required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. We are looking for high energy, creative, flexible, patient, self-starters who are willing to work at a dynamic pace. Candidates must share a commitment to our company’s Vision, Mission and Shared Values. Timmons Group is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, or protected Veteran status. Timmons Group is a full-service engineering and technology firm recognized nationally as a “Best Firm to Work For” by CE News. With 21 offices throughout the Mid-Atlantic and Southeast, we provide civil engineering, environmental, economic development, GIS/geospatial technology, landscape architecture, and surveying services to a diverse client base. As one of Engineering News Record’s (ENR) Top 500 Design Firms for over 30 years, we are dedicated to being an employer of choice and providing our people with the best resources, technology, and culture to help them thrive in an engaging career development setting. 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3250000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Technical Lead in Manufacturing in Gurgaon, India, adjusted for company size and seniority." }, "location" : "Gurgaon, HARYANA, IN", "locations" : [ "Gurgaon", "HARYANA", "IN" ], "timestamp" : "2026-06-16T10:20:39.738", "fingerprint" : "039d8e6d757fac04dc90e90a5a1fa437aefb4de8e302785cc5c958eacc301b4c", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Aumovio/744000132116199-utility-technical-lead-", "externalId" : "744000132116199", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Gurgaon", "state" : "Haryana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "28.4646148,77.0299194" } ], "locationText" : "Gurgaon, Haryana, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Compressed air system, Cooling tower, Chilled water systems, HVAC, Water treatment, RO, DM, Electrical systems, Transformers, DG, Panels, UPS, Servo, LT, HT, Open Access, IoT, SCADA, BMS", "professionalSkills" : [ "System optimization", "Energy optimization", "System integration", "Automation", "Utilities design", "System balancing", "Reliability planning", "Chemical dosing strategy", "Effluent management", "Reuse strategies", "Reliability engineering", "Lifecycle costing", "Project management", "ROI evaluation", "Supplier technical validation", "Digital transformation", "Data-driven optimization", "Predictive analytics" ], "hardSkillsList" : [ "Heat load calculations", "Air balancing", "Water chemistry", "TDS optimization", "PH optimization", "Load calculations", "DG synchronization", "Power factor control", "Vibration analysis", "Thermography", "Condition monitoring", "Trend analysis", "Electrical safety", "Pressure systems", "Chemical 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"intermediate" }, { "name" : "Electrical safety", "level" : "intermediate" }, { "name" : "Pressure systems", "level" : "intermediate" }, { "name" : "Chemical handling", "level" : "intermediate" }, { "name" : "Compressor sizing", "level" : "intermediate" }, { "name" : "Piping networks", "level" : "intermediate" }, { "name" : "Pressure drop calculations", "level" : "intermediate" }, { "name" : "Chiller selection", "level" : "intermediate" }, { "name" : "Cooling tower selection", "level" : "intermediate" }, { "name" : "HT systems", "level" : "intermediate" }, { "name" : "LT systems", "level" : "intermediate" }, { "name" : "Corrosion control", "level" : "intermediate" }, { "name" : "Scaling control", "level" : "intermediate" }, { "name" : "Bio-control", "level" : "intermediate" }, { "name" : "FMEA", "level" : "intermediate" }, { "name" : "RCM", "level" : "intermediate" }, { "name" : "Capex planning", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Utility operations, Maintenance engineering, Government liaison, Energy management", "majorSkillsList" : [ "Utility operations", "Maintenance engineering", "Government liaison", "Energy management" ], "coreResponsibilities" : "Lead utility planning, Lead utility operation, Lead utility optimization, Lead statutory compliance, Ensure 100% utility availability, Drive uptime improvement, Drive system stabilization, Monitor critical parameters, Implement control strategies, Own maintenance planning, Own predictive maintenance, Own condition-based maintenance, Lead RCA, Improve MTBF, Reduce repeat failures, Manage compressed air systems, Manage cooling towers, Manage chilled water systems, Manage HVAC systems, Manage air handling units, Manage water treatment, Manage electrical systems, Drive energy efficiency roadmap, Optimize consumption, Reduce utility costs, Lead sustainability initiatives, Act as contact with authorities, Manage licenses, Manage renewals, Manage statutory documentation, Manage inspections, Manage audits, Manage compliance closure, Manage environmental reporting, Obtain approvals for installations, Ensure zero regulatory non-compliance, Ensure ESH standards compliance, Implement LOTO, Implement PTW, Implement confined space practices, Support ESH audits, Support zero-incident culture, Support sustainability initiatives, Manage vendors, Manage AMC contracts, Manage CMC contracts, Manage service providers, Validate technical solutions, Validate execution quality, Ensure cost compliance, Ensure safety compliance, Develop utility dashboards, Develop KPIs, Implement IoT monitoring, Implement automated monitoring, Drive data-driven decision making, Lead capex projects, Lead utility improvement projects, Drive Six Sigma initiatives, Drive Kaizen initiatives, Support plant expansion projects, Support infrastructure projects, Ensure workplace environmental conditions, Support facility maintenance, Support future expansion planning", "teamCollaboration" : "Coordination with authorities; Coordination with production; Coordination with facility; Coordination with HR; Coordination with ESH; Coordination with projects; Coordination with finance; Coordination with test labs", "projectManagementSkills" : [ "Capex planning", "ROI evaluation", "Supplier technical validation" ], "domainKnowledge" : "Utility system fundamentals; Water chemistry; Electrical systems; Maintenance systems; Safety systems; Pollution Control Board norms; Electrical Inspectorate norms; Waste Management norms; Fire & Safety norms; Municipal Water Authority norms; Boiler laws", "domainList" : [ "utility-system-fundamentals", "water-chemistry", "electrical-systems", "maintenance-systems", "safety-systems", "pollution-control-board-norms", "electrical-inspectorate-norms", "waste-management-norms", "fire-safety-norms", "municipal-water-authority-norms", "boiler-laws" ], "domainSpecificKnowledge" : [ "Utility system fundamentals", "Water chemistry", "Electrical systems", "Maintenance systems", "Safety systems", "Pollution Control Board norms", "Electrical Inspectorate norms", "Waste Management norms", "Fire & Safety norms", "Municipal Water Authority norms", "Boiler laws" ], "toolProficiency" : [ "Six Sigma", "Kaizen" ], "documentationSkills" : "Statutory documentation; Environmental reporting", "problemSolvingSkills" : "Root cause analysis; 5 Why analysis; Fishbone analysis; FMEA; A3 Analysis; Leak analysis; Pressure optimization; Heat load calculations; Air balancing; Scaling control; Dosing control; TDS optimization; PH optimization; Power factor control; Vibration analysis; Thermography; Condition monitoring; Trend analysis; Load flow concepts; Reliability planning; Corrosion control; Scaling control; Bio-control; Effluent management; Reuse strategies; Reliability centered maintenance; Lifecycle costing; Predictive analytics", "outcomesObjectives" : "Zero impact on production; Improve MTBF; Reduce repeat failures; Reduce costs; Ensure zero regulatory non-compliance risk; Zero major NC", "qualificationsBasic" : "10-12 years in plant utilities/maintenance, Independent utility management experience, Government liaison & statutory compliance experience, Energy / cost optimization experience, BE/ B. Tech in Electrical / Mechanical", "qualificationsPreferred" : "Certifications for Electrical Safety Handling, Certifications for ESH Governance", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "\uD83D\uDD39 Role Purpose Lead the planning, operation, optimization, and statutory compliance of all plant utilities while ensuring high reliability, cost efficiency, sustainability, and seamless coordination with government authorities. \uD83D\uDD39 Key Responsibilities 1. Utility Operations & Reliability Leadership * Ensure 100% utility availability with zero impact on production * Drive uptime improvement actions and system stabilization * Monitor critical parameters and implement control strategies 2. Maintenance & Reliability Engineering * Own Preventive, Predictive, and Condition-Based Maintenance (CBM) * Lead advanced RCA (5 Why, Fishbone, FMEA, A3 Analysis) * Improve MTBF and reduce repeat failures 3. Utility Systems Ownership End-to-end responsibility for: * Compressed Air Systems * Cooling Towers & Chilled Water Systems * HVAC & Ventilation, Air Handling Units * Water Treatment (RO, DM, Softener, Chemical dosing) * Electrical Systems (Transformers, DG, Panels, UPS, Servo, LT /HT, Open Access) 4. Energy Management & Sustainability * Drive plant energy efficiency roadmap * Optimize consumption (kWh, Nm³, KL) and reduce costs * Lead sustainability initiatives (water reuse, energy reduction, decarbonization) 5. Government Liaison & Statutory Compliance * Act as single point of contact with authorities : * Pollution Control Board * Electrical Inspectorate (DHBVN) * HSPCB, Waste Management * Fire & Safety Department * Local Municipal / Water Authorities- HSIDC * Manage: * Licenses, renewals, and statutory documentation * Inspections, audits, and compliance closure * Environmental reporting (water discharge, emissions) * Obtain approvals for new installations / expansions * Ensure zero regulatory non-compliance risk 6. ESH Governance * Ensure compliance with ESH standards and regulatory norms * Implement LOTO, PTW, confined space practices * Support ESH audits and zero-incident culture * Support Sustainability initiatives along with ESH team. 7. Vendor & Contract Management * Manage vendors, AMC/ CMC contracts, and service providers * Validate technical solutions and execution quality * Ensure cost and safety compliance 8. Digitalization & Monitoring * Develop utility dashboards and KPIs * Implement IoT / automated monitoring systems * Drive data-driven decision making 9. Projects & Continuous Improvement * Lead capex and utility improvement projects * Drive Six Sigma / Kaizen initiatives * Support plant expansion and infrastructure projects 10. Facility & Infrastructure Support * Ensure proper workplace environmental conditions * Support facility maintenance and future expansion planning \uD83D\uDD39 Technical Knowledge Requirement (Advanced & Expert Level) ✅ Advanced Level Knowledge (Must Have) * Utility system fundamentals: * Compressed air system design, leak analysis, pressure optimization * Cooling tower performance, heat load calculations * HVAC load calculations and air balancing * Water chemistry & treatment: * RO/DM operations, scaling, dosing control, TDS/pH optimization * Electrical systems: * Load calculations, DG synchronization basics, power factor control * Maintenance systems: * Preventive & predictive maintenance planning * Basic vibration, thermography, and condition monitoring * Data analysis: * Trend analysis of utility consumption and performance * Safety systems: * Electrical safety, pressure systems, chemical handling ✅ Expert Level Knowledge (Should Know) Advanced system optimization: Energy optimization (specific energy reduction: kWh/Nm³, kW/TR) * System integration & automation (BMS / SCADA / IoT-based monitoring) * Utilities design & sizing: * Compressor sizing, piping networks, pressure drop calculations * Chiller & cooling tower selection and system balancing * Advanced electrical knowledge: * Load flow concepts, HT/LT systems, reliability planning * Water treatment expertise: * Chemical dosing strategy (corrosion, scaling, bio-control) * Effluent management and reuse strategies * Reliability engineering: * FMEA, RCM (Reliability Centered Maintenance), lifecycle costing * Regulatory expertise: * Deep understanding of statutory norms (PCB, electricity, boiler laws) * Project management: * Capex planning, ROI evaluation, supplier technical validation * Digital transformation: * Data-driven optimization using dashboards & predictive analytics \uD83D\uDD39 Key KPIs * Utility uptime (%) * Corrective & Preventive Maintenance Cost * Spare Part Management * Energy consumption per unit * Water consumption per unit * Cost savings (₹ and %) * MTBF / MTTR * Statutory compliance score (100%) * Audit observations (zero major NC) * Sustainability metrics (water reuse %, energy reduction %) ## Qualifications \uD83D\uDD39 Education * BE/ B. 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Section Lead, Autonomous Driving Toolchain & Platform

Utility Worker

Autonomous Vehicle Test Driver

Machine Learning Engineer II - Autonomous Driving Performance Evaluation

RN Utilization Manager (PRN)

Applied Scientist II, Sponsored Products Autonomous Campaigns

Drone Innovation Center Manager

Utility Officer

Vessel Systems Installer -Rigger

Clinical Specialist, Vessel Closure

Intern Uncertainty Estimation for End-to-End Autonomous Driving

Utilization Management Educator- Case Management Admin

Senior Engineering Manager, Kernel and Virt

Marine Vessel Cabinet Maker

Clinical Specialist, Vessel Closure

Autonomous Vehicle Engineer (Mechanical)

Dry Utilities Manager

Dry Utilities Manager

Dry Utilities Manager

Dry Utilities Manager

Utility - Technical Lead

Common Questions