{ "count" : 34106, "data" : [ { "id" : "6a2c934074d8ee00a0987b55", "title" : "Manager, Algorithms", "company" : "Ōura", "industry" : "Technology", "salary" : { "min" : 175000.0, "max" : 245000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager, Algorithms in San Diego, United States, adjusted for industry and company size." }, "location" : "San Diego, CA, United States", "locations" : [ "San Diego", "CA", "United States" ], "timestamp" : "2026-06-15T08:42:00.540", "fingerprint" : "35613b65d77d8057d399bdb16120e0b22ced7b508f2f97def5da898de14415fa", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/oura/jobs/4147285009", "externalId" : "4147285009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Diego", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "32.7174202,-117.1627720" } ], "locationText" : "San Diego, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Algorithms, Python, Git, Code review, Testing, Reproducibility", "professionalSkills" : [ "Algorithm strategy", "Execution", "Technical goals", "Milestones", "Success metrics", "Feasibility evaluation", "Prototype evaluation", "Performance evaluation", "Sensing requirements", "Design decisions", "Priority alignment", "Dependency management", "Progress communication", "Risk communication", "Tradeoff communication", "Technical depth", "Scientific standards", "Process improvement", "Infrastructure improvement", "Analysis pipelines", "Evaluation frameworks", "Documentation", "Stakeholder management" ], "hardSkillsList" : [ "Signal processing", "Statistical evaluation", "Filtering", "Artifact handling", "Modeling approaches", "Performance characterization" ], "softSkillsList" : [ "Leadership", "Coaching", "Mentoring" ], "hardSkills" : [ { "name" : "Signal processing", "level" : "intermediate" }, { "name" : "Statistical evaluation", "level" : "intermediate" }, { "name" : "Filtering", "level" : "intermediate" }, { "name" : "Artifact handling", "level" : "intermediate" }, { "name" : "Modeling approaches", "level" : "intermediate" }, { "name" : "Performance characterization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Coaching" }, { "name" : "Mentoring" } ], "majorSkills" : "Algorithm development, People leadership, Time-series data, Signal processing", "majorSkillsList" : [ "Algorithm development", "People leadership", "Time-series data", "Signal processing" ], "coreResponsibilities" : "Lead and grow team, Advance health sensing, Set direction, Coach team members, Ensure delivery, Ensure technical quality, Drive algorithm strategy, Drive algorithm execution, Translate needs to goals, Own algorithm development, Evaluate feasibility, Evaluate prototypes, Partner with hardware, Partner with firmware, Shape sensing requirements, Understand constraints, Influence design decisions, Improve algorithm performance, Coordinate cross-functionally, Align priorities, Manage dependencies, Communicate progress, Communicate risks, Communicate tradeoffs, Maintain technical depth, Review methods, Review results, Unblock problems, Uphold standards, Enable team ownership, Scale team leverage, Improve processes, Improve infrastructure", "teamCollaboration" : "Cross-functional teams; Hardware teams; Firmware teams; Product teams; Program management; Globally distributed teams; Finnish teams", "projectManagementSkills" : [ "Milestones", "Dependencies" ], "domainKnowledge" : "Health sensing; Sensor time-series data; Signal processing; Biomedical engineering; Electrical engineering; Neural engineering; Biostatistics", "domainList" : [ "health-sensing", "sensor-time-series-data", "signal-processing", "biomedical-engineering", "electrical-engineering", "neural-engineering", "biostatistics" ], "domainSpecificKnowledge" : [ "Health sensing", "Sensor time-series data", "Signal processing", "Biomedical engineering", "Electrical engineering", "Neural engineering", "Biostatistics" ], "toolProficiency" : [ "Git" ], "communicationSkills" : "Stakeholder management; Crisp narratives", "documentationSkills" : "Documentation", "problemSolvingSkills" : "Complex problems", "specialRequirements" : "Three days in office, Early morning meetings", "outcomesObjectives" : "Deliver accurate algorithms; Deliver resilient algorithms; Deliver real-world algorithms", "qualificationsBasic" : "PhD or MS degree, Demonstrated people leadership, 5+ years algorithm development, Time-series/signal processing, Statistical evaluation foundation, Python programming fluency, Modern collaboration practices, Excellent communication skills, Stakeholder management skills, Pragmatic, delivery-focused mindset, Flexible schedule, Async communication skills", "qualificationsPreferred" : "Relevant industry experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped over one million people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. We are looking for a Manager, Algorithms to lead a team creating new health sensing algorithms that power future Oura experiences. You’ll set direction, build strong execution habits, and partner across hardware, firmware, and product to deliver algorithms that are accurate, resilient, and ready for real-world use. This is a hybrid role based in San Diego, CA, requiring at least three days in office (at our Carmel Mountain location) per week. What you will do: Lead and grow a team of algorithm scientists advancing Oura’s next generation health sensing capabilities: setting direction, coaching, and ensuring strong delivery and technical quality Drive algorithm strategy and execution for new sensing programs: translate product and program needs into clear technical goals, milestones, and success metrics Own end-to-end algorithm development from early feasibility and prototype evaluation through feature-ready performance Partner deeply with hardware and firmware teams to shape sensing requirements, understand constraints, and influence design decisions to improve real-world algorithm performance Coordinate cross-functionally with product, program management and other stakeholders to align priorities, manage dependencies, and communicate progress, risks, and tradeoffs Maintain technical depth as a leader: review methods and results, unblock complex problems, and uphold strong engineering/scientific standards, while enabling the team to own implementation details Scale team leverage by improving processes and infrastructure (reusable analysis pipelines, evaluation frameworks, documentation, etc) Requirements We would love to have you on our team if you have: PhD in biomedical engineering, electrical engineering, neural engineering, biostatistics, computer science or related field; or MS with significant relevant industry experience Demonstrated people leadership experience managing and developing technical teams (scientists/engineers/data scientists), including hiring, coaching, performance management, and team execution 5+ years of experience developing and productizing algorithms in a cross-functional environment, ideally involving sensor time-series data Solid foundation in time-series/signal processing and statistical evaluation, with the ability to guide technical choices and ensure rigor (filtering, artifact handling, modeling approaches, performance characterization, etc) Experience collaborating with hardware/firmware partners on prototype-to-product development; comfort operating with real-world constraints and imperfect early data Strong programming fluency in Python, plus modern collaboration practices (git, code review, testing, reproducibility) Excellent communication and stakeholder management skills: you can align globally distributed teams, make tradeoffs clear, and drive decisions with crisp narratives A pragmatic, delivery-focused mindset: you prioritize effectively, build team leverage, and create clarity in ambiguity Flexible schedule and strong async communication skills to work with Oura’s Finnish teams (early morning meetings two to three times a week) Benefits At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health. What we offer: Competitive salary and equity packages Health, dental, vision insurance, and mental health resources An Oura Ring of your own plus employee discounts for friends & family 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off Paid sick leave and parental leave Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. San Diego area $173,000- $200,000 A recruiter can determine your zones/tiers based on your US location. We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), Vermont (VT), West Virginia (WV), and Wisconsin (WI) Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of fake job offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: Our jobs are listed only on the ŌURA Careers page and trusted job boards. We will never ask for personal information like ID or payment for equipment upfront. Official offers are sent through Docusign after a verbal offer, not via text or email. Stay cautious and protect your personal details. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.", "summaryDescription" : "Manager, Algorithms at Ōura. Skills: Algorithm development, People leadership, Time-series data, Signal processing. Lead and grow team. 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"Technical depth", "Scientific standards", "Process improvement", "Infrastructure improvement", "Analysis pipelines", "Evaluation frameworks", "Documentation", "Stakeholder management", "Dependencies", "Health sensing", "Sensor time-series data", "Biomedical engineering", "Electrical engineering", "Neural engineering", "Biostatistics", "Git" ], "skillCount" : 43, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7e3474d8ee00a0951ce8", "title" : "Manager, Algorithms", "company" : "Ōura", "industry" : "Technology", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager, Algorithms in San Diego, United States, adjusted for industry and company size." }, "location" : "San Diego, CA, United States", "locations" : [ "San Diego", "CA", "United States" ], "timestamp" : "2026-06-15T12:46:19.985", "fingerprint" : "fded1d3df8988a6833a3e7649841b4e90f3bc71f469f04007d32e2bbfcfb2685", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/oura/jobs/4147285009", "externalId" : "4147285009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Diego", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "32.7174202,-117.1627720" } ], "locationText" : "San Diego, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Python, Git, Code review, Testing, Reproducibility", "professionalSkills" : [ "Algorithm strategy", "Execution", "Technical goals", "Milestones", "Success metrics", "Feasibility evaluation", "Prototype evaluation", "Performance characterization", "Sensing requirements", "Design decisions", "Priority alignment", "Dependency management", "Progress communication", "Risk communication", "Tradeoff communication", "Engineering standards", "Scientific standards", "Process improvement", "Infrastructure improvement", "Analysis pipelines", "Evaluation frameworks", "Documentation", "Stakeholder management" ], "hardSkillsList" : [ "Algorithm development", "Productization", "Sensor time-series data", "Signal processing", "Statistical evaluation", "Filtering", "Artifact handling", "Modeling approaches", "Performance characterization" ], "softSkillsList" : [ "Leadership", "Coaching", "Mentoring" ], "hardSkills" : [ { "name" : "Algorithm development", "level" : "intermediate" }, { "name" : "Productization", "level" : "intermediate" }, { "name" : "Sensor time-series data", "level" : "intermediate" }, { "name" : "Signal processing", "level" : "intermediate" }, { "name" : "Statistical evaluation", "level" : "intermediate" }, { "name" : "Filtering", "level" : "intermediate" }, { "name" : "Artifact handling", "level" : "intermediate" }, { "name" : "Modeling approaches", "level" : "intermediate" }, { "name" : "Performance characterization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Coaching" }, { "name" : "Mentoring" } ], "majorSkills" : "Algorithm development, People leadership, Signal processing, Statistical evaluation", "majorSkillsList" : [ "Algorithm development", "People leadership", "Signal processing", "Statistical evaluation" ], "coreResponsibilities" : "Lead and grow team, Advance health sensing capabilities, Set direction, Coach team members, Ensure delivery, Ensure technical quality, Drive algorithm strategy, Drive algorithm execution, Translate needs to goals, Translate needs to milestones, Translate needs to metrics, Own algorithm development, Develop feasibility prototypes, Evaluate prototypes, Develop feature-ready performance, Partner with hardware teams, Partner with firmware teams, Shape sensing requirements, Understand constraints, Influence design decisions, Improve algorithm performance, Coordinate cross-functionally, Align priorities, Manage dependencies, Communicate progress, Communicate risks, Communicate tradeoffs, Maintain technical depth, Review methods, Review results, Unblock complex problems, Uphold engineering standards, Uphold scientific standards, Enable team ownership, Scale team leverage, Improve processes, Improve infrastructure", "teamCollaboration" : "Cross-functional teams; Hardware teams; Firmware teams; Product teams; Program management; Globally distributed teams", "projectManagementSkills" : [ "Program management" ], "domainKnowledge" : "Health sensing; Time-series data; Signal processing; Biomedical engineering; Electrical engineering; Neural engineering; Biostatistics; Computer science", "domainList" : [ "health-sensing", "time-series-data", "signal-processing", "biomedical-engineering", "electrical-engineering", "neural-engineering", "biostatistics", 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"qualificationsPreferred" : "Relevant industry experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped over one million people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. We are looking for a Manager, Algorithms to lead a team creating new health sensing algorithms that power future Oura experiences. You’ll set direction, build strong execution habits, and partner across hardware, firmware, and product to deliver algorithms that are accurate, resilient, and ready for real-world use. This is a hybrid role based in San Diego, CA, requiring at least three days in office (at our Carmel Mountain location) per week. What you will do: Lead and grow a team of algorithm scientists advancing Oura’s next generation health sensing capabilities: setting direction, coaching, and ensuring strong delivery and technical quality Drive algorithm strategy and execution for new sensing programs: translate product and program needs into clear technical goals, milestones, and success metrics Own end-to-end algorithm development from early feasibility and prototype evaluation through feature-ready performance Partner deeply with hardware and firmware teams to shape sensing requirements, understand constraints, and influence design decisions to improve real-world algorithm performance Coordinate cross-functionally with product, program management and other stakeholders to align priorities, manage dependencies, and communicate progress, risks, and tradeoffs Maintain technical depth as a leader: review methods and results, unblock complex problems, and uphold strong engineering/scientific standards, while enabling the team to own implementation details Scale team leverage by improving processes and infrastructure (reusable analysis pipelines, evaluation frameworks, documentation, etc) Requirements We would love to have you on our team if you have: PhD in biomedical engineering, electrical engineering, neural engineering, biostatistics, computer science or related field; or MS with significant relevant industry experience Demonstrated people leadership experience managing and developing technical teams (scientists/engineers/data scientists), including hiring, coaching, performance management, and team execution 5+ years of experience developing and productizing algorithms in a cross-functional environment, ideally involving sensor time-series data Solid foundation in time-series/signal processing and statistical evaluation, with the ability to guide technical choices and ensure rigor (filtering, artifact handling, modeling approaches, performance characterization, etc) Experience collaborating with hardware/firmware partners on prototype-to-product development; comfort operating with real-world constraints and imperfect early data Strong programming fluency in Python, plus modern collaboration practices (git, code review, testing, reproducibility) Excellent communication and stakeholder management skills: you can align globally distributed teams, make tradeoffs clear, and drive decisions with crisp narratives A pragmatic, delivery-focused mindset: you prioritize effectively, build team leverage, and create clarity in ambiguity Flexible schedule and strong async communication skills to work with Oura’s Finnish teams (early morning meetings two to three times a week) Benefits At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health. What we offer: Competitive salary and equity packages Health, dental, vision insurance, and mental health resources An Oura Ring of your own plus employee discounts for friends & family 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off Paid sick leave and parental leave Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. San Diego area $173,000- $200,000 A recruiter can determine your zones/tiers based on your US location. We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), Vermont (VT), West Virginia (WV), and Wisconsin (WI) Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of fake job offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: Our jobs are listed only on the ŌURA Careers page and trusted job boards. We will never ask for personal information like ID or payment for equipment upfront. Official offers are sent through Docusign after a verbal offer, not via text or email. Stay cautious and protect your personal details. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.", "summaryDescription" : "Manager, Algorithms at Ōura. Skills: Algorithm development, People leadership, Signal processing, Statistical evaluation. Lead and grow team. Advance health sensing capabilities", "postedDate" : "2026-06-14T03:08:16.197", "createdAt" : "2026-06-14T03:08:16.197", "lastUpdated" : "2026-06-15T12:46:19.985", "ingestTimestamp" : "2026-06-14T03:08:16.197", "mongoId" : "6a2c7e3474d8ee00a0951ce8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Algorithm development", "Productization", "Sensor time-series data", "Signal processing", "Statistical evaluation", "Filtering", "Artifact handling", "Modeling approaches", "Performance characterization", "Leadership", "Coaching", "Mentoring", "People leadership", "Algorithm strategy", "Execution", "Technical goals", "Milestones", "Success metrics", "Feasibility evaluation", "Prototype evaluation", "Sensing requirements", "Design decisions", "Priority alignment", "Dependency management", "Progress communication", "Risk communication", "Tradeoff communication", "Engineering standards", "Scientific standards", "Process improvement", "Infrastructure improvement", "Analysis pipelines", "Evaluation frameworks", "Documentation", "Stakeholder management", "Program management", "Health sensing", "Time-series data", "Biomedical engineering", "Electrical engineering", "Neural engineering", "Biostatistics", "Computer science", "Git" ], "skillCount" : 44, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69c94a669bc74574cbbb3081", "title" : "SW Automation and Framework Engineer", "company" : "Amazon Kuiper Manufacturing Enterprises LLC", "industry" : "Software Development, alexa and amazon devices", "salary" : { "min" : 70000.0, "max" : 194400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Redmond, Washington, USA", "locations" : [ "Redmond, Washington, USA" ], "timestamp" : "2026-06-15T02:22:36.457", "fingerprint" : "a9c3bdeaf03649383b9ef6ff5348365ee284a67db5237b340a337af1b5818aec", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3198802/apply", "externalId" : "d8951ab0-7a99-426a-b606-35f2b9fac3a7", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Redmond", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6694141,-122.1238767" } ], "locationText" : "Redmond, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, C#, C++, Java, Perl", "professionalSkills" : [ "System architecture", "Spectrum coordination", "Link budgets", "System trade-offs" ], "hardSkillsList" : [ "RF validation", "System test cases", "Performance testing", "Regression testing", "Automated test execution", "Log analysis", "Telemetry analysis", "Device configuration", "Test orchestration", "Test infrastructure control", "RF system performance", "Throughput validation", "Link behavior validation", "Interference validation", "Stability metrics", "Packet captures", "RF instrumentation" ], "hardSkills" : [ { "name" : "RF validation", "level" : "intermediate" }, { "name" : "System test cases", "level" : "intermediate" }, { "name" : "Performance testing", "level" : "intermediate" }, { "name" : "Regression testing", "level" : "intermediate" }, { "name" : "Automated test execution", "level" : "intermediate" }, { "name" : "Log analysis", "level" : "intermediate" }, { "name" : "Telemetry analysis", "level" : "intermediate" }, { "name" : "Device configuration", "level" : "intermediate" }, { "name" : "Test orchestration", "level" : "intermediate" }, { "name" : "Test infrastructure control", "level" : "intermediate" }, { "name" : "RF system performance", "level" : "intermediate" }, { "name" : "Throughput validation", "level" : "intermediate" }, { "name" : "Link behavior validation", "level" : "intermediate" }, { "name" : "Interference validation", "level" : "intermediate" }, { "name" : "Stability metrics", "level" : "intermediate" }, { "name" : "Packet captures", "level" : "intermediate" }, { "name" : "RF instrumentation", "level" : "intermediate" } ], "majorSkills" : "SW Automation, Framework Engineering, RF Validation, System Testing", "majorSkillsList" : [ "SW Automation", "Framework Engineering", "RF Validation", "System Testing" ], "coreResponsibilities" : "Develop RF validation test cases, Automate RF validation test cases, Maintain RF validation test cases, Implement automation for RF tests, Expand automated test suites, Execute automated RF test campaigns, Analyze test outcomes, Analyze logs, Analyze telemetry, Identify failures, Isolate issues, Support debugging, Develop Python scripts, Configure devices, Orchestrate test scenarios, Control test infrastructure, Automate test setup workflows, Automate configuration workflows, Automate execution workflows, Automate log collection workflows, Automate results processing workflows, Validate RF system performance, Check throughput, Check link behavior, Check interference conditions, Check stability metrics, Troubleshoot issues, Improve automation reliability, Maintain automated test libraries, Work with engineers, Translate validation requirements, Support large-scale validation, Run scheduled test executions, Run on-demand test executions, Document automated test cases, Document execution procedures, Document troubleshooting steps", "teamCollaboration" : "RF engineers; Networking engineers; Systems engineers", "domainKnowledge" : "Low Earth Orbit satellites; Broadband wireless; RF systems; Wireless system architecture", "domainList" : [ "low-earth-orbit-satellites", "broadband-wireless", "rf-systems", "wireless-system-architecture" ], "domainSpecificKnowledge" : [ "Low Earth Orbit satellites", "Broadband wireless", "RF systems", "Wireless system architecture" ], "toolProficiency" : [ "Linux" ], "documentationSkills" : "Document test cases; Document procedures; Document troubleshooting", "problemSolvingSkills" : "Troubleshoot issues; Root cause analysis", "specialRequirements" : "U. S. citizen or national, U. S. permanent resident, Lawfully admitted into U. S.", "qualificationsBasic" : "3+ years software development experience, 2+ years system design experience, 1+ years software development engineer experience, 1+ years designing distributed software applications, 1+ years Object Oriented Design experience, Bachelor's degree or foreign equivalent", "qualificationsPreferred" : "3+ years full software development life cycle experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon LEO is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to unserved and underserved communities around the world. Come work at Amazon! The Role: Be part of the team defining the system level architecture of Amazon LEO's broadband wireless system from customer end points to terrestrial gateways via Low Earth Orbit satellites. This is a unique opportunity to define a groundbreaking wireless solution with few legacy constraints. The team analyzes customer requirements for overall throughput / availability of the network, assignment of resources to each customer area, coordination of spectrum with regulators and other users of the spectrum, and optimization of link budgets and system trade-offs In this role you will: • Develop, automate, and maintain RF validation and system test cases using Python within Linux-based test environments. • Implement automation for new RF functional, performance, and regression tests based on validation plans and engineering requirements. • Maintain and expand existing automated test suites to ensure continuous coverage as new features and firmware are introduced. • Execute automated RF test campaigns across lab testbeds and deployed validation environments, ensuring repeatable and reliable results. • Analyze test outcomes, logs, and telemetry to identify failures, isolate issues, and support debugging with RF and systems teams. • Develop Python scripts to configure devices, orchestrate test scenarios, and control test infrastructure required for RF validation. • Automate workflows for test setup, configuration, execution, log collection, and results processing across multiple Linux-based systems. • Validate RF system performance through automated checks of throughput, link behavior, interference conditions, and stability metrics. • Troubleshoot issues using Linux tools, packet captures, system logs, and RF instrumentation outputs. • Continuously improve automation reliability through better error handling, logging, and reproducible test execution. • Maintain automated test libraries, ensuring test cases remain accurate as system behavior and requirements evolve. • Work closely with RF, networking, and systems engineers to translate validation requirements into automated test implementations. • Support large-scale validation by running scheduled and on-demand automated test executions across multiple test platforms. • Document automated test cases, execution procedures, and troubleshooting steps to ensure long-term maintainability and team adoption. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent 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, Redmond - 143,700.00 - 194,400.00 USD annually", "summaryDescription" : "SW Automation and Framework Engineer at Amazon Kuiper Manufacturing Enterprises LLC. Skills: SW Automation, Framework Engineering, RF Validation, System Testing. Develop RF validation test cases. Automate RF validation test cases", "postedDate" : "2026-06-13T09:19:48.044", "createdAt" : "2026-06-13T09:19:48.044", "lastUpdated" : "2026-06-15T02:22:36.457", "ingestTimestamp" : "2026-06-13T09:19:48.044", "mongoId" : "69c94a669bc74574cbbb3081", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3198802/apply", "salaryAnnualMin" : 70000, "salaryAnnualMax" : 194400, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "RF validation", "System test cases", "Performance testing", "Regression testing", "Automated test execution", "Log analysis", "Telemetry analysis", "Device configuration", "Test orchestration", "Test infrastructure control", "RF system performance", "Throughput validation", "Link behavior validation", "Interference validation", "Stability metrics", "Packet captures", "RF instrumentation", "SW Automation", "Framework Engineering", "RF Validation", "System Testing", "System architecture", "Spectrum coordination", "Link budgets", "System trade-offs", "Low Earth Orbit satellites", "Broadband wireless", "RF systems", "Wireless system architecture", "Linux" ], "skillCount" : 30, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a191e7758b93c861e39f6cd", "title" : "ADAS Platform Software Engineer(Algorithm Framework)", "company" : "Mercedes-Benz Digital Tech Ltd.", "industry" : "Manufacturing", "salary" : { "min" : 550000.0, "max" : 850000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior ADAS Platform Software Engineer in Shanghai, China, adjusted for the technology industry and company size." }, "location" : "China (Mainland)-Shanghai", "locations" : [ "China (Mainland)-Shanghai" ], "timestamp" : "2026-06-16T02:18:19.718", "fingerprint" : "cf8d67b13e8fba5c47a3823a46f625c47cef019be691c48310977b7bc437d60e", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=895093", "externalId" : "895093", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Shanghai", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "31.2312707,121.4700152" } ], "locationText" : "Shanghai, China", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C++, Python, STL container, TCP/IP, SOME/IP, DoIP, AVB/TSN, QNX, AGL, Adaptive AutoSAR, ROS", "professionalSkills" : [ "SOA", "Functional security", "Information security" ], "hardSkillsList" : [ "Object-oriented development", "Software programming", "Linux development", "Process communication", "Multi-threads programming", "Performance optimization", "Software debugging", "Algorithm development", "Algorithm integration", "Model base development", "Embedded software development", "Vehicle Ethernet protocols" ], "softSkillsList" : [ "Inter-cultural competence", "Communication skills" ], "hardSkills" : [ { "name" : "Object-oriented development", "level" : "intermediate" }, { "name" : "Software programming", "level" : "intermediate" }, { "name" : "Linux development", "level" : "intermediate" }, { "name" : "Process communication", "level" : "intermediate" }, { "name" : "Multi-threads programming", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" }, { "name" : "Software debugging", "level" : "intermediate" }, { "name" : "Algorithm development", "level" : "intermediate" }, { "name" : "Algorithm integration", "level" : "intermediate" }, { "name" : "Model base development", "level" : "intermediate" }, { "name" : "Embedded software development", "level" : "intermediate" }, { "name" : "Vehicle Ethernet protocols", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Inter-cultural competence" }, { "name" : "Communication skills" } ], "majorSkills" : "Algorithm Framework, ADAS Platform, C++ Development, Embedded Software", "majorSkillsList" : [ "Algorithm Framework", "ADAS Platform", "C++ Development", "Embedded Software" ], "coreResponsibilities" : "Develop communication component, Develop algorithm framework, Develop Algorithm Container, Develop Algorithm Framework, Integrate AD algorithm module, Develop dev tool chain, Maintain dev tool chain, Architecture design of AD/ADAS, Design documents, Testing, Assist in development of application software, Assist in software integration, Assist in software release", "teamCollaboration" : "Various hierarchy levels", "domainKnowledge" : "Localization; Radar perception; USS; In-vehicle embedded software; Vehicle Ethernet; ASPICE", "domainList" : [ "localization", "radar-perception", "uss", "in-vehicle-embedded-software", "vehicle-ethernet", "aspice" ], "domainSpecificKnowledge" : [ "Localization", "Radar perception", "USS", "In-vehicle embedded software", "Vehicle Ethernet", "ASPICE" ], "toolProficiency" : [ "Linux tool chain" ], "communicationSkills" : "Inter-cultural competence; Communication skills", "documentationSkills" : "Design documents", "problemSolvingSkills" : "Performance optimizations; Software debugging", "qualificationsBasic" : "5+ years object-oriented software development, Proficient in C++, Experience with Linux development, Experience with inter/remote process communication, Experience with multi-threads programming, Experience with performance optimizations, Experience writing efficient implementations, Experience with software debugging, Fluent English", "qualificationsPreferred" : "Experience in algorithm development, Experience in algorithm integration, Familiar with base algorithm know how, Experience in model base development, Experience in in-vehicle embedded software development, German language skills", "remoteFriendly" : true, "rawDescription" : "Job Objective - Develop communication component. - Develop algorithm framework. - Develop Algorithm Container & Algorithm Framework. - Integrate AD algorithm module. - Develop and maintain dev tool chain based on SOA - Responsible for the architecture design of AD/ADAS. - Responsible for design documents and testing - Assist in the development of application software - Assist in software integration and release Education • Bachelor degree or above (including degree), major in computer software, electronics, electrical engineering, mechatronics, automation or other software related majors Experience • More than 5 years working experience in object-oriented software development, Proficient in C++ language software programming, working at least one platform such as Linux, Windows, Android, MacOS • Experience in Linux development environment and tool chain • Working experience inter/remote process communication & multi-threads programming • Experience in performance optimizations, writing efficient implementations, and software debugging. • Experience in algorithm development, such as localization, radar perception, USS, is plus • Experience in algorithm integration, familiar with base algorithm know how, is plus • Experience in model base development is plus • Working experience in in-vehicle embedded software development is plus • Inter-cultural competence and communication skills with various hierarchy levels. • Fluent English, German is a plus Knowledge • Strong skill in C++ programming and scripting languages (Python among others) with large software system development experience • Strong practical knowledge of STL container, Familiar with common data structure & design model • Proficient in vehicle Ethernet related protocols (at least one): TCP/IP, SOME/IP, DoIP, AVB/TSN, etc., with a certain functional security and information security foundation • Strong knowledge or experience (at least one): QNX/AGL, Adaptive AutoSAR or ROS • Familiar with ASPICE is plus Mercedes-Benz Digital Tech Ltd.", "summaryDescription" : "ADAS Platform Software Engineer(Algorithm Framework) at Mercedes-Benz Digital Tech Ltd.. Skills: Algorithm Framework, ADAS Platform, C++ Development, Embedded Software. Develop communication component. Develop algorithm framework", "createdAt" : "2026-06-14T20:49:56.835", "lastUpdated" : "2026-06-16T02:18:19.718", "ingestTimestamp" : "2026-06-14T20:49:56.835", "mongoId" : "6a191e7758b93c861e39f6cd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Object-oriented development", "Software programming", "Linux development", "Process communication", "Multi-threads programming", "Performance optimization", "Software debugging", "Algorithm development", "Algorithm integration", "Model base development", "Embedded software development", "Vehicle Ethernet protocols", "Inter-cultural competence", "Communication skills", "Algorithm Framework", "ADAS Platform", "C++ Development", "Embedded Software", "SOA", "Functional security", "Information security", "Localization", "Radar perception", "USS", "In-vehicle embedded software", "Vehicle Ethernet", "ASPICE", "Linux tool chain" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7dc574d8ee00a0950bf0", "title" : "Hardware Engineer (Edge AI)", "company" : "Ubiquiti", "industry" : "Technology", "salary" : { "min" : 1300000.0, "max" : 2000000.0, "currency" : "TWD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Hardware Engineer in Taiwan, adjusted for the technology industry and company size." }, "location" : "Taiwan", "locations" : [ "Taiwan" ], "timestamp" : "2026-06-15T22:44:02.570", "fingerprint" : "fd4f7dc75ecc3a7e6e6c1c36a303df6ca9abb4af7e8932befeb2c06a06353df2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ubiquiti/jobs/4187096009", "externalId" : "4187096009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Taiwan", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Taiwan", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "PCIe, DDR, USB, XGbE, Serdes, MIPI CSI, DSI, DC-DC, VRMs, OrCAD Capture, Allegro", "professionalSkills" : [ "Circuit design", "Component selection", "PCB layout review", "Hardware bring-up", "Hardware debugging", "Hardware validation", "Functional tests", "Performance benchmarks", "Thermal resilience", "EMIC compliance", "Product requirements translation", "Hardware specifications", "Architectural designs", "Test strategies", "Product optimization", "Reliability optimization", "Cost-efficiency optimization", "Manufacturability optimization", "Hardware challenges diagnosis", "Product performance" ], "hardSkillsList" : [ "Schematic capture", "PCB layout", "Power supply design", "Signal integrity analysis", "EMIC compliance testing", "Thermal analysis" ], "softSkillsList" : [ "Problem-solving", "Analytical skills", "Ownership mentality" ], "hardSkills" : [ { "name" : "Schematic capture", "level" : "intermediate" }, { "name" : "PCB layout", "level" : "intermediate" }, { "name" : "Power supply design", "level" : "intermediate" }, { "name" : "Signal integrity analysis", "level" : "intermediate" }, { "name" : "EMIC compliance testing", "level" : "intermediate" }, { "name" : "Thermal analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" }, { "name" : "Analytical skills" }, { "name" : "Ownership mentality" } ], "majorSkills" : "Hardware design, Edge AI hardware, Circuit design, Signal integrity", "majorSkillsList" : [ "Hardware design", "Edge AI hardware", "Circuit design", "Signal integrity" ], "coreResponsibilities" : "Architect hardware, Design hardware, Validate hardware, Capture schematics, Select components, Review PCB layout, Lead hardware bring-up, Debug hardware, Validate hardware functionally, Validate hardware for performance, Validate hardware for thermal resilience, Validate hardware for EMIC compliance, Collaborate with BSP teams, Collaborate with DQA teams, Collaborate with SI/PI teams, Collaborate with mechanical teams, Collaborate with software teams, Collaborate with industrial design teams, Collaborate with manufacturing teams, Translate product requirements, Create hardware specifications, Create architectural designs, Create test strategies, Optimize products for reliability, Optimize products for cost-efficiency, Optimize products for manufacturability, Diagnose hardware challenges, Conquer hardware challenges", "teamCollaboration" : "Cross-functional collaboration; BSP teams; DQA teams; SI/PI teams; Mechanical teams; Software teams; Industrial design teams; Manufacturing teams", "domainKnowledge" : "Edge AI; Surveillance systems; Enterprise storage; High-speed interfaces; Power systems; Signal integrity; EMIC design; ARM-based SoC platforms", "domainList" : [ "edge-ai", "surveillance-systems", "enterprise-storage", "high-speed-interfaces", "power-systems", "signal-integrity", "emic-design", "arm-based-soc-platforms" ], "domainSpecificKnowledge" : [ "Edge AI", "Surveillance systems", "Enterprise storage", "High-speed interfaces", "Power systems", "Signal integrity", "EMIC design", "ARM-based SoC platforms" ], "toolProficiency" : [ "OrCAD Capture", "Allegro", "Oscilloscopes", "Logic analyzers", "Spectrum analyzers", "Network sniffers" ], "communicationSkills" : "Communicate complex ideas", "innovationCreativity" : "Pushing technological boundaries; Challenging the status quo; Crafting elegant solutions", "problemSolvingSkills" : "Problem-solving prowess; Analytical skills; Diagnose complex hardware challenges", "qualificationsBasic" : "3+ years hardware design, 3+ years hardware development, Bachelor's in Electrical Engineering, Master's in Electrical Engineering, Digital circuit design, Analog circuit design, Core electrical engineering principles, High-speed interface design, Signal integrity, Power supply solutions, EDA tools for schematic capture, EDA tools for PCB layout, Hardware debugging tools, Thermal management, EMIC design", "qualificationsPreferred" : "Edge AI engineering experience, Surveillance systems engineering experience, Enterprise storage solutions experience, Video processing hardware exposure, Advanced storage interfaces exposure, ARM-based SoC platforms familiarity, Peripheral ecosystems familiarity, Design for Manufacturing eye, Leveraging AI tools for hardware design, Leveraging AI tools for analysis, Leveraging AI tools for validation, Familiarity with Ubiquiti portfolio", "workSiteFlexibility" : "Onsite", "rawDescription" : "About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Role Summary In the Edge AI team, you'll be at the forefront of shaping the next generation of surveillance hardware. We're dedicated to pushing technological boundaries, challenging the status quo, and crafting elegant solutions that redefine what's possible. This isn't just a role; it's an invitation to build the future. Responsibilities Architect, design, and rigorously validate cutting-edge hardware for our Edge AI products, tackling everything from core motherboards to robust power systems and high-speed I/ O. Take charge of schematic capture, intelligent component selection, and meticulous PCB layout review, ensuring top-tier integrity, manufacturability, and adherence to critical signal/power requirements. Lead the charge on hardware bring-up, debugging, and comprehensive validation, covering functional tests, performance benchmarks, thermal resilience, and EMI/EMC compliance. Champion cross-functional collaboration with BSP, DQA, SI/PI, mechanical, software, industrial design, and manufacturing teams, driving products from concept to mass production. Translate complex product requirements into precise hardware specifications, robust architectural designs, and comprehensive test strategies for our Edge AI systems. Continuously optimize products for peak reliability, cost-efficiency, and seamless manufacturability, owning the hardware journey end-to-end. Diagnose and conquer complex hardware challenges, from initial development kinks to in-field anomalies, ensuring rock-solid product performance. Requirement Proven mastery in digital and analog circuit design, backed by a strong command of core electrical engineering principles. Deep expertise in high-speed interface design (PCIe, DDR, USB, XGbE, Serdes, MIPI CSI, DSI) and critical signal integrity. Hands-on experience architecting robust power supply solutions (DC-DC, VRMs) for embedded systems. Proficiency with industry-standard EDA tools for schematic capture and PCB layout (e.g., OrCAD Capture, Allegro). Strong proficiency and command of hardware debugging tools – oscilloscopes, logic analyzers, spectrum analyzers, network sniffers – you know your way around a lab. Solid understanding of thermal management and EMI/EMC design for compliance. A Bachelor’s or Master’s degree in Electrical Engineering or a related technical field. 3+ years of hands-on, impactful hardware design and development experience. Exceptional problem-solving prowess, razor-sharp analytical skills, and the ability to communicate complex ideas with clarity and conviction. Preferred Qualifications Direct experience in engineering Edge AI, surveillance systems, or enterprise storage solutions. Exposure to video processing hardware or advanced storage interfaces (SATA/NVMe). Familiarity with ARM-based SoC platforms and their intricate peripheral ecosystems. A keen eye for Design for Manufacturing (DFM). You’re a self-starter with a strong ownership mentality, thriving in a fast-paced, ambiguous environment where you can truly make an impact. A proactive mindset in leveraging AI-powered tools and methodologies to enhance hardware design, analysis, and validation efficiency. You're already familiar with the Ubiquiti portfolio and what makes us tick.", "summaryDescription" : "Hardware Engineer (Edge AI) at Ubiquiti. Skills: Hardware design, Edge AI hardware, Circuit design, Signal integrity. Architect hardware. Design hardware", "postedDate" : "2026-06-14T19:11:18.402", "createdAt" : "2026-06-14T19:11:18.402", "lastUpdated" : "2026-06-15T22:44:02.570", "ingestTimestamp" : "2026-06-14T19:11:18.402", "mongoId" : "6a2c7dc574d8ee00a0950bf0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Schematic capture", "PCB layout", "Power supply design", "Signal integrity analysis", "EMIC compliance testing", "Thermal analysis", "Problem-solving", "Analytical skills", "Ownership mentality", "Hardware design", "Edge AI hardware", "Circuit design", "Signal integrity", "Component selection", "PCB layout review", "Hardware bring-up", "Hardware debugging", "Hardware validation", "Functional tests", "Performance benchmarks", "Thermal resilience", "EMIC compliance", "Product requirements translation", "Hardware specifications", "Architectural designs", "Test strategies", "Product optimization", "Reliability optimization", "Cost-efficiency optimization", "Manufacturability optimization", "Hardware challenges diagnosis", "Product performance", "Edge AI", "Surveillance systems", "Enterprise storage", "High-speed interfaces", "Power systems", "EMIC design", "ARM-based SoC platforms", "OrCAD Capture", "Allegro", "Oscilloscopes", "Logic analyzers", "Spectrum analyzers", "Network sniffers" ], "skillCount" : 45, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6af174d8ee00a090f4ec", "title" : "AI Algorithm Leader", "company" : "Bybit", "industry" : "Technology", "salary" : { "min" : 210000.0, "max" : 350000.0, "currency" : "MYR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for an AI Algorithm Leader Manager role in Kuala Lumpur, Malaysia, adjusted for FinTech industry and company size." }, "location" : "Kuala Lumpur Tech Office", "locations" : [ "Kuala Lumpur Tech Office" ], "timestamp" : "2026-06-16T06:16:20.350", "fingerprint" : "1c148dca2e1e663eb597cd4e879747e55c92f90445f18867dd7d09220d93ccdb", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/bybit/jobs/4860293101", "externalId" : "4860293101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kuala Lumpur", "country" : "Malaysia", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "3.1516964,101.6942371" } ], "locationText" : "Kuala Lumpur, Malaysia", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "LLM, GPT, Agent frameworks, RAG, Vectorization, Prompt Engineering", "professionalSkills" : [ "Technical planning", "Technical judgment", "Business acumen", "Project completion" ], "hardSkillsList" : [ "AI algorithm engineering", "Recommendation systems", "LLM productionization", "Knowledge base systems" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "AI algorithm engineering", "level" : "intermediate" }, { "name" : "Recommendation systems", "level" : "intermediate" }, { "name" : "LLM productionization", "level" : "intermediate" }, { "name" : "Knowledge base systems", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "coreResponsibilities" : "Lead technical planning, Lead execution, Oversee AI algorithm directions, Drive team exploration, Champion AI Native development, Improve overall efficiency, Establish technical culture, Establish engineering standards, Track industry frontiers, Provide technical judgment, Provide adoption roadmaps", "teamCollaboration" : "Cross-team communication; Collaboration", "projectManagementSkills" : [ "Roadmaps" ], "domainKnowledge" : "Large language model applications; Personalized recommendation; AI Native development; LLM; Agent; RAG; Multimodal", "domainList" : [ "large-language-model-applications", "personalized-recommendation", "ai-native-development", "llm", "agent", "rag", "multimodal" ], "domainSpecificKnowledge" : [ "Large language model applications", "Personalized recommendation", "AI Native development", "LLM", "Agent", "RAG", "Multimodal" ], "toolProficiency" : [ "Cursor", "Copilot" ], "continuousLearning" : "Study Growth Fund; Continuous learning", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Problem-solvers", "qualificationsBasic" : "Bachelor's degree or above in Computer Science, Mathematics, Statistics, or related, 2+ years in team management, Hands-on experience in intelligent customer service, AIGC, or related, Deep expertise in recommendation systems, Experience deploying large-scale online recommendation systems, Hands-on experience with LLM productionization, Real-world business application cases, Experience building enterprise knowledge bases, Experience building knowledge base system from scratch, Business acumen, Excellent cross-team communication, Excellent collaboration, Able to drive complex projects to completion", "qualificationsPreferred" : "Master's or PhD preferred, Experience participating in AI platform development, Experience participating in MLOps infrastructure development, Background from top-tier tech company, Background from AI unicorn, Hands-on experience with AI coding tools, Hands-on experience with developer productivity tools", "workSiteFlexibility" : "Onsite", "rawDescription" : "About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Responsibilities Lead the technical planning and execution of the AI algorithm team, overseeing core directions including intelligent customer service, large language model applications (GPT), and personalized recommendation (individualized user experience) Drive the team's exploration of cutting-edge AI technologies; champion AI Native development practices to improve overall R establish the team's technical culture and engineering standards Track industry frontiers (LLM, Agent, RAG, multimodal, etc.) and provide technical judgment and actionable adoption roadmaps Requirements Must-Have Bachelor's degree or above in Computer Science, Mathematics, Statistics, or a related field; Master's or PhD preferred 5+ years of AI/ML algorithm engineering experience, with 2+ years in team management Proven hands-on experience in intelligent customer service, AIGC, or related areas Deep expertise in recommendation systems, including the full pipeline of recall, ranking, and re-ranking, with experience deploying large-scale online recommendation systems Hands-on experience with LLM productionization, including Prompt Engineering, RAG, Fine-tuning, and Agent frameworks, with real-world business application cases Experience building enterprise knowledge bases, including document parsing, vectorization, retrieval-augmented generation (RAG), and knowledge graphs; experience building a knowledge base system from scratch Strong business acumen — able to align algorithmic capabilities closely with business objectives Excellent cross-team communication and collaboration skills; able to drive complex projects to completion Nice to Have Experience participating in AI platform or MLOps infrastructure development Background from a top-tier tech company or AI unicorn Hands-on experience with AI coding / developer productivity tools (Cursor, Copilot, etc.) Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.", "summaryDescription" : "AI Algorithm Leader at Bybit. Lead technical planning. Lead execution", "postedDate" : "2026-06-14T20:03:52.093", "createdAt" : "2026-06-14T20:03:52.093", "lastUpdated" : "2026-06-16T06:16:20.350", "ingestTimestamp" : "2026-06-14T20:03:52.093", "mongoId" : "6a2c6af174d8ee00a090f4ec", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "AI algorithm engineering", "Recommendation systems", "LLM productionization", "Knowledge base systems", "Leadership", "Technical planning", "Technical judgment", "Business acumen", "Project completion", "Roadmaps", "Large language model applications", "Personalized recommendation", "AI Native development", "LLM", "Agent", "RAG", "Multimodal", "Cursor", "Copilot" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "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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Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. 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Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research. A Postdoctoral Research Fellow position is open under Dr. Nagarajan Vaidehi within the department of Computational and Quantitative Medicine. This project involves the development and application of interpretable machine learning methods to uncover allosteric regulation of disordered regions in the dynamics of G-protein coupled receptors to enable design of allosteric modulators. You will work on developing design principles of targeted protein degradation in collaboration with Pharma. For more information on Dr. Vaidehi’s lab please visit here . Your qualifications should include: · PhD or M.D. in Chemistry, Physics or Biochemistry with experience in protein dynamics studies. · Knowledgeable about concepts in statistical thermodynamics, in python scripting and C++ programming. · Familiarity with Molecular Dynamics methods and experience in code development is preferred. City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . United States-California-Monrovia", "summaryDescription" : "Postdoctoral Fellow - Computational and Quantitative Medicine at City of Hope. Skills: Data science, Data engineering, Machine learning, Business intelligence", "createdAt" : "2026-06-14T19:54:56.791", "lastUpdated" : "2026-06-16T08:17:43.745", "ingestTimestamp" : "2026-06-14T19:54:56.791", "mongoId" : "69dde45c2beec4dd3d9a3f9e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 60000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Quantitative analysis", "Analytics engineering", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cafbd74d8ee00a09d7aae", "title" : "Product Manager (AI Hardware)", "company" : "Artificial Analysis", "industry" : "Product", "salary" : { "min" : 165000.0, "max" : 220000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Product Manager in San Francisco, adjusted for the technology industry and manager experience." }, "location" : "San Francisco (On-site)", "locations" : [ "San Francisco (On-site)" ], "timestamp" : "2026-06-15T03:24:50.590", "fingerprint" : "826431f951d514a26d54e5382def9aa992087e60d368740b6c8ae2f2f286b3ec", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/artificialanalysis/36262f57-d5fe-40d1-8add-953cff832ddf/application", "externalId" : "36262f57-d5fe-40d1-8add-953cff832ddf", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "AI, Silicon, GPUs, TPUs, Custom silicon, Python, Pandas, NumPy, Matplotlib, PyTorch, TensorFlow, CUDA, TensorRT, VLLM", "professionalSkills" : [ "Product strategy", "Roadmap development", "Performance benchmarking", "Cost modeling", "Price-performance analysis", "Community engagement", "Industry standards" ], "hardSkillsList" : [ "Performance benchmarking", "Cost modeling", "Throughput analysis", "Latency analysis", "Price-performance analysis" ], "softSkillsList" : [ "Critical thinking" ], "hardSkills" : [ { "name" : "Performance benchmarking", "level" : "intermediate" }, { "name" : "Cost modeling", "level" : "intermediate" }, { "name" : "Throughput analysis", "level" : "intermediate" }, { "name" : "Latency analysis", "level" : "intermediate" }, { "name" : "Price-performance analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" } ], "majorSkills" : "AI hardware, Product management, Benchmarking", "majorSkillsList" : [ "AI hardware", "Product management", "Benchmarking" ], "coreResponsibilities" : "Contribute to AI hardware product strategy, Execute roadmap for accelerator evaluation platforms, Develop features with engineers, Code features yourself, Build and maintain benchmarking methodologies, Measure throughput, Measure latency, Measure price-performance, Benchmark new silicon, Benchmark new providers, Understand AI inference economics, Translate insights into evaluation frameworks, Amplify impact of hardware benchmarks, Collaborate to maximize content impact, Work with chipmakers, Work with inference providers, Benchmark accelerators, Understand accelerator capabilities, Shape industry standards, Embrace AI-native workflow, Use AI tools for leverage", "teamCollaboration" : "Cross-functional collaboration; Collaborating with engineering; Collaborating with analysis colleagues; Collaborating with founders; Collaborating with team; Collaborating with product", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "AI hardware; Inference chips; Accelerators; GPUs; TPUs; Custom silicon; AI benchmarking; AI capabilities; AI strategies; AI silicon; AI inference; Compute economics; Computer architecture; AI language models", "domainList" : [ "ai-hardware", "inference-chips", "accelerators", "gpus", "tpus", "custom-silicon", "ai-benchmarking", "ai-capabilities", "ai-strategies", "ai-silicon", "ai-inference", "compute-economics", "computer-architecture", "ai-language-models" ], "domainSpecificKnowledge" : [ "AI hardware", "Inference chips", "Accelerators", "GPUs", "TPUs", "Custom silicon", "AI benchmarking", "AI capabilities", "AI strategies", "AI silicon", "AI inference", "Compute economics", "Computer architecture", "AI language models" ], "toolProficiency" : [ "AI tools" ], "communicationSkills" : "Explaining technical topics", "problemSolvingSkills" : "Analytical thinking; Critical thinking", "qualificationsBasic" : "Analytical and critical thinking skills, Excitement about AI, Eagerness to work at forefront, Demonstrated excellence academically, Demonstrated excellence professionally, Real interest in AI hardware", "qualificationsPreferred" : "Experience at AI hardware startup, Experience at inference/infrastructure company, Experience at chip company, Experience with GPU/accelerator benchmarking, Experience with systems performance engineering, Understanding of inference economics, Experience in strategy consulting, Academic success in technical degree, Writing skills, Visual communication skills, Perspective on AI scaling laws, Familiarity with inference software stack, Familiarity with modern AI language models, Experience working in software engineering, Experience working in data science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT ARTIFICIAL ANALYSIS Artificial Analysis is the leading independent AI benchmarking company. We support labs, engineers and enterprises to understand AI capabilities and make critical decisions about their AI strategies. We are the go-to authority for understanding AI, from AI labs and enterprises to media, investors, and policymakers. Our benchmarks don't just measure the cutting edge of AI, they are actively shaping the frontier. Our benchmarks and analysis are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times and The Economist. We are a team of 35+, on track to triple by year end, backed by Nat Friedman (Github, Meta), Daniel Gross (SSI), Andrew Ng (Google Brain, DeepLearning.ai http://DeepLearning.ai, Amazon), Adam D'Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders. THE OPPORTUNITY We're hiring for a Product Manager focused on AI hardware — the inference chips and accelerators that the entire AI industry runs on (GPUs, TPUs, and the growing wave of custom silicon). You'll work closely with us to develop and enhance our hardware benchmarks and leaderboards, contributing to product strategy and execution at the intersection of silicon and AI. This is a hands-on, technical product role: you'll drive day-to-day operations for our hardware benchmarking offering and be a key contributor to product development, collaborating closely with engineering and analysis colleagues, as well as our founders. You'll design and run performance benchmarks, build cost and throughput models, and work with top chipmakers and inference providers to benchmark their latest accelerators. If you're excited about cutting-edge AI silicon and care deeply about how the economics and performance of inference are evolving (from hyperscale deployments to startups optimizing every dollar of compute), this role offers a front-row seat to the next wave of AI. WHAT YOU’LL DO - Product Development for Hardware AI Benchmarking: Contribute to AI hardware product strategy and help execute the roadmap for our accelerator evaluation platforms, covering GPUs, TPUs, custom inference silicon, and emerging architectures — including working with engineers on our team to develop features and potentially coding features yourself - Curate and Develop Hardware Evaluation Frameworks: Build and maintain comprehensive benchmarking methodologies that measure throughput, latency (e.g. tokens per second, time-to-first-token), and price-performance across accelerators and inference configurations, reflecting how the industry actually deploys models in production today and how it will in the coming months and years - Hardware Operations: Ensure that coverage of chips and accelerators across Artificial Analysis stays up to date by benchmarking new silicon and providers as they launch — both working with our development team and using our internal tooling yourself - Price-Performance & Cost Analysis: Deeply understand the economics of AI inference — how cost-per-token, utilization, and hardware choice interact — and translate these insights into evaluation frameworks that help users make real deployment and procurement decisions - Strategic Marketing Support and Community Engagement: Help amplify the impact of our hardware benchmarks, collaborating with our team to maximize impact of our content across platforms and audiences - Industry Engagement: Work with leading chipmakers and inference providers to benchmark their accelerators, understanding their capabilities and helping shape industry standards for how AI hardware performance and efficiency are evaluated - Become AI-Native: Embrace an AI-native workflow, using the latest AI tools to generate leverage in a fast-changing industry and maintain our competitive edge in AI benchmarking WHAT WE’RE LOOKING FOR Required: - Strong analytical and critical thinking skills - Excitement about AI and eagerness to work at the forefront of technological innovation - Demonstrated excellence, both academically and professionally - Real interest in AI hardware and the silicon powering modern AI Beyond that, this opportunity could potentially suit a wide range of backgrounds. We believe that the following skills and experience would likely be helpful for success in this role. We're not expecting any single candidate to tick off the entire list, but these are some things that we think would be valuable: - Experience at an AI hardware startup, inference/infrastructure company, or chip company (e.g. Cerebras, Groq, SambaNova, Tenstorrent, Together AI, Fireworks, Baseten, or similar) — especially in roles touching AI accelerators or inference hardware - Experience with GPU/accelerator performance benchmarking, characterization, or systems performance engineering - Understanding of inference economics and price-performance — cost-per-token, utilization, total cost of ownership of compute - Experience in strategy consulting - Academic success in a technical degree programme, especially related to AI, computer architecture, or hardware (e.g. Computer Science, Electrical/Computer Engineering), or in a related technical field (e.g. Physics, Maths) - Strong writing skills, especially in relation to explaining technical topics to both technical and non-technical audiences - Visual communication skills (e.g. making slides, visualizing data) - A strong perspective on AI scaling laws — and specifically their implications for inference hardware and compute demand - Familiarity with the inference software stack (e.g. CUDA, TensorRT, vLLM, or similar serving frameworks) and how it interacts with underlying hardware - Familiarity with modern AI language models (e.g. developing systems leveraging LLMs as a component) - Experience working in software engineering or data science - Proficiency in Python and data analysis libraries (e.g. pandas, numpy, matplotlib); experience with AI/ML frameworks (e.g. PyTorch, TensorFlow) WHY ARTIFICIAL ANALYSIS? - Shape how AI gets built: The leading AI labs track our benchmarks and use them to guide their development priorities. Your work will directly influence the direction of AI. - Become a world expert in AI: You will evaluate every major model and accelerator, across every major capability, as they are released. Very few roles offer this breadth of exposure to frontier AI. - Work with the most important players in AI: You'll manage relationships with teams at the leading chipmakers, AI labs and major enterprises as a trusted, independent voice. - Join at a defining moment: We're 35+ people and growing fast, backed by some of the most connected investors in AI. The people who join now will shape the product, the team, and the strategy as we scale. - Competitive compensation including equity ", "summaryDescription" : "Product Manager (AI Hardware) at Artificial Analysis. Skills: AI hardware, Product management, Benchmarking. Contribute to AI hardware product strategy. Execute roadmap for accelerator evaluation platforms", "createdAt" : "2026-06-13T22:17:35.477", "lastUpdated" : "2026-06-15T03:24:50.590", "ingestTimestamp" : "2026-06-13T22:17:35.477", "mongoId" : "6a2cafbd74d8ee00a09d7aae", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 220000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Performance benchmarking", "Cost modeling", "Throughput analysis", "Latency analysis", "Price-performance analysis", "Critical thinking", "AI hardware", "Product management", "Benchmarking", "Product strategy", "Roadmap development", "Community engagement", "Industry standards", "Roadmap planning", "Inference chips", "Accelerators", "GPUs", "TPUs", "Custom silicon", "AI benchmarking", "AI capabilities", "AI strategies", "AI silicon", "AI inference", "Compute economics", "Computer architecture", "AI language models", "AI tools" ], "skillCount" : 28, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69c94a7e9bc74574cbbb4818", "title" : "Sr. WW Specialist, Advanced Computing Architectures", "company" : "Amazon Web Services, Inc.", "industry" : "Business Merchant Development, Business/Merchant Development, Cloud Computing", "salary" : { "min" : 147900.0, "max" : 200100.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arlington, Virginia, USA", "locations" : [ "Arlington, Virginia, USA" ], "timestamp" : "2026-06-15T02:01:35.574", "fingerprint" : "ada20fb0b649eefef5a0a645c87d2ba841dbe9aa10300dbf9c4cd727cb6532c9", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3196771/apply", "externalId" : "48135117-393e-4361-9a99-0c7fd0890d80", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "HPC, Quantum Computing, AI, ML, AWS, EC2, Braket, PCS, Batch, SageMaker", "professionalSkills" : [ "Business acumen", "Go-to-market strategy", "Solution building" ], "hardSkillsList" : [ "Advanced Computing Architectures" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Advanced Computing Architectures", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Advanced Computing Architectures, Go-to-market strategy, HPC, Quantum Computing", "majorSkillsList" : [ "Advanced Computing Architectures", "Go-to-market strategy", "HPC", "Quantum Computing" ], "coreResponsibilities" : "Lead go-to-market strategy, Orchestrate sales motions, Accelerate adoption, Define vision for next-generation computing, Fuse HPC, Quantum Computing, AI/ML, Position AWS as leader, Understand customer advanced computing needs, Sell AC Architectures vision, Chart path from HPC to converged computing, Partner with AWS service teams, Influence roadmaps, Ensure alignment, Scale execution of AC Architectures strategy, Serve as evangelist for Advanced Computing, Serve as thought leader for Advanced Computing, Represent AWS at industry events, Represent AWS at conferences, Represent AWS at symposiums, Represent AWS in customer engagements, Leverage domain expertise, Create field enablement content, Create sales strategies, Create reference architectures, Support field teams in solution building, Bridge traditional HPC workloads, Bridge emerging AC paradigms, Bring market signals to product teams, Bring competitive intelligence to product teams, Bring customer feedback to product teams, Drive innovation on AWS product roadmaps, Own reporting on GTM plan execution, Own planning cadences on GTM plan execution, Report on pipeline health, Report on strategic progress", "teamCollaboration" : "Partner with AWS service teams; Partner with product management; Partner with engineering; Partner with marketing; Partner with professional services; Partner with partner teams; Partner with sales leadership; Work with account teams", "domainKnowledge" : "High Performance Computing; Quantum Computing; AI/ML; Converged Computing; Advanced Computing Architectures", "domainList" : [ "high-performance-computing", "quantum-computing", "ai-ml", "converged-computing", "advanced-computing-architectures" ], "domainSpecificKnowledge" : [ "High Performance Computing", "Quantum Computing", "AI/ML", "Converged Computing", "Advanced Computing Architectures" ], "communicationSkills" : "Keynote presentations; Strategy documents", "qualificationsBasic" : "5+ years Go-To-Market experience, 5+ years Business Development experience, 5+ years Sales experience, 5+ years Consulting experience, Bachelor's degree in Computer Science, Bachelor's degree in Engineering, Bachelor's degree related technical field, 5+ years Advanced Compute technologies experience, Experience with HPC technologies, Experience with quantum computing, Experience with AI-driven architectures", "qualificationsPreferred" : "Experience with AI/ML workloads in HPC, Experience with ML-accelerated modeling, Thought leadership track record, Published papers in advanced computing, Conference talks in advanced computing, Industry keynotes in advanced computing", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about defining the future of computing? Do you have the technical depth in HPC, quantum computing, and AI-driven architectures combined with the business acumen to translate that expertise into a compelling vision for customers and internal stakeholders? Join the Advanced Computing team as a Business Development Specialist focused on Advanced Computing (AC) Architectures. This role builds on traditional HPC architectures and orchestrators to define and drive the next generation of computing, fusing High Performance Computing with Quantum Computing, AI, and other emerging technologies. You will lead the global go-to-market strategy for AC Architectures, working directly with enterprise and public sector customers to understand their advanced computing needs, sell the vision, and help them chart a path from traditional HPC to converged computing approaches. Internally, you will partner with AWS service teams (EC2, Braket, PCS, Batch, SageMaker, and others), product management, engineering, marketing, professional services, partner teams, and sales leadership to influence roadmaps, ensure alignment, and scale execution. Your work will span from whiteboard sessions with Global 500 customers to strategy documents for AWS leadership on the competitive landscape in converged computing, to keynote presentations at industry conferences. You are a leader for specialists, architects, partners, and account teams around the world, setting direction and standards for how AWS approaches advanced computing challenges. You bring the voice of the customer into our product development roadmap and help AWS and its customers navigate the transition from today's HPC paradigms to the converged computing architectures of tomorrow. Key job responsibilities Lead the AC Architectures go-to-market strategy, orchestrating sales motions across sales, marketing, partner, product, training, and professional services teams to accelerate adoption. Define and articulate the vision for next-generation computing architectures that fuse HPC, Quantum Computing, AI/ML, and other emerging technologies, and position AWS as the leader in this space. Work directly with customers to understand their advanced computing needs, sell the AC Architectures vision, and help them chart a path from traditional HPC to converged computing approaches. Partner internally with AWS service teams to influence roadmaps, ensure alignment, and scale execution of the AC Architectures strategy. Serve as an evangelist and thought leader for Advanced Computing Architectures, credibly representing AWS at industry events, conferences, symposiums, and in customer engagements. Leverage deep domain expertise in HPC, quantum, and AI to create field enablement content, sales strategies, and reference architectures. Support field teams in solution building for high-priority customers, bridging traditional HPC workloads with emerging AC paradigms. Bring market signals, competitive intelligence, and customer feedback back to product teams to drive innovation on AWS product roadmaps. Own reporting and planning cadences to AWS executives on GTM plan execution, pipeline health, and strategic progress. About the team The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS). We work backwards from our customer's most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture, providing expertise across the entire life cycle of an AWS customer initiative. Within WWSO, this position is part of the Compute & Advanced Computing Specialist team, which focuses on architectures and solutions to orchestrate and scale the most demanding compute-constrained customer workloads and use cases. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve Basic Qualifications: - 5+ years of Go-To-Market, Business Development, Sales, or Consulting experience - Bachelor's degree in Computer Science, Engineering, a related technical field or equivalent - 5+ years of experience working with Advanced Compute technologies including, but not limited to, High Performance Computing (HPC), accelerated computing (GPUs, custom silicon), and/or parallel and distributed computing architectures. - 5+ years of experience explaining complex technical concepts to both technical and non-technical executive audiences. - Knowledge of HPC orchestrators, job schedulers, and cluster management frameworks (e.g., Slurm, PBS, AWS PCS, AWS Batch, or equivalents). - Experience with cloud computing concepts and architectures, particularly as they relate to compute-intensive workloads. Preferred Qualifications: - Master’s degree or PhD in Computer Science, Engineering, Physics, Quantum Information Science, or a related field. - Experience with or working knowledge of quantum computing concepts, platforms, or frameworks (e.g., AWS Braket, Qiskit, Cirq, or similar). - Experience with AI/ML workloads in the context of HPC or scientific computing (e.g., AI-driven simulation, ML-accelerated modeling). - Track record of thought leadership through published papers, conference talks, or industry keynotes in advanced computing domains Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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, CA, San Francisco - 162,700.00 - 220,200.00 USD annually USA, MA, Boston - 147,900.00 - 200,100.00 USD annually USA, TX, Austin - 147,900.00 - 200,100.00 USD annually USA, VA, Arlington - 147,900.00 - 200,100.00 USD annually USA, WA, Seattle - 147,900.00 - 200,100.00 USD annually", "summaryDescription" : "Sr. WW Specialist, Advanced Computing Architectures at Amazon Web Services, Inc.. Skills: Advanced Computing Architectures, Go-to-market strategy, HPC, Quantum Computing. Lead go-to-market strategy. Orchestrate sales motions", "postedDate" : "2026-06-13T03:16:52.543", "createdAt" : "2026-06-13T03:16:52.543", "lastUpdated" : "2026-06-15T02:01:35.574", "ingestTimestamp" : "2026-06-13T03:16:52.543", "mongoId" : "69c94a7e9bc74574cbbb4818", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3196771/apply", "salaryAnnualMin" : 147900, "salaryAnnualMax" : 200100, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Advanced Computing Architectures", "Leadership", "Go-to-market strategy", "HPC", "Quantum Computing", "Business acumen", "Solution building", "High Performance Computing", "AI/ML", "Converged Computing" ], "skillCount" : 10, "jobCategory" : "other", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c92ed74d8ee00a0986dfe", "title" : "Senior AI Algorithm Developer", "company" : "Xebia", "industry" : "Healthcare", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior AI Algorithm Developer in Poland, adjusted for industry and seniority." }, "location" : "Poland", "locations" : [ "Poland" ], "timestamp" : "2026-06-15T22:41:50.516", "fingerprint" : "f25a11a110b246ee49c1288d48d4d8d8006e4283005ff35c3b048255b7eb3375", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/xebiacee/jobs/6012272004", "externalId" : "6012272004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Poland", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Poland", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, Machine learning, Computer vision, Algorithm development, Python, Deep learning, Computational geometry, 3D image processing, 3D segmentation, 3D modeling, 3D measurement, 3D meshes, Volumetric imaging, PyTorch, NumPy, SciPy, VTK, AWS, Azure, GCP, Databricks, Snowflake, TypeScript, GenAI", "professionalSkills" : [ "Software solutions", "Model development", "Image processing", "Computational modeling", "Software engineering", "Algorithm optimization", "Algorithm validation", "Medical imaging", "Cardiac analysis", "Cardiac visualization", "Cardiac measurement", "3D anatomical modeling", "3D anatomical analysis", "Clinical workflows", "Medical innovation", "Engineering standards", "Development practices", "Quality processes", "Technical decisions", "SDLC" ], "hardSkillsList" : [ "Python development", "Computational geometry implementation", "Medical imaging processing", "3D data processing", "Segmentation", "Reconstruction", "Mesh handling", "Algorithm optimization", "Algorithm validation", "Scientific computing", "Visualization libraries" ], "hardSkills" : [ { "name" : "Python development", "level" : "intermediate" }, { "name" : "Computational geometry implementation", "level" : "intermediate" }, { "name" : "Medical imaging processing", "level" : "intermediate" }, { "name" : "3D data processing", "level" : "intermediate" }, { "name" : "Segmentation", "level" : "intermediate" }, { "name" : "Reconstruction", "level" : "intermediate" }, { "name" : "Mesh handling", "level" : "intermediate" }, { "name" : "Algorithm optimization", "level" : "intermediate" }, { "name" : "Algorithm validation", "level" : "intermediate" }, { "name" : "Scientific computing", "level" : "intermediate" }, { "name" : "Visualization libraries", "level" : "intermediate" } ], "majorSkills" : "AI Algorithm Development, Medical Imaging, Deep Learning, 3D Image Processing", "majorSkillsList" : [ "AI Algorithm Development", "Medical Imaging", "Deep Learning", "3D Image Processing" ], "coreResponsibilities" : "Develop AI algorithms, Build segmentation pipelines, Maintain segmentation pipelines, Optimize segmentation pipelines, Build modeling pipelines, Maintain modeling pipelines, Optimize modeling pipelines, Build measurement pipelines, Maintain measurement pipelines, Optimize measurement pipelines, Design deep learning models, Train deep learning models, Validate deep learning models, Improve deep learning models, Work with medical imaging datasets, Develop computational geometry algorithms, Optimize computational geometry algorithms, Process 3D meshes, Analyze 3D meshes, Manipulate 3D meshes, Process volumetric imaging data, Analyze volumetric imaging data, Manipulate volumetric imaging data, Improve algorithm robustness, Improve algorithm accuracy, Improve algorithm scalability, Improve algorithm performance, Contribute to validation activities, Support evidence preparation, Participate in technical discussions, Support continuous improvement, Mentor team members", "teamCollaboration" : "Multidisciplinary teams; International teams; Product managers; Software engineers; Clinical experts; Regulatory teams; Technical stakeholders; Non-technical stakeholders", "projectManagementSkills" : [ "Agile software development" ], "domainKnowledge" : "Medical technology; Healthcare domain; Cardiac imaging; Clinical decision-making; AI-powered software; Medical imaging technologies; Cardiac analysis; Cardiac visualization; Cardiac measurement; 3D image processing; Deep learning; Computational modeling; Healthcare environment; Artificial intelligence; Medical imaging; Computational geometry; Software engineering; 3D anatomical modeling; 3D anatomical analysis; Clinical workflows; Medical innovation; Medical device development; Healthcare regulatory requirements; Medical imaging modalities; GenAI in SDLC", "domainList" : [ "medical-technology", "healthcare-domain", "cardiac-imaging", "clinical-decision-making", "ai-powered-software", "medical-imaging-technologies", "cardiac-analysis", "cardiac-visualization", "cardiac-measurement", "3d-image-processing", "deep-learning", "computational-modeling", "healthcare-environment", "artificial-intelligence", "medical-imaging", "computational-geometry", "software-engineering", "3d-anatomical-modeling", "3d-anatomical-analysis", "clinical-workflows", "medical-innovation", "medical-device-development", "healthcare-regulatory-requirements", "medical-imaging-modalities", "genai-in-sdlc" ], "domainSpecificKnowledge" : [ "Medical technology", "Healthcare domain", "Cardiac imaging", "Clinical decision-making", "AI-powered software", "Medical imaging technologies", "Cardiac analysis", "Cardiac visualization", "Cardiac measurement", "3D image processing", "Deep learning", "Computational modeling", "Healthcare environment", "Artificial intelligence", "Medical imaging", "Computational geometry", "Software engineering", "3D anatomical modeling", "3D anatomical analysis", "Clinical workflows", "Medical innovation", "Medical device development", "Healthcare regulatory requirements", "Medical imaging modalities", "GenAI in SDLC" ], "toolProficiency" : [ "PyTorch", "NumPy", "SciPy", "VTK", "Claude Code", "GitHub Copilot", "Cursor" ], "communicationSkills" : "Technical discussions; Fluent English", "continuousLearning" : "Knowledge sharing", "innovationCreativity" : "Innovative AI-powered software; Medical innovation; Emerging AI-driven practices; Agent-based workflows; Automation patterns; AI-augmented development", "problemSolvingSkills" : "Analytical skills; Problem-solving skills; Root cause analysis", "specialRequirements" : "Work permit required", "outcomesObjectives" : "Deliver robust solutions; Deliver accurate solutions; Support clinical workflows; Support medical innovation", "qualificationsBasic" : "Commercial experience in AI, Commercial experience in machine learning, Commercial experience in computer vision, Commercial experience in algorithm development, Python development skills, Experience building production-grade software, Hands-on experience with deep learning frameworks, Hands-on experience with model development, Understanding of computational geometry concepts, Practical implementation of computational geometry, Experience working with medical imaging technologies, Experience working with healthcare datasets, Practical experience processing medical imaging, Practical experience analyzing medical imaging, Experience with 3D data processing, Experience with segmentation, Experience with reconstruction, Experience with mesh handling, Experience optimizing algorithms, Experience validating algorithms, Analytical skills, Problem-solving skills, Ability to work within multidisciplinary teams, Ability to work within international teams, Experience working within Agile software development, Attention to quality, Attention to reliability, Attention to scientific rigor, Work from the European Union region, Work permit required", "qualificationsPreferred" : "Experience with TypeScript development, Exposure to AWS cloud services, Exposure to cloud-native development practices, Experience working within regulated healthcare, Experience working within medical device environments, Familiarity with medical device development standards, Familiarity with healthcare regulatory requirements, Experience working with major medical imaging vendors, Experience working with healthcare technology vendors, Experience working with medical device vendors, Fluent English communication skills, German language skills", "remoteFriendly" : true, "rawDescription" : "Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture. In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing. About project: We are looking for a Senior AI Algorithm Developer to join a project delivered for our international client operating in the medical technology and healthcare domain. The client is focused on developing advanced cardiac imaging solutions that support clinical decision-making through innovative AI-powered software and medical imaging technologies. This role is a great opportunity to work on cutting-edge medical imaging platforms, contributing to the development of AI algorithms used in cardiac analysis, visualization, and measurement workflows. You will be involved in the design, implementation, optimization, and validation of advanced algorithms supporting 3D image processing, deep learning, and computational modeling in a highly specialized healthcare environment. The project combines artificial intelligence, medical imaging, computational geometry, and software engineering within a multidisciplinary team consisting of product specialists, engineers, clinical experts, and regulatory stakeholders. You will play a key role in delivering robust and accurate solutions that support critical clinical workflows and medical innovation. You will be: developing AI algorithms for advanced cardiac medical imaging platforms, build, maintain, and optimize 3D segmentation, modeling, and measurement pipelines, design, train, validate, and improve deep learning models for medical imaging applications, work with complex medical imaging datasets, including CT, MRI, and echocardiography data, develop and optimize computational geometry algorithms for 3D anatomical modeling and analysis, process, analyze, and manipulate 3D meshes and volumetric imaging data, collaborate closely with product managers, software engineers, clinical experts, and regulatory teams, improve algorithm robustness, accuracy, scalability, and performance across different clinical scenarios, contribute to validation activities and support the preparation of evidence required for clinical and regulatory processes, participate in technical discussions related to AI, computer vision, image analysis, and medical software development, support continuous improvement of engineering standards, development practices, and quality processes, depending on seniority, take ownership of technical areas, drive technical decisions, and mentor less experienced team members, Your profile: strong commercial experience in AI, machine learning, computer vision, or algorithm development roles, strong Python development skills with experience building production-grade software solutions, hands-on experience with deep learning frameworks and model development, strong understanding of computational geometry concepts and practical implementations, experience working with medical imaging technologies and healthcare datasets, practical experience processing and analyzing CT, MRI, echocardiography, or similar medical imaging modalities, strong experience with 3D data processing, segmentation, reconstruction, and mesh handling, experience optimizing and validating algorithms for accuracy, robustness, and performance, hands-on experience with PyTorch, NumPy, SciPy, VTK, or similar scientific computing and visualization libraries, strong analytical and problem-solving skills, ability to work effectively within multidisciplinary and international teams, excellent communication skills and ability to collaborate with both technical and non-technical stakeholders, experience working within Agile software development environments, strong attention to quality, reliability, and scientific rigor, Practical experience using AI-powered assistants (e. g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery. Work from the European Union region and a work permit are required. Nice to have: experience with TypeScript development, exposure to AWS cloud services and cloud-native development practices, experience working within regulated healthcare or medical device environments, familiarity with medical device development standards and healthcare regulatory requirements, experience working with major medical imaging, healthcare technology, or medical device vendors, fluent English communication skills, both written and spoken, German language skills are considered an advantage, Experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work. Interest in and familiarity with emerging AI-driven practices (e. g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches. Recruitment Process: CV review – HR call – Interview – Client Interview – Decision", "summaryDescription" : "Senior AI Algorithm Developer at Xebia. Skills: AI Algorithm Development, Medical Imaging, Deep Learning, 3D Image Processing. Develop AI algorithms. Build segmentation pipelines", "postedDate" : "2026-06-14T20:05:27.429", "createdAt" : "2026-06-14T20:05:27.429", "lastUpdated" : "2026-06-15T22:41:50.516", "ingestTimestamp" : "2026-06-14T20:05:27.429", "mongoId" : "6a2c92ed74d8ee00a0986dfe", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Python development", "Computational geometry implementation", "Medical imaging processing", "3D data processing", "Segmentation", "Reconstruction", "Mesh handling", "Algorithm optimization", "Algorithm validation", "Scientific computing", "Visualization libraries", "AI Algorithm Development", "Medical Imaging", "Deep Learning", "3D Image Processing", "Software solutions", "Model development", "Image processing", "Computational modeling", "Software engineering", "Medical imaging", "Cardiac analysis", "Cardiac visualization", "Cardiac measurement", "3D anatomical modeling", "3D anatomical analysis", "Clinical workflows", "Medical innovation", "Engineering standards", "Development practices", "Quality processes", "Technical decisions", "SDLC", "Agile software development", "Medical technology", "Healthcare domain", "Cardiac imaging", "Clinical decision-making", "AI-powered software", "Medical imaging technologies", "3D image processing", "Deep learning", "Healthcare environment", "Artificial intelligence", "Computational geometry", "Medical device development", "Healthcare regulatory requirements", "Medical imaging modalities", "GenAI in SDLC", "PyTorch", "NumPy", "SciPy", "VTK", "Claude Code", "GitHub Copilot", "Cursor" ], "skillCount" : 56, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.97 }, { "id" : "68c2e430f8b1b0376634c790", "title" : "System Architect, Hardware Architecture", "company" : "Amazon.com Services LLC", "industry" : "Hardware Development, ASIC, alexa and amazon devices", "salary" : { "min" : 129800.0, "max" : 212800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T04:02:39.666", "fingerprint" : "415c298d6347dc17a807bafa8c8636d485d8b9b837dde55f569c8d7f39fd1f18", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3074098/apply", "externalId" : "172ed7e6-4872-4cb3-9215-d64a6cc71d11", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SoC, Silicon, Computer architecture, Machine learning, Embedded software, System architecture, Compute architecture, ML accelerators, Video encoders, Video decoders, Embedded Linux, System C, RTL design, FPGA design, Python, C/C++, Java", "professionalSkills" : [ "System design", "Architecture definition", "Technical lead", "Technology roadmaps", "Product requirements", "User experience tradeoffs" ], "hardSkillsList" : [ "Silicon design", "System performance benchmarking", "Profiling", "Benchmarking", "Prototyping" ], "softSkillsList" : [ "Communication skills" ], "hardSkills" : [ { "name" : "Silicon design", "level" : "intermediate" }, { "name" : "System performance benchmarking", "level" : "intermediate" }, { "name" : "Profiling", "level" : "intermediate" }, { "name" : "Benchmarking", "level" : "intermediate" }, { "name" : "Prototyping", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Communication skills" } ], "majorSkills" : "System architecture, Hardware architecture, SoC architecture, Silicon design", "majorSkillsList" : [ "System architecture", "Hardware architecture", "SoC architecture", "Silicon design" ], "coreResponsibilities" : "Define system architecture for consumer products, Serve as lead technical point of contact, Interpret product concept requirements, Clarify product concept requirements, Define system architecture meeting product requirements, Understand and clarify requirements, Understand and clarify user experience tradeoffs, Drive key design decisions, Select device SoC, Select compute architecture, Select system components, Document decisions in system architecture specification, Provide design guidance to engineering team, Track market trends, Interface with silicon vendors, Interface with IP vendors, Define roadmaps for compute IP, Define roadmaps for silicon platforms, Dive deep into silicon design, Define specs for next-gen silicon platforms, Work with silicon suppliers to implement, Work on concepts with reference architecture, Work on emerging product ideas, Stay engaged as system technical lead, Ensure product requirements are met, Work closely with multi-disciplinary product team, Validate architecture assumptions through profiling, Validate architecture assumptions through benchmarking, Lead cross-functional group to drive architecture decisions, Contribute towards developing IP, File patents, Gather business product requirements, Gather functional product requirements, Translate requirements into technical specifications, Translate requirements into architectures, Perform architecture feasibility analysis, Present architecture tradeoffs, Present architecture recommendations, Develop and document architecture specifications, Serve as technical lead throughout development lifecycle, Provide design reviews for engineers, Provide validation reviews for engineers, Drive technology roadmaps, Foster innovation, Meet needs of long-term product roadmap, Work closely with silicon suppliers, Work closely with component suppliers, Influence supplier roadmaps", "teamCollaboration" : "Cross-functional team; Multi-disciplinary product team; Cross-functional group", "projectManagementSkills" : [ "Scoping", "Planning", "Conception", "Design", "Implementation", "Testing", "Delivery", "Maintenance" ], "domainKnowledge" : "Consumer electronics; SoC architecture; Silicon design; Computer architecture; Machine learning; Embedded Linux; Video encoders; Video decoders; Audio; Wireless; Sensors; Power management; System performance benchmarking", "domainList" : [ "consumer-electronics", "soc-architecture", "silicon-design", "computer-architecture", "machine-learning", "embedded-linux", "video-encoders", "video-decoders", "audio", "wireless", "sensors", "power-management", "system-performance-benchmarking" ], "domainSpecificKnowledge" : [ "Consumer electronics", "SoC architecture", "Silicon design", "Computer architecture", "Machine learning", "Embedded Linux", "Video encoders", "Video decoders", "Audio", "Wireless", "Sensors", "Power management", "System performance benchmarking" ], "toolProficiency" : [ "System C", "RTL design", "FPGA design" ], "communicationSkills" : "Document technical designs; Present technical designs", "documentationSkills" : "Document decisions; System architecture specification", "innovationCreativity" : "Develop IP; File patents", "problemSolvingSkills" : "Architecture feasibility analysis; Profiling; Benchmarking; Prototyping", "qualificationsBasic" : "3+ years industry experience, MS in Computer Engineering, MS in Electrical Engineering, MS in related fields, Background in SoC/Silicon engineering, Background in computer architecture, Background in machine learning, Background in embedded software", "qualificationsPreferred" : "Understanding of heterogenous SoC architectures, Experience driving architecture decisions, Experience driving design decisions, Expertise in computer architecture, Expertise in SoC architecture, Expertise in silicon design, Expertise in graphics and multimedia, Expertise in embedded Linux, Expertise in video encoders/decoders, Expertise in applied machine learning, Expertise in ML accelerators, Expertise in audio, Expertise in wireless, Expertise in sensors, Expertise in power management, Expertise in system performance benchmarking, Software development for prototyping, Hardware development for prototyping, Clear documentation of technical designs, Clear presentation of technical designs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Amazon Devices team designs high-profile consumer electronics, including the best-selling Amazon Echo, FireTV, Fire Tablets, Kindle, and Astro family of products. We are looking for a motivated individual contributor with a solid hardware or silicon background, great communication skills, and the passion to collaborate with a cross-functional team to drive system architecture across Amazon devices. Key job responsibilities As a System Architect, you will be responsible for defining the system architecture for consumer products such as Echo, FireTV and a range of new concepts not yet announced. You will serve as the lead technical point of contact that the product management and business teams rely on to interpret and clarify the product concept's desired user experience and requirements. You will define system architecture that can meet product requirements and work closely with the business team to understand and clarify requirements and user experience tradeoffs. In the process of architecture definition, you will drive key design decisions such as edge-cloud compute partition, device SoC selection, compute architecture (CPU, DSP, GPU and ML accelerators), and other system component selections (chipsets, memory, storage). You will document the decisions in a system architecture specification document that will provide relevant design guidance for the engineering team. Besides directly defining product architectures, you will track market trends, interface directly with silicon and IP vendors, and define roadmaps for the whole organization on the next generation compute IP and silicon platforms. You will dive deep into silicon design, define specs for the next-gen silicon platforms and work with our silicon suppliers to implement them. You will work on concepts that may have an existing reference architecture as well as emerging product ideas that do not have any precedence. As the product is developed from the initial concept, prototype development, validation, to production you will stay engaged as the system technical lead to ensure the product requirements are being met. Throughout this process you work closely with multi-disciplinary product team including Program Management, Electrical Engineering, Software Engineering, ML Science, Product Design, Industrial Design, Reliability, and Operations. You are a hands-on engineer who is close to the details and validates your architecture assumptions through profiling and benchmarking. You have sufficient breadth across system domains to be able to independently lead a cross-functional group to drive architecture decisions. Besides breadth, you also typically bring depth in one or more areas of expertise to the architecture team, such as computer architecture, SoC architecture, silicon design, graphics and multimedia, embedded Linux, video encoders/decoders, applied machine learning, ML accelerators, audio, wireless, sensors, power management, system performance benchmarking, etc. As part of technology development, you contribute towards developing IP and filing patents. A day in the life Gather business and functional product requirements from external/internal customers, and translate these requirements into technical specifications and architectures that are robust, scalable and supportable Perform architecture feasibility analysis, including profiling, benchmarking and prototyping new features (with the larger team) on available silicon platforms. Present architecture tradeoffs and recommendations to senior management (VP level) Collaborate with cross-functional teams to develop and document architecture specifications that serve as a reference for development teams Serve as a technical lead throughout the full development lifecycle, end-to-end, from scoping, planning, conception, design, implementation and testing, to delivery and maintenance Provide design and validation reviews for other engineers, including feedback on architecture and design issues, as well as integration, performance and scalability. Drive technology roadmaps in areas of expertise to foster innovation and meet the needs of the long-term product roadmap. Work closely with silicon and component suppliers and influence their roadmaps to meet Amazon Lab126 needs. About the team The system architecture team is responsible for architecting Amazon Lab126 products including Echo, Fire Tablets, FireTV, Kindle eReaders, Hearables, Wearables and IoT. The team also owns the chipset and IP technology roadmap and drives strategies that enable reuse and scale across Amazon devices. The team is comprised of architects with varied hardware and software backgrounds. We are always on the lookout for capable architects who can raise the bar and add technical expertise and depth to drive architectures for next-gen devices and emerging concepts. Come be a part of the system architecture team in Lab126 Hardware Architecture and technology! Employees who have experience with consumer electronics devices and have been EEs, embedded software engineers, systems engineers, etc. and would like to contribute at the architecture level to the exciting Lab126 roadmap are encouraged to apply. Basic Qualifications: 3+ years of industry experience or MS in Computer Engineering, Electrical Engineering, or related fields Background or education in SoC/Silicon engineering, computer architecture, machine learning or embedded software Preferred Qualifications: Strong understanding of heterogenous SoC architectures Experience in driving architecture and design decisions for consumer electronics devices Expertise in at least two of the following areas: computer architecture, SoC architecture, silicon design, graphics and multimedia, embedded Linux, video encoders/decoders, applied machine learning, ML accelerators, audio, wireless, sensors, power management, system performance benchmarking, etc. Hands-on skills in either software development for prototyping (Python, C/C++, Java, etc.) or hardware development (System C, RTL design, FPGA design) Strong communication skills, ability to clearly document and present technical designs Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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 $129,800/year in our lowest geographic market up to $212,800/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" : "System Architect, Hardware Architecture at Amazon.com Services LLC. Skills: System architecture, Hardware architecture, SoC architecture, Silicon design. Define system architecture for consumer products. Serve as lead technical point of contact", "postedDate" : "2026-06-13T10:49:59.218", "createdAt" : "2026-06-13T10:49:59.218", "lastUpdated" : "2026-06-15T04:02:39.666", "ingestTimestamp" : "2026-06-13T10:49:59.218", "mongoId" : "68c2e430f8b1b0376634c790", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3074098/apply", "salaryAnnualMin" : 129800, "salaryAnnualMax" : 212800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Silicon design", "System performance benchmarking", "Profiling", "Benchmarking", "Prototyping", "Communication skills", "System architecture", "Hardware architecture", "SoC architecture", "System design", "Architecture definition", "Technical lead", "Technology roadmaps", "Product requirements", "User experience tradeoffs", "Scoping", "Planning", "Conception", "Design", "Implementation", "Testing", "Delivery", "Maintenance", "Consumer electronics", "Computer architecture", "Machine learning", "Embedded Linux", "Video encoders", "Video decoders", "Audio", "Wireless", "Sensors", "Power management", "System C", "RTL design", "FPGA design" ], "skillCount" : 36, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consumer Electronics" }, { "id" : "6a2c7dc574d8ee00a0950bef", "title" : "Hardware Engineer (Compute Server)", "company" : "Ubiquiti Inc.", "industry" : "Technology", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "TWD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Hardware Engineer in Taiwan, adjusted for the technology industry and company size." }, "location" : "Taiwan", "locations" : [ "Taiwan" ], "timestamp" : "2026-06-15T07:31:09.957", "fingerprint" : "27a5281a4e106153b496f08f4452167ae9e792757c20e35cb1d58788514c51a7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ubiquiti/jobs/4087980009", "externalId" : "4087980009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Taiwan", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Taiwan", "minimumEducation" : "Master's", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "DDR5, PCIe Gen4, PCIe Gen5, PCIe Gen6, NVMe, SAS3, SAS4, SATA3, SerDes, x86, ARM, OrCAD Capture, Cadence Allegro, Mentor PADS", "professionalSkills" : [ "Circuit design", "Interface architecture", "Signal validation", "Power delivery", "Thermal management", "EMIC compliance", "Product architecture" ], "hardSkillsList" : [ "Hardware development", "Circuit design", "Interface architecture", "Signal validation", "Power delivery", "Thermal management", "EMIC compliance", "Lab instrumentation" ], "softSkillsList" : [ "Innovation", "Problem solving" ], "hardSkills" : [ { "name" : "Hardware development", "level" : "intermediate" }, { "name" : "Circuit design", "level" : "intermediate" }, { "name" : "Interface architecture", "level" : "intermediate" }, { "name" : "Signal validation", "level" : "intermediate" }, { "name" : "Power delivery", "level" : "intermediate" }, { "name" : "Thermal management", "level" : "intermediate" }, { "name" : "EMIC compliance", "level" : "intermediate" }, { "name" : "Lab instrumentation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Innovation" }, { "name" : "Problem solving" } ], "majorSkills" : "Compute Server Design, Storage Systems, Hardware Validation", "majorSkillsList" : [ "Compute Server Design", "Storage Systems", "Hardware Validation" ], "coreResponsibilities" : "Design next-generation Storage Server solutions, Build high-density NAS, Build SAN systems, Build unified storage systems, Collaborate with R&D, Perform board bring-up, Perform debugging, Perform testing, Perform validation, Build hardware test plans, Execute hardware test plans, Build hardware validation plans, Execute hardware validation plans, Focus on data integrity, Focus on long-term storage reliability, Diagnose hardware challenges, Resolve hardware challenges, Ensure rock-solid performance, Ensure product reliability, Own Hardware Requirements Document, Maintain Hardware Requirements Document, Define system-level specifications, Define component-level specifications, Conduct competitive teardowns, Conduct feature benchmarking", "teamCollaboration" : "Cross-functional teams; Global development teams", "domainKnowledge" : "Storage Server; NAS; SAN; Unified storage; High-speed SerDes; Server power delivery; Thermal management; EMIC compliance", "domainList" : [ "storage-server", "nas", "san", "unified-storage", "high-speed-serdes", "server-power-delivery", "thermal-management", "emic-compliance" ], "domainSpecificKnowledge" : [ "Storage Server", "NAS", "SAN", "Unified storage", "High-speed SerDes", "Server power delivery", "Thermal management", "EMIC compliance" ], "toolProficiency" : [ "OrCAD Capture", "Cadence Allegro", "Mentor PADS", "Oscilloscopes", "Logic analyzers", "Spectrum analyzers" ], "documentationSkills" : "Hardware Requirements Document", "innovationCreativity" : "Innovation; New architectures; Innovative product concepts", "problemSolvingSkills" : "Diagnose complex hardware challenges; Resolve complex hardware challenges", "outcomesObjectives" : "Deliver production-grade designs; Ensure rock-solid performance; Ensure product reliability", "qualificationsBasic" : "MS degree in Electrical Engineering, 8+ years hardware development experience, Digital and analog circuit design expertise, High-speed interface architecture experience, Signal validation experience, Server-grade CPUs experience, PCH/Chipset integration experience, Server power delivery understanding, Advanced thermal management understanding, EMIC compliance design understanding, Proficient with EDA tools, Highly skilled with lab instrumentation", "qualificationsPreferred" : "Hardware for enterprise storage systems experience, Hardware for rackmount servers experience, Hardware for HPC platforms experience, Familiarity with BMC, Familiarity with IPMI, Familiarity with server management standards, Highly organized managing complex hardware, Proactive approach exploring new architectures, Driving innovative product concepts, Self-motivation and ownership mindset, Lead complex technical issues to resolution", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Role Summary We are looking for a highly driven Hardware Engineer who is passionate about innovation and eager to build extraordinary products. In this role, you will help design next-generation Storage Server solutions, including high-density NAS, SAN, and unified storage systems with real global impact. You will collaborate directly with R take a hands-on role in board bring-up, debugging, testing, and validation. Build and execute comprehensive hardware test and validation plans, focusing on data integrity and long-term storage reliability. Diagnose and resolve complex hardware challenges—from early-stage design issues to in-field anomalies—to ensure rock-solid performance and product reliability. Own and maintain the Hardware Requirements Document, ensuring a complete and accurate definition of system-level and component-level specifications. Conduct competitive teardowns and feature benchmarking to inform product and architecture decisions. Requirements MS degree in Electrical Engineering or a related technical discipline. 8+ years of hands-on hardware development experience with a proven record of delivering production-grade designs. Strong foundation in core electrical engineering principles with demonstrated expertise in digital and analog circuit design. Deep experience in high-speed interface architecture and signal validation, including DDR5, PCIe Gen4/5/6, NVMe, SAS3/SAS4, and SATA3. Practical experience with high-speed SerDes (up to 56G/112G), server-grade CPUs (x86/ARM), and PCH/Chipset integration. Solid understanding of server power delivery (VRM, PMIC) and advanced thermal management for high-density systems. Solid understanding of thermal management and EMI/EMC compliance design practices. Proficient with EDA tools for schematic and PCB development (e.g., OrCAD Capture, Cadence Allegro, Mentor PADS). Highly skilled with lab instrumentation—oscilloscopes, logic analyzers, spectrum analyzers, and comfortable with hands-on debugging. Excellent communication and collaboration skills, with the ability to thrive in a fast-moving, cross-functional, and highly adaptive startup environment. Preferred Qualifications Experience developing hardware for enterprise-class storage systems, rackmount servers, or high-performance computing (HPC) platforms. Familiarity with BMC (Baseboard Management Controller), IPMI, and server management standards. Highly organized in managing complex hardware platforms, with a proactive approach to exploring new architectures and driving innovative product concepts. Strong self-motivation and ownership mindset, with a demonstrated ability to lead complex technical issues to full resolution. Benefits An international work environment with opportunities to collaborate closely with global development teams. Excellent working conditions in a supportive and innovative atmosphere. Competitive compensation package, including attractive salary, perks, and benefits. Comprehensive group and health insurance coverage. Complimentary drinks and snacks are available in the office.", "summaryDescription" : "Hardware Engineer (Compute Server) at Ubiquiti Inc.. Skills: Compute Server Design, Storage Systems, Hardware Validation. Design next-generation Storage Server solutions. Build high-density NAS", "postedDate" : "2026-06-13T16:51:04.910", "createdAt" : "2026-06-13T16:51:04.910", "lastUpdated" : "2026-06-15T07:31:09.957", "ingestTimestamp" : "2026-06-13T16:51:04.910", "mongoId" : "6a2c7dc574d8ee00a0950bef", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Hardware development", "Circuit design", "Interface architecture", "Signal validation", "Power delivery", "Thermal management", "EMIC compliance", "Lab instrumentation", "Innovation", "Problem solving", "Compute Server Design", "Storage Systems", "Hardware Validation", "Product architecture", "Storage Server", "NAS", "SAN", "Unified storage", "High-speed SerDes", "Server power delivery", "OrCAD Capture", "Cadence Allegro", "Mentor PADS", "Oscilloscopes", "Logic analyzers", "Spectrum analyzers" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "400-research-and-development", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology" }, { "id" : "69c94a659bc74574cbbb2fb6", "title" : "System Architect, Hardware Architecture", "company" : "Amazon.com Services LLC", "industry" : "Hardware Development, ASIC, alexa and amazon devices", "salary" : { "min" : 157300.0, "max" : 212800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T01:44:35.724", "fingerprint" : "fe93fdd94440e5ed4e7f8f1bb5c7d8c94966a5a28e2234910919cf1acfb77c45", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3194404/apply", "externalId" : "e82aeaf7-efdb-46cb-a8f2-93bb9b94e210", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "ARM, DSP ISAs, 4G, 5G NR, WiMAX, 802.11ad, Python, Perl", "professionalSkills" : [ "System architecture", "Hardware architecture", "Silicon design", "Compute architecture", "SoC selection", "ML accelerators", "Performance benchmarking" ], "hardSkillsList" : [ "Architecture definition", "Silicon supplier interface", "Technology roadmaps", "Formal verification", "End-to-end checking" ], "hardSkills" : [ { "name" : "Architecture definition", "level" : "intermediate" }, { "name" : "Silicon supplier interface", "level" : "intermediate" }, { "name" : "Technology roadmaps", "level" : "intermediate" }, { "name" : "Formal verification", "level" : "intermediate" }, { "name" : "End-to-end checking", "level" : "intermediate" } ], "majorSkills" : "Hardware architecture, System architecture, Silicon design", "majorSkillsList" : [ "Hardware architecture", "System architecture", "Silicon design" ], "coreResponsibilities" : "Define system architecture, Serve as lead technical point, Define system architecture, Work closely with business team, Drive key design decisions, Document decisions, Track market trends, Interface with silicon vendors, Define roadmaps, Dive deep into silicon design, Define specs for silicon platforms, Work with silicon suppliers, Stay engaged as system technical lead, Gather business and functional requirements, Translate requirements into technical specifications, Perform architecture feasibility analysis, Present architecture tradeoffs, Develop and document architecture specifications, Serve as technical lead, Provide design and validation reviews, Drive technology roadmaps, Work closely with silicon suppliers", "teamCollaboration" : "Cross-functional team; Multi-disciplinary product team; Cross-functional group", "projectManagementSkills" : [ "Scoping", "Planning", "Conception", "Design", "Implementation", "Testing", "Delivery", "Maintenance" ], "domainKnowledge" : "Consumer electronics; Hardware architecture; Silicon architecture; Computer architecture; SoC architecture; Graphics and multimedia; Embedded Linux; Video encoders/decoders; Applied machine learning; ML accelerators; Audio; Wireless; Sensors; Power management; System performance benchmarking; RF standards; Broadband wireless standards", "domainList" : [ "consumer-electronics", "hardware-architecture", "silicon-architecture", "computer-architecture", "soc-architecture", "graphics-and-multimedia", "embedded-linux", "video-encoders-decoders", "applied-machine-learning", "ml-accelerators", "audio", "wireless", "sensors", "power-management", "system-performance-benchmarking", "rf-standards", "broadband-wireless-standards" ], "domainSpecificKnowledge" : [ "Consumer electronics", "Hardware architecture", "Silicon architecture", "Computer architecture", "SoC architecture", "Graphics and multimedia", "Embedded Linux", "Video encoders/decoders", "Applied machine learning", "ML accelerators", "Audio", "Wireless", "Sensors", "Power management", "System performance benchmarking", "RF standards", "Broadband wireless standards" ], "toolProficiency" : [ "Python", "Perl" ], "communicationSkills" : "Communication skills; Technical specifications; Architecture specifications; Executive presentations", "documentationSkills" : "System architecture specification document", "innovationCreativity" : "Filing patents; Prototype development", "problemSolvingSkills" : "Debugging skills; Architecture feasibility analysis; Profiling; Benchmarking", "qualificationsBasic" : "Bachelor's degree in Electrical Engineering, Experience identifying bugs, Experience verifying at multiple levels", "qualificationsPreferred" : "Master's degree in Electrical or Communications Engineering, Experience with formal verification techniques, Experience with ARM and various DSP ISAs, Experience with current and upcoming RF standards, Experience with industry standard tools and scripting languages", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Amazon Devices team designs high-profile consumer electronics, including the best-selling Amazon Echo, FireTV, Fire Tablets, Kindle, and Astro family of products. We are looking for a motivated individual contributor with a solid hardware or silicon background, great communication skills, and the passion to collaborate with a cross-functional team to drive system architecture across Amazon devices. Key job responsibilities As a System Architect, you will be responsible for defining the system architecture for consumer products such as Echo, FireTV and a range of new concepts not yet announced. You will serve as the lead technical point of contact that the product management and business teams rely on to interpret and clarify the product concept's desired user experience and requirements. You will define system architecture that can meet product requirements and work closely with the business team to understand and clarify requirements and user experience tradeoffs. In the process of architecture definition, you will drive key design decisions such as edge-cloud compute partition, device SoC selection, compute architecture (CPU, DSP, GPU and ML accelerators), and other system component selections (chipsets, memory, storage). You will document the decisions in a system architecture specification document that will provide relevant design guidance for the engineering team. Besides directly defining product architectures, you will track market trends, interface directly with silicon and IP vendors, and define roadmaps for the whole organization on the next generation compute IP and silicon platforms. You will dive deep into silicon design, define specs for the next-gen silicon platforms and work with our silicon suppliers to implement them. You will work on concepts that may have an existing reference architecture as well as emerging product ideas that do not have any precedence. As the product is developed from the initial concept, prototype development, validation, to production you will stay engaged as the system technical lead to ensure the product requirements are being met. Throughout this process you work closely with multi-disciplinary product team including Program Management, Electrical Engineering, Software Engineering, ML Science, Product Design, Industrial Design, Reliability, and Operations. You are a hands-on engineer who is close to the details and validates your architecture assumptions through profiling and benchmarking. You have sufficient breadth across system domains to be able to independently lead a cross-functional group to drive architecture decisions. Besides breadth, you also typically bring depth in one or more areas of expertise to the architecture team, such as computer architecture, SoC architecture, silicon design, graphics and multimedia, embedded Linux, video encoders/decoders, applied machine learning, ML accelerators, audio, wireless, sensors, power management, system performance benchmarking, etc. As part of technology development, you contribute towards developing IP and filing patents. A day in the life Gather business and functional product requirements from external/internal customers, and translate these requirements into technical specifications and architectures that are robust, scalable and supportable Perform architecture feasibility analysis, including profiling, benchmarking and prototyping new features (with the larger team) on existing and upcoming silicon platforms. Present architecture tradeoffs and recommendations to senior management (VP level) Collaborate with cross-functional teams to develop and document architecture specifications that serve as a reference for development teams Serve as a technical lead throughout the full development lifecycle, end-to-end, from scoping, planning, conception, design, implementation and testing, to delivery and maintenance Provide design and validation reviews for other engineers, including feedback on architecture and design issues, as well as integration, performance and scalability. Drive technology roadmaps in areas of expertise to foster innovation and meet the needs of the long-term product roadmap. Work closely with silicon and component suppliers and influence their roadmaps to meet Amazon Lab126 needs. About the team The system architecture team is responsible for architecting Amazon Lab126 products including Echo, Fire Tablets, FireTV, Kindle eReaders, Hearables, Wearables and IoT. The team also owns the chipset and IP technology roadmap and drives strategies that enable reuse and scale across Amazon devices. The team is comprised of architects with varied hardware and software backgrounds. We are always on the lookout for capable architects who can raise the bar and add technical expertise and depth to drive architectures for next-gen devices and emerging concepts. Come be a part of the system architecture team in Lab126 Hardware Architecture and technology! Employees who have experience with consumer electronics devices and have been EEs, embedded software engineers, systems engineers, etc. and would like to contribute at the architecture level to the exciting Lab126 roadmap are encouraged to apply. Basic Qualifications: - Bachelor's degree in Electrical Engineering or a related field - Experience identifying bugs in architecture, algorithms, functionality, and performance with strong overall debugging skills - Experience verifying at multiple levels of logic from IP blocks to SoCs to full system testing Preferred Qualifications: - Master's degree in Electrical or Communications Engineering or a related field - Experience with formal verification techniques including abstraction and end-to-end checking - Experience with ARM and various DSP ISAs - Experience with current and upcoming RF standards in cellular (4G/5G NR), WiMAX, 802.11ad, microwave backhaul, or related broadband wireless standards - Experience with industry standard tools and scripting languages (Python or Perl) for automation Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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, CA, Sunnyvale - 157,300.00 - 212,800.00 USD annually", "summaryDescription" : "System Architect, Hardware Architecture at Amazon.com Services LLC. Skills: Hardware architecture, System architecture, Silicon design. Define system architecture. Serve as lead technical point", "postedDate" : "2026-06-13T03:38:12.016", "createdAt" : "2026-06-13T03:38:12.016", "lastUpdated" : "2026-06-15T01:44:35.724", "ingestTimestamp" : "2026-06-13T03:38:12.016", "mongoId" : "69c94a659bc74574cbbb2fb6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3194404/apply", "salaryAnnualMin" : 157300, "salaryAnnualMax" : 212800, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Architecture definition", "Silicon supplier interface", "Technology roadmaps", "Formal verification", "End-to-end checking", "Hardware architecture", "System architecture", "Silicon design", "Compute architecture", "SoC selection", "ML accelerators", "Performance benchmarking", "Scoping", "Planning", "Conception", "Design", "Implementation", "Testing", "Delivery", "Maintenance", "Consumer electronics", "Silicon architecture", "Computer architecture", "SoC architecture", "Graphics and multimedia", "Embedded Linux", "Video encoders/decoders", "Applied machine learning", "Audio", "Wireless", "Sensors", "Power management", "System performance benchmarking", "RF standards", "Broadband wireless standards", "Python", "Perl" ], "skillCount" : 37, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consumer Electronics" }, { "id" : "6a2c766a74d8ee00a0939f3e", "title" : "Solution Architect - Framework/Java", "company" : "CADRE GOVERNMENT SOLUTIONS", "industry" : "Government Services", "salary" : { "min" : 145000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Solution Architect in the United States, adjusted for the government industry and remote work." }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T09:08:33.326", "fingerprint" : "66cba406fc8ab81fdd572563b32e662ff6d1dc5c132272b662d5d075577d6cff", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/cadregs/e475cef7-ed2c-4ae3-b855-a6bc9a91e556/application", "externalId" : "e475cef7-ed2c-4ae3-b855-a6bc9a91e556", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "rawDescription" : "Solution Architect – Java Overview We are seeking a highly skilled Solution Architect –Java to lead the design, modernization, and integration of enterprise solutions. The ideal candidate will possess deep expertise in Java-based enterprise architectures, cloud-native technologies, and federal system integration within highly regulated environments. This role is responsible for translating business and technical requirements into scalable, secure, and maintainable solution architectures that support mission-critical veteran services. The Solution Architect will collaborate closely with business stakeholders, development teams, cybersecurity personnel, DevSecOps engineers, and federal leadership to drive modernization initiatives, improve interoperability, and ensure compliance with VA and federal technology standards. Key Functions · Lead the architecture, design, and technical strategy for enterprise applications and modernization efforts. · Design scalable, secure, and high-performing Java-based solutions using modern architectural patterns and cloud technologies. · Develop solution blueprints, architecture diagrams, integration patterns, and technical roadmaps aligned with VA enterprise architecture standards. · Provide technical leadership for microservices, APIs, event-driven systems, and enterprise integration initiatives. · Collaborate with product owners, business analysts, developers, and infrastructure teams to translate requirements into end-to-end technical solutions. · Ensure compliance with VA security requirements, FedRAMP, Zero Trust, Section 508, and other federal standards. · Guide implementation of CI/CD pipelines, DevSecOps best practices, automated testing, and infrastructure-as-code methodologies. · Conduct architecture reviews, code reviews, and technical assessments to ensure solution quality and maintainability. · Evaluate emerging technologies and recommend modernization opportunities that improve performance, scalability, and operational efficiency. · Support system integration activities involving VA enterprise services, legacy applications, external vendors, and third-party platforms. · Troubleshoot complex production issues and provide architectural guidance for performance tuning and optimization. · Mentor development teams and provide leadership on software engineering best practices and architectural governance. · Participate in Agile ceremonies, technical planning sessions, and stakeholder briefings. Minimum Qualifications · Bachelor’s degree in Computer Science, Information Systems, Engineering, or related technical discipline. · 10+ years of IT experience with at least 5 years in Solution Architecture or Enterprise Architecture roles. · Extensive hands-on experience developing enterprise applications using Java/J2EE technologies. · Strong experience with Spring Boot, RESTful APIs, microservices architecture, and distributed systems. · Experience supporting federal government programs, preferably within the Department of Veterans Affairs. · Knowledge of VA systems, processes, or enterprise integration environments. · Experience designing cloud-based solutions in AWS, Azure, or hybrid cloud environments. · Strong understanding of DevSecOps, CI/CD pipelines, containerization, and orchestration technologies such as Docker and Kubernetes/OpenShift. · Experience with relational and NoSQL databases including Oracle, PostgreSQL, MongoDB, or similar technologies. · Knowledge of enterprise integration patterns, message queues, and API management platforms. · Familiarity with cybersecurity standards, identity management, and secure software development lifecycle practices. · Excellent written and verbal communication skills with the ability to present technical concepts to both technical and non-technical audiences. · Ability to obtain and maintain a Public Trust or other required federal clearance. Preferred Qualifications · Master’s degree in Computer Science, Software Engineering, or related field. · Experience with VA Enterprise Architecture frameworks, VAEC, and federal digital transformation initiatives. · AWS, Azure, TOGAF, SAFe, or Java-related certifications. · Experience with OpenShift, Kubernetes, Terraform, Ansible, or infrastructure automation tools. · Knowledge of event streaming technologies such as Kafka or RabbitMQ. · Experience implementing observability and monitoring solutions using tools such as Splunk, ELK, Grafana, or Prometheus. · Familiarity with Section 508 accessibility compliance and federal usability standards. · Experience working in Agile/Scrum environments supporting large-scale federal programs. · Knowledge of AI/ML integration patterns, robotic process automation (RPA), or advanced analytics platforms is a plus. · Previous experience leading distributed technical teams in complex enterprise environments. How We’ll Support You: Keeping people satisfied is no small undertaking. At CADRE, our commitment to supporting employees extends further than conventional benefits. While we offer competitive industry-standard packages, our focus goes beyond transactional care. This is why we developed the CADRE Cares Program which encompasses a range of benefits and initiatives aimed at enhancing the overall well-being and job satisfaction of employees. We want to support our employees at the times they need it the most. We envision unwavering commitment to our employees that sets a new standard for compassionate and impactful business practices. CADRE Convoy Program: A dedicated support system designed to cater to your individual needs and enhance your overall well-being, no matter where you are. CADRE Connect Program: A series of intentional touchpoints, events, and initiatives that promote open communication, and encourages continuous growth and development among its team members. CADRE Compensation Program: 401k Safe Harbor Plans with matching & immediate vesting Medical, Dental, & Vision Plans Paid Time Off: Holidays, Vacation, Wellness, & Personal Leave Plans Continuing Education & Training Budget Office & Technology Budget Cell Phone Budget Wellness & Healthy Living Budget Awards & Bonuses Profit Sharing Plans Who We Are: We’re more than a government contracting company. We’re a cadre, a specialized team finely honed in providing innovative solutions that meet the complex and evolving needs of government agencies. We strategically mobilize, manage, and maintain specialized cadres using our RO(M³) model. CADRE GOVERNMENT SOLUTIONS is an Equal Opportunity and Affirmative Action Employer. We welcome and encourage diversity in our workforce. It is the policy of CADRE GOVERNMENT SOLUTIONS to provide equal employment opportunity to all employees and qualified applicants without regard to race, color, religion, national origin, sex, age, disability, pregnancy, sexual orientation, gender identity, genetic information, protected veteran status, or any other protected characteristic under federal, state, or local law.", "summaryDescription" : "Solution Architect - Framework/Java at CADRE GOVERNMENT SOLUTIONS", "createdAt" : "2026-06-14T04:58:58.898", "lastUpdated" : "2026-06-15T09:08:33.326", "ingestTimestamp" : "2026-06-14T04:58:58.898", "mongoId" : "6a2c766a74d8ee00a0939f3e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c68e174d8ee00a09051c4", "title" : "Senior Electrical Engineer - Compute Hardware", "company" : "Applied Intuition, Inc.", "industry" : "Vehicle OS", "salary" : { "min" : 220000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale", "locations" : [ "Sunnyvale" ], "timestamp" : "2026-06-16T01:30:33.926", "fingerprint" : "44e5bc9ff3c4a1c5681fde94e7d9acb95d94c6b554b118b9d715db64b13b7e19", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/applied/852b1c5c-c5fb-48dd-bd28-f59847a8ff08/application", "externalId" : "852b1c5c-c5fb-48dd-bd28-f59847a8ff08", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "ASIC, FPGA, Digital design, Power delivery, Signal integrity, Thermal analysis, PCB layout, Hardware bring-up, Python, Perl, Git", "professionalSkills" : [ "System design", "Hardware architecture" ], "hardSkillsList" : [ "High-speed design", "Debug hardware" ], "hardSkills" : [ { "name" : "High-speed design", "level" : "intermediate" }, { "name" : "Debug hardware", "level" : "intermediate" } ], "majorSkills" : "Compute hardware, ASIC/FPGA design", "majorSkillsList" : [ "Compute hardware", "ASIC/FPGA design" ], "coreResponsibilities" : "Design compute hardware systems, Develop ASIC/FPGA designs, Perform high-speed digital design, Analyze power delivery networks, Conduct signal integrity analysis, Perform thermal analysis, Oversee PCB layout, Execute hardware bring-up, Debug hardware issues, Collaborate with software teams", "teamCollaboration" : "Cross-functional teams; Software teams", "domainKnowledge" : "Compute hardware; ASIC design; FPGA design; Machine learning accelerators; GPU architecture; CPU architecture; DDR memory; PCIe interfaces; Networking interfaces", "domainList" : [ "compute-hardware", "asic-design", "fpga-design", "machine-learning-accelerators", "gpu-architecture", "cpu-architecture", "ddr-memory", "pcie-interfaces", "networking-interfaces" ], "domainSpecificKnowledge" : [ "Compute hardware", "ASIC design", "FPGA design", "Machine learning accelerators", "GPU architecture", "CPU architecture", "DDR memory", "PCIe interfaces", "Networking interfaces" ], "toolProficiency" : [ "Git" ], "problemSolvingSkills" : "Hardware debugging", "qualificationsBasic" : "Bachelor's degree in Electrical Engineering, 5+ years of experience in compute hardware development, Experience with ASIC/FPGA design flows, Experience with high-speed digital design, Experience with power delivery networks, Experience with signal integrity analysis, Experience with thermal analysis, Experience with PCB layout, Experience with hardware bring-up, Experience with debugging hardware issues", "qualificationsPreferred" : "Master's degree or PhD preferred, Experience with machine learning accelerators, Experience with GPU architecture, Experience with CPU architecture, Experience with DDR memory interfaces, Experience with PCIe interfaces, Experience with networking interfaces, Experience with scripting languages (Python, Perl), Experience with version control systems (Git)", "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. MEET OUR ENGINEERS ON THE VEHICLE OS TEAM! Vehicle OS is a flexible suite of products that help vehicle manufacturers develop, deploy, and update complete vehicle software and AI applications. Learn more about what the team is building, the team culture, and why it’s one of the most exciting projects at Applied Intuition. ABOUT THE ROLE Applied Intuition is looking for an electrical engineer with expertise in developing compute hardware products for next-generation electric and autonomous vehicles. This is a unique opportunity to work on challenging engineering problems on Applied Intuition's newest product and collaborate with Applied’s world-class internal and external development partners. AT APPLIED INTUITION, YOU WILL: - Design electrical schematics for automotive, off-road, and defense (optional) applications, incorporating SoCs/MCUs, power (SMPS, Linear), memory components (eMMC, DDR, NVMe), and peripherals from concept to production. - Design boards that use high & low speed digital interfaces (UART, SPI, I2C, USB, PCIe, MIPI, DP, Ethernet, etc), and automotive interfaces such as LIN, CAN, Flexray. Guide and oversee PCB layout, ensuring it meets DFx standards and adheres to performance, cost, mechanical, thermal, and reliability constraints. - Create detailed component block diagrams and engage with PCB/PCBA vendors for fabrication and assembly. - Collaborate with system, firmware, software, and integration teams to ensure successful bring-up and validation of the platform. - Develop and execute test plans to validate design performance and document results. - Stay updated on new technologies to ensure our solutions remain cutting-edge and align with industry best practices. WE'RE LOOKING FOR SOMEONE WHO HAS: - BS, MS, or PhD in Electrical Engineering or Computer Engineering - At least 5 years of hands-on hardware design experience with a strong grasp of digital design and interfaces, including PCIe Gen 3.0/4.0/5.0, Ethernet 1G-T/T1 and 10G-T1, DDR, LPDDR, I2C, SPI, eMMC, USB, UART, and GMSL. - Proficient in schematic capture and layout. - Skilled in using lab tools such as bench power supplies, multimeters, oscilloscopes, logic analyzers, and network analyzers. - In-depth understanding of PCB manufacturing, product delivery, and extensive experience in testing, validation, and troubleshooting of electrical systems. - Open-minded and collaborative team player, eager to assist others. - Excellent technical writing skills for clear communication and documentation. NICE TO HAVE: - Prior experience building automotive, robotics, off-road, defense, or other real-time hardware systems - Prior experience designing and building prototype vehicles or compute hardware platforms - Prior experience with high-volume production of hardware products - Prior experience building real-time HW systems with safety constraints - Experience with Formula SAE / Formula Electric or similar hands-on engineering programs - Prior experience with Altium Designer - Experience designing circuits that drive cameras and/or displays 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’s 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: $140,000 - $220,000 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" : "Senior Electrical Engineer - Compute Hardware at Applied Intuition, Inc.. Skills: Compute hardware, ASIC/FPGA design. Design compute hardware systems. 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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. 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Palma, Spain; Dublin, Ireland; Casablanca, Morocco", "experienceLevel" : "Manager", "technicalSkills" : "ML, Data", "professionalSkills" : [ "System design", "Data flows", "Architecture" ], "hardSkillsList" : [ "Matching", "Deduplication", "Data quality", "Entity resolution", "Classification", "Content enrichment", "Data automation" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Matching", "level" : "intermediate" }, { "name" : "Deduplication", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Entity resolution", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Content enrichment", "level" : "intermediate" }, { "name" : "Data automation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "coreResponsibilities" : "Own the mapping platform, Lead the team, Modernise systems, Modernise workflows, Build operating model, Turn fragmented data into inventory, Improve mapping quality, Reduce manual work, Reduce operational bottlenecks", "teamCollaboration" : "Engineering; Data/ML; Mapping operations", "domainKnowledge" : "Hotel inventory; Supplier data; Travel industry; API backbone; Travel ecosystem; Hotel mapping; Room mapping; Content mapping; Inventory quality; Cloud-native architecture; Distributed systems", "domainList" : [ "hotel-inventory", "supplier-data", "travel-industry", "api-backbone", "travel-ecosystem", "hotel-mapping", "room-mapping", "content-mapping", "inventory-quality", "cloud-native-architecture", "distributed-systems" ], "domainSpecificKnowledge" : [ "Hotel inventory", "Supplier data", "Travel industry", "API backbone", "Travel ecosystem", "Hotel mapping", "Room mapping", "Content mapping", "Inventory quality", "Cloud-native architecture", "Distributed systems" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "outcomesObjectives" : "Improve mapping quality at scale; Connect technical work to conversion; Connect technical work to supply quality; Connect technical work to customer experience; Connect technical work to revenue", "qualificationsBasic" : "Software engineering background, Computer science background, Understand backend systems, Understand data systems, Understand platform systems, Understand infrastructure systems, Led teams on data-heavy products, Mentor engineers, Raise technical bar", "qualificationsPreferred" : "Experience with matching, Experience with entity resolution, Experience with search, Experience with ranking, Experience with recommendations, Experience with classification, Experience with content enrichment, Experience with catalog quality, Experience with data quality automation, Experience with production ML systems, Experience with production data systems", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About the company At Nuitée, we are building the API backbone for the global travel industry. Founded in 2017, Nuitée is on a mission to transform a fragmented travel ecosystem with simple, scalable, and API-first infrastructure—think “Stripe for Travel.” By enabling seamless connectivity between hotels, OTAs, fintechs, super-apps, and businesses, some of which are entering the travel market for the first time, Nuitée empowers companies to deliver reliable travel products effortlessly. Our robust platform simplifies complex supplier networks, offering direct access to hotel inventory with better pricing, coverage, and technology. With teams across the globe, including hubs in London, New York, San Francisco, Palma de Mallorca and Casablanca, Nuitée has grown into a global infrastructure provider trusted by industry leaders like Hopper, Priceline, Google, and Uber. Now backed by leading VCs and world-class investors including leaders from Booking.com, Stripe, and Shopify, Nuitée is positioned to redefine the B2B travel market, streamline operations for hotels, and enable new applications through cutting-edge APIs. Nuitée is at the forefront of a revolution—delivering AI-powered, smarter, and more personalized travel experiences for a new era. About the role Remote in EU, or hybrid in Barcelona, Palma, Dublin, or Casablanca. This is an Engineering Manager role for someone who wants to stay close to hard technical and data problems. Nuitée is hiring an Engineering Manager to own the mapping platform that turns messy global hotel supply into accurate, trusted, sellable inventory. You’ll lead a business-critical domain where matching, deduplication, content enrichment, automation, and ML directly affect whether hotel inventory can be searched, trusted, booked, and sold. Every supplier describes the hotel world differently. The same hotel can appear under different IDs. Room types can be named and structured differently. Content can be incomplete, duplicated, mismatched, or attached to the wrong hotel or room. Cupid is our internal mapping platform. It covers hotel mapping, room mapping, content mapping, and the operational workflows that keep inventory quality high at scale. Your role is to lead the team behind it, modernise the systems and workflows, and build a clearer operating model across engineering, data/ML, and mapping operations. A good way to think of it is: you turn fragmented supplier data into reliable inventory that customers can search, trust, book, and sell. What makes it interesting for you You own a hard, specific domain at the core of hotel inventory quality You stay close to technical decisions, architecture, data flows, and tradeoffs You work on production ML problems around matching, classification, enrichment, automation, and data quality You modernise a mature platform with real room to improve the systems, workflows, and team structure Your work connects directly to conversion, supply quality, customer experience, and revenue This is a high-ownership role with high expectations, and it comes with meaningful equity in the company. Nuitée was already profitable before raising a $48M Series A led by Accel, and has grown 10x since 2022. If you help build the next phase of Nuitée, we want you to share meaningfully in the value you create. The kind of problems you’ll work on How do we match the same hotel or room when different suppliers describe it differently? How do we make images, descriptions, amenities, and other content more accurate and useful? How do we use automation and ML to improve mapping quality while keeping systems explainable and operable? How do we reduce manual work and operational bottlenecks while keeping quality high? How do we create one clear operating model across engineering, data/ML, and mapping operations? This role fits if you have experience as an Engineering Manager or senior technical engineering leader have a strong software engineering / computer science background understand backend, data, platform, and infrastructure systems have led teams working on complex data-heavy products can mentor engineers and raise the technical bar in a relatively junior team can connect technical work to user value, quality, and commercial outcomes are structured, pragmatic, and analytical Experience with matching, entity resolution, search, ranking, recommendations, classification, content enrichment, catalog quality, data quality automation, or production ML/data systems would be especially relevant. Nuitée is fast-moving, low on process, and high on ownership. That suits you if you like pace, responsibility, technical complexity, and building structure without slowing things down. If that resonates, we’d love to hear from you. You can apply with your LinkedIn profile or CV. The process is straightforward and typically takes 2 to 3 weeks. Why Nuitee? At Nuitée, we’re not just reimagining travel—we’re building the infrastructure to power it. Massive Market Opportunity: We are tackling the $9.9tn travel industry, starting with the $75 billion B2B hotel market, a fragmented space filled with outdated systems, gatekeepers, and inefficiencies. Nuitée’s API-first platform is solving this, enabling businesses to access hotel inventory seamlessly and at scale. World-Class Backing: Backed by Accel and visionary leaders across tech and travel—including Booking.com, Stripe, and Shopify—we’re equipped to scale our ambition globally. Bootstrapped Resilience, Startup Agility: Having grown profitably for years without external funding, we combine operational discipline with the speed and innovation of a scaling startup. Global Impact: Our infrastructure supports partners like Google, Grab, worldwide fintechs, superapps, travel companies and others AI-Driven Innovation: Nuitée is uniquely positioned to power the future of travel in the AI era—enabling seamless, intelligent, and hyper-personalized travel interactions. By joining Nuitée, you’ll be part of a team that’s building a category-defining platform. You’ll work on a global scale, innovate alongside industry leaders, and help drive the next phase of travel technology. If you’re excited to push boundaries, redefine a multi-trillion-dollar industry, and grow with us—Nuitée is the place for you. By submitting your application, you consent to Nuitée processing your personal data for the purposes of assessing your suitability for employment. Your information will be stored securely and will only be retained for as long as necessary for the recruitment process, or up to 6 months afterward, in accordance with our data protection policy and applicable laws. You have the right to request access, correction, or deletion of your personal data at any time by contacting us at careers@nuitee.com. For more details, please see our Privacy Policy: Nuitée Privacy Notice 2026.", "summaryDescription" : "Engineering Manager, Mapping Platform at Nuitée. Own the mapping platform. 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EC2 Networking and Outpost hardware team", "company" : "Amazon Data Services, Inc.", "industry" : "Hardware Development, Cloud Hardware Development, Cloud Computing", "salary" : { "min" : 157000.0, "max" : 212800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Cupertino, California, USA", "locations" : [ "Cupertino, California, USA" ], "timestamp" : "2026-06-15T03:06:37.545", "fingerprint" : "4cea450d662841f1d80b9c146d385479c6060bb03f4b47df4d331665bf996042", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10386441/apply", "externalId" : "456f7887-b654-44d9-abb5-4a74863251d2", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cupertino", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3228934,-122.0322895" } ], "locationText" : "Cupertino, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "PCIe, BIOS, BMC, Signal integrity, Memory, Storage, Networking", "professionalSkills" : [ "System design", "Product design", "Root cause analysis", "Functional specifications", "Design verification", "Functional test", "Operational repair" ], "hardSkillsList" : [ "Server design", "Storage design", "Network server design", "Hardware manufacturing" ], "hardSkills" : [ { "name" : "Server design", "level" : "intermediate" }, { "name" : "Storage design", "level" : "intermediate" }, { "name" : "Network server design", "level" : "intermediate" }, { "name" : "Hardware manufacturing", "level" : "intermediate" } ], "majorSkills" : "Hardware development, Server design, Cloud infrastructure", "majorSkillsList" : [ "Hardware development", "Server design", "Cloud infrastructure" ], "coreResponsibilities" : "Solve systemic issues, Drive changes back into development, Build mechanisms to scale infrastructure, Operate infrastructure at scale, Work with subject matter experts, Develop compute technologies, Deliver customer experience, Interface with customers, Understand project requirements, Facilitate system development, Solve operational challenges, Improve customer experience, Develop improved systems, Work with vendors, Work with ODM/JDM teams, Manufacture product at scale", "teamCollaboration" : "Interdisciplinary teams; Internal customers; External customers; Vendors; ODM/JDM design teams; Hardware Design Engineers; System Design Engineers; Software Development Engineers; Technical Program Managers", "domainKnowledge" : "Cloud computing; Data center infrastructure; Server hardware; Networking hardware; Storage subsystems; Memory subsystems; Compute technologies; Edge infrastructure", "domainList" : [ "cloud-computing", "data-center-infrastructure", "server-hardware", "networking-hardware", "storage-subsystems", "memory-subsystems", "compute-technologies", "edge-infrastructure" ], "domainSpecificKnowledge" : [ "Cloud computing", "Data center infrastructure", "Server hardware", "Networking hardware", "Storage subsystems", "Memory subsystems", "Compute technologies", "Edge infrastructure" ], "documentationSkills" : "Functional specifications; Design verification plans; Functional test procedures; Operational repair plans", "innovationCreativity" : "Experimentation", "problemSolvingSkills" : "Debug; Root cause analysis; Troubleshooting", "outcomesObjectives" : "Improve current customer experience; Develop improved systems for future designs", "qualificationsBasic" : "BS degree in EE, CE, or CS, 3+ years complex server designs, 3+ years developing functional specifications, 3+ years debug root cause analysis, 1+ years advanced support managing escalations, Working with interdisciplinary teams", "qualificationsPreferred" : "MS degree in EE, CE or CS, Technical background server design, Led development of multiple servers, Experience deploying hardware at scale, Experience operating hardware at scale, Experience operating applications at scale, Developed monitoring and alerting systems, Proven results oriented person, Bias for action", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Come work on Amazon Web Services (AWS) EC2 Networking and Outpost hardware team. We are a start-up like team within a big enterprise. This allows us to take risk and experiment, allow team members to flex their technical muscles and grow in their respective careers, and an unique opportunity to be part of the product's growth story. Are you interested in building high performant hardware used to run the largest cloud computing infrastructures in the world, and managing systems at scale? If yes, come join us. Key job responsibilities You will be part of a team that solves systemic issues, drives changes back into development and builds mechanisms to scale and efficiently operate our infrastructure at the Edge and Data Center. As a member of the AWS Hardware team, you will work with other subject matter experts in compute, memory, storage technologies to develop and deliver the best customer experience in cloud computing. We aim to hire engineers who will thrive in a fast-paced, collaborative and open environment, who aren't afraid to dive-deep to solve seemingly impossible challenges, who want to build rock solid never-fail, highly-secure hardware at world-class scale and who obsess over customers. A day in the life Your day to day responsibilities will include interfacing with our internal and external customers to understand project requirements and facilitate system development on top of your server design. You will be responsible for solving operational challenges to our existing fleet with the goal of improving the current customer experience as well as developing improved systems for future designs. You will work directly with vendors and ODM/JDM design teams to develop and manufacture your product at scale. About the team The team is comprised of both Hardware Design Engineers, System Design Engineers, Software Development Engineers and Technical Program Managers, all with the common goal of delivering the best specialized server fleet possible to our customers. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Basic Qualifications: - BS degree in EE, CE, or CS - 3+ years of experience with complex server, storage or network server designs - 3+ years of experience developing functional specifications, design verification plans, functional test procedures and operational repair plans - 3+ years of experience with debug and root cause analysis of PCIe, memory, storage subsystems or networking - 1+ years of advanced support experience managing customer escalations to quickly identify root cause and resolve issues in a large scale production environment (data center or similar). - Working with interdisciplinary teams to execute product design from concept to production Preferred Qualifications: - MS degree in EE, CE or CS - Technical background in server design or architecture, specifically having led the development of multiple complete servers - Experience with server technologies: BIOS, BMC, signal integrity, memory, storage, PCIe, thermal - Experience with deploying and operating hardware and applications at scale - Developed monitoring and alerting systems to quickly identify and categorize failures in production environments - Proven results oriented person with a bias for action. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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, CA, Cupertino - 157,300.00 - 212,800.00 USD annually USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually", "summaryDescription" : "Hardware Development Engineer - EC2 Networking and Outpost hardware team at Amazon Data Services, Inc.. Skills: Hardware development, Server design, Cloud infrastructure. Solve systemic issues. 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Direct responsibility; Open communication; Collaborate with teams; Solution-oriented collaboration", "projectManagementSkills" : [ "Agile", "Iterative development" ], "domainKnowledge" : "Data Architectures; Event Sourcing; Streaming Architectures; Message-driven Systems; Microservice Environments; Cloud solutions", "domainList" : [ "data-architectures", "event-sourcing", "streaming-architectures", "message-driven-systems", "microservice-environments", "cloud-solutions" ], "domainSpecificKnowledge" : [ "Data Architectures", "Event Sourcing", "Streaming Architectures", "Message-driven Systems", "Microservice Environments", "Cloud solutions" ], "toolProficiency" : [ "Metabase", "Looker", "ClickHouse", "MongoDB", "Bull", "Redis", "LavinMQ", "Docker" ], "communicationSkills" : "Open communication; Clear naming; Proactive collaboration; Solution-oriented", "continuousLearning" : "Further education; Cross-functional learning; Individual mentoring", "innovationCreativity" : "New ideas; Shape technology direction", "problemSolvingSkills" : "Technical challenges; Root cause analysis", "outcomesObjectives" : "Quality of features; Stability of features; Product impact; Company success", "qualificationsBasic" : "Node.js Expertise, Database-know-how, Developer-Mindset, Streaming & Messaging experience", "qualificationsPreferred" : "Streaming & Messaging experience", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "DAS ERWARTET DICH BEI UNS Statt bloßem Coding steht hier die Gestaltung von Data Architekturen im Vordergrund, die echten Einfluss haben. Gearbeitet wird in einem kleinen, schlagkräftigen Team, das auf einen modernen Stack setzt und neue Technologien zügig etabliert. Hier warten echtes iteratives Bauen, direkte Verantwortung und eine offene Kommunikation abseits von starrem Konzerndenken und Stillstand. - Data to UI & UX: Als Schnittstelle zwischen komplexen Datenmengen und den Usern entwickelst du performante, intuitive Architekturen für unsere Datenbanken (ClickHouse) und Dashboards (Metabase, Looker) - Skalierbare Architekturen: Datenintensive Services werden von dir auf Basis von Event Sourcing und Streaming-Architekturen optimiert, um ein performantes Reporting über große Datenmengen (ClickHouse, MongoDB) sicherzustellen - Message-driven Systems: Für eine entkoppelte, hochverfügbare Verarbeitung kommen Message Broker und Queues wie Bull (Redis) oder LavinMQ (AMQP) zum Einsatz. - Infrastruktur & Betrieb: Der Blick reicht über den reinen Code hinaus. Im Docker-Ökosystem fühlst du dich zu Hause und trägst aktiv zum stabilen Betrieb unserer Microservice-Umgebungen bei - Technologischer Wandel: Unser Stack (u. a. Metabase, ClickHouse, Python oder dbt) wird kontinuierlich weiterentwickelt. Eigene Ideen sind ausdrücklich erwünscht, um die technologische Richtung aktiv mitzugestalten - Ownership: Von der Anforderungsanalyse bis zum Rollout liegt die Verantwortung für Qualität und Stabilität der Features bei dir – mit direktem Impact auf das gesamte Produkt DAS BRINGST DU MIT - Node.js Expertise: Fundierte Erfahrung in der Konzeption und Umsetzung von Microservice-Architekturen auf Basis von Node.js/JavaScript zeichnet dich aus. Als versierter Entwickler fühlst du dich im modernen Web-Umfeld absolut zu Hause - Database-Know-how: Die Klaviatur relationaler und non-relationaler Datenbanken (Postgres, MySQL, Snowflake, Redshift, MongoDB, ClickHouse) sowie deren Derivate wird sicher beherrscht. Dir ist klar, welche DB-Struktur für welchen Use-Case performt, und die nötige Flexibilität für Cloud-Lösungen bringst du mit - Entwickler-Mindset: Im Fokus steht hier das Machen, nicht das reine Analysieren. Es begeistert dich, Daten „fließen“ zu lassen und performante Applikationen um sie herum zu bauen - Streaming & Messaging: Praktische Erfahrung im Umgang mit Event Sourcing, ETL-Prozessen und Message-Broker-Systemen (z. B. Redis/Bull, RabbitMQ/AMQP) rundet dein technisches Profil ab, sind aber keine Voraussetzung - Struktur & Agilität: Eine gewissenhafte Arbeitsweise ist für dich selbstverständlich. Zudem wird ein Umfeld geschätzt, in dem technologische Flexibilität, schnelle Iterationen und der Einsatz moderner Tools zum Alltag gehören - Kommunikationsstärke: Technische Herausforderungen werden von dir klar benannt. Die Zusammenarbeit mit anderen Teams erfolgt proaktiv und lösungsorientiert, um stets die beste und intuitivste Lösung für den User zu finden DAS BIETEN WIR DIR - Excellence & Ownership: Übernimm die volle Verantwortung für deine Themen mit Fokus auf Qualität, Wirkung und nachhaltigen Impact - Purpose & Gestaltungsspielraum: Bring deine Ideen ein, forme deinen Verantwortungsbereich und gestalte mit uns die Zukunft sowie den langfristigen Erfolg unserer Company - Offenheit und Augenhöhe: Wir leben offene Kommunikation, den direkten Austausch und Zusammenarbeit auf Augenhöhe auf allen Ebenen - Wachstum ohne Stillstand: Ob durch Weiterbildungen, übergreifende Lernformate oder individuelles Mentoring, du bleibst fachlich und persönlich immer in Bewegung - Flexibel arbeiten, gemeinsam feiern: Wir bieten dir Benefits, die den Unterschied machen. Workation Optionen, Team- und Company-Events oder Zuschuss zu Lunch, Internet & Deutschlandticket lassen dich aufs wesentliche fokussieren - Chancengleichheit: Kein Buzzword, sondern Haltung – wir begrüßen Bewerbungen von Menschen unabhängig von Herkunft, Identität, sexueller Orientierung oder Schwerbehinderung. Bei gleicher Eignung werden Bewerbungen von Menschen mit Schwerbehinderung besonders berücksichtigt", "summaryDescription" : "(Senior) Software Developer – Data Architectures (m/w/d). Skills: Data Architectures, Node.js, Databases, Streaming. Develop database architectures. 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About us With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people. We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability. Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission! About the role In this role, you'll drive assigned routes across the city, monitor onboard equipment, and log observations using a mobile app. Main tasks and responsibilities: Driving assigned routes systematically and accurately across different city areas Monitoring the vehicle and onboard equipment, logging any anomalies in real time Using a tablet or mobile app to record route completion and field observations Performing pre- and post-shift vehicle readiness checks (charge level, cleanliness, equipment status) Reporting safety or operational concerns to the project team promptly About you: You have a valid B-category driving licence and a clean, safety-first driving record You have a background as a driving instructor, professional driver, or fleet operator - candidates with experience teaching driving or working in safety-critical driving environments are strongly preferred You have strong attention to detail and ability to follow multi-step instructions without supervision You are reliable and self-sufficient in the field You are fluent in English for daily reporting and team communication Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying! Why you’ll love it here: Start with hands-on training to gain the skills and knowledge you need to excel in your role. Receive monthly Bolt credit to test our app and use it for scooter and ride-hailing trips. Connect with your team at various events to get to know your colleagues. *Some perks may differ depending on your location and role. #LI-Hybrid", "summaryDescription" : "Mapping Vehicle Operator at Bolt Technology. Skills: Driving, Monitoring, Logging", "postedDate" : "2026-06-12T21:42:20.874", "createdAt" : "2026-06-12T21:42:20.874", "lastUpdated" : "2026-06-15T00:49:12.604", "ingestTimestamp" : "2026-06-12T21:42:20.874", "mongoId" : "6a2c5e4274d8ee00a08e28c5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Driving", "Monitoring", "Logging", "Tablet", "Mobile app" ], "skillCount" : 5, "jobCategory" : "operations", "jobSubcategory" : "fleet-operations-&-warehouse", "dataQualityScore" : 0.7777778, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "68e6b1db70f0b99d58d66ce7", "title" : "Senior Hardware Development Engineer - EC2 Networking and Outpost hardware team", "company" : "Amazon Data Services, Inc.", "industry" : "Hardware Development, Cloud Hardware Development, Cloud Computing", "salary" : { "min" : 143300.0, "max" : 257300.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Cupertino, California, USA", "locations" : [ "Cupertino, California, USA" ], "timestamp" : "2026-06-15T03:28:02.999", "fingerprint" : "9bdf283be443f86cc5eba4e1cedc928c5e4549a7db03809cda7371516b7ead3e", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3102776/apply", "externalId" : "ab99d0b0-cab1-4b66-9959-70956f175eab", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cupertino", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3228934,-122.0322895" } ], "locationText" : "Cupertino, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "BIOS, BMC, PCIe, Compute technologies, Memory technologies, Storage technologies, Networking", "professionalSkills" : [ "System design", "Product development", "Manufacturing scale" ], "hardSkillsList" : [ "Signal integrity", "Functional testing", "Root cause analysis" ], "hardSkills" : [ { "name" : "Signal integrity", "level" : "intermediate" }, { "name" : "Functional testing", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" } ], "majorSkills" : "Hardware development, Server design, Cloud infrastructure", "majorSkillsList" : [ "Hardware development", "Server design", "Cloud infrastructure" ], "coreResponsibilities" : "Solve systemic issues, Drive changes into development, Build mechanisms to scale infrastructure, Operate infrastructure at Edge, Operate infrastructure at Data Center, Develop specialized server fleet, Interface with customers, Understand project requirements, Facilitate system development, Solve operational challenges, Improve customer experience, Develop improved systems, Work with vendors, Work with ODM/JDM design teams, Manufacture product at scale", "teamCollaboration" : "Hardware Design Engineers; System Design Engineers; Software Development Engineers; Technical Program Managers", "domainKnowledge" : "Cloud computing; Server hardware; Networking hardware; Edge infrastructure; Data Center operations", "domainList" : [ "cloud-computing", "server-hardware", "networking-hardware", "edge-infrastructure", "data-center-operations" ], "domainSpecificKnowledge" : [ "Cloud computing", "Server hardware", "Networking hardware", "Edge infrastructure", "Data Center operations" ], "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "BS degree in EE, CE, or CS, 5+ years complex server designs, 5+ years developing functional specifications, 5+ years developing design verification plans, 5+ years developing functional test procedures, 5+ years developing operational repair plans, 5+ years debug root cause analysis, 3+ years advanced support", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Come work on Amazon Web Services (AWS) EC2 Networking and Outpost hardware team. We are a start-up like team within a big enterprise. This allows us to take risk and experiment, allow team members to flex their technical muscles and grow in their respective careers, and an unique opportunity to be part of the product's growth story. Are you interested in building high performant hardware used to run the largest cloud computing infrastructures in the world, and managing systems at scale? If yes, come join us. Key job responsibilities You will be part of a team that solves systemic issues, drives changes back into development and builds mechanisms to scale and efficiently operate our infrastructure at the Edge and Data Center. As a member of the AWS Hardware team, you will work with other subject matter experts in compute, memory, storage technologies to develop and deliver the best customer experience in cloud computing. We aim to hire engineers who will thrive in a fast-paced, collaborative and open environment, who aren't afraid to dive-deep to solve seemingly impossible challenges, who want to build rock solid never-fail, highly-secure hardware at world-class scale and who obsess over customers. A day in the life Your day to day responsibilities will include interfacing with our internal and external customers to understand project requirements and facilitate system development on top of your server design. You will be responsible for solving operational challenges to our existing fleet with the goal of improving the current customer experience as well as developing improved systems for future designs. You will work directly with vendors and ODM/JDM design teams to develop and manufacture your product at scale. About the team The team is comprised of both Hardware Design Engineers, System Design Engineers, Software Development Engineers and Technical Program Managers, all with the common goal of delivering the best specialized server fleet possible to our customers. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Basic Qualifications: - BS degree in EE, CE, or CS - 5+ years of experience with complex server, storage or network server designs - 5+ years of experience developing functional specifications, design verification plans, functional test procedures and operational repair plans - 5+ years of experience with debug and root cause analysis of PCIe, memory, storage subsystems or networking - 3+ years of advanced support experience managing customer escalations to quickly identify root cause and resolve issues in a large scale production environment (data center or similar). - Working with interdisciplinary teams to execute product design from concept to production Preferred Qualifications: - MS degree in EE, CE or CS - Technical background in server design or architecture, specifically having led the development of multiple complete servers - Experience with server technologies: BIOS, BMC, signal integrity, memory, storage, PCIe, thermal - Experience with deploying and operating hardware and applications at scale - Developed monitoring and alerting systems to quickly identify and categorize failures in production environments - Proven results oriented person with a bias for action. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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 $143,300/year in our lowest geographic market up to $257,300/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" : "Senior Hardware Development Engineer - EC2 Networking and Outpost hardware team at Amazon Data Services, Inc.. Skills: Hardware development, Server design, Cloud infrastructure. Solve systemic issues. Drive changes into development", "postedDate" : "2026-06-13T20:44:41.759", "createdAt" : "2026-06-13T20:44:41.759", "lastUpdated" : "2026-06-15T03:28:02.999", "ingestTimestamp" : "2026-06-13T20:44:41.759", "mongoId" : "68e6b1db70f0b99d58d66ce7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3102776/apply", "salaryAnnualMin" : 143300, "salaryAnnualMax" : 257300, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Signal integrity", "Functional testing", "Root cause analysis", "Hardware development", "Server design", "Cloud infrastructure", "System design", "Product development", "Manufacturing scale", "Cloud computing", "Server hardware", "Networking hardware", "Edge infrastructure", "Data Center operations" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cc3ad74d8ee00a0a0a175", "title" : "SDET, Hardware Compute Group", "company" : "Amazon.com Services LLC", "industry" : "Systems, Quality, Security Engineering, Software Development, alexa and amazon devices", "salary" : { "min" : 165000.0, "max" : 223600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T09:36:59.036", "fingerprint" : "5cab4d426856c8f79a843bbe49984a62213104282b1fe2de23427c6e5d992684", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10448261/apply", "externalId" : "109644b9-738c-4707-b369-6d19c0da07db", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Bash, AWS", "professionalSkills" : [ "System design", "Technical feasibility" ], "hardSkillsList" : [ "Object-oriented design", "Test automation" ], "hardSkills" : [ { "name" : "Object-oriented design", "level" : "intermediate" }, { "name" : "Test automation", "level" : "intermediate" } ], "majorSkills" : "AI models, Infrastructure automation, CI/CD pipelines", "majorSkillsList" : [ "AI models", "Infrastructure automation", "CI/CD pipelines" ], "coreResponsibilities" : "Contribute to distributed codebases, Build CI/CD pipelines, Maintain CI/CD pipelines, Develop infrastructure automation, Create test reporting dashboards, Maintain metrics dashboards, Integrate testing frameworks, Take ownership of components, Drive components to completion, Investigate technical issues, Resolve technical issues, Analyze test results, Provide actionable feedback, Develop test automation infrastructure, Maintain test automation infrastructure, Design automated test suites, Implement automated test suites, Execute automated test suites, Identify testing requirements, Identify testing gaps", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Edge AI; On-device AI; Distributed codebases", "domainList" : [ "edge-ai", "on-device-ai", "distributed-codebases" ], "domainSpecificKnowledge" : [ "Edge AI", "On-device AI", "Distributed codebases" ], "innovationCreativity" : "Innovative infrastructure automation", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "2+ years software development testing, 1+ years test automation frameworks, Programming with Java, C++, or C#, Penetration testing experience, Vulnerability assessment experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join our Edge AI team within the Hardware Compute Group at Amazon! As a Senior Systems Engineer, you will play a key role in driving the development and deployment of AI models and infrastructure for our Alexa, Echo, and other edge computing products. You will navigate complex distributed codebases, build and maintain robust CI/CD pipelines, and develop innovative infrastructure automation using Python, Bash, and AWS services. Collaborate cross-functionally to define system architectures, investigate technical feasibility tradeoffs, and drive key components from design to completion. This is an opportunity to work on impactful projects that will enable advanced on-device AI capabilities for our customers. If you're passionate about building scalable, reliable, and performant software solutions, we'd love to hear from you! Key job responsibilities * Navigate and contribute to distributed package codebases across multiple repositories * Build and maintain CI/CD pipelines leveraging AWS services * Develop infrastructure automation using Python and Bash * Create and maintain dashboards for test reporting and metrics visualization * Integrate testing frameworks with build and release systems * Take full ownership of assigned components and drive them to completion * Independently investigate and resolve complex technical issues with minimal guidance * Analyze test results and provide actionable feedback to stakeholders * Develop and maintain test automation infrastructure using pytest * Design, implement, and execute automated test suites including hardware-in-the-loop tests * Work with cross-functional teams to identify testing requirements and gaps Basic Qualifications: - 2+ years of non-internship professional software development testing experience - 1+ years of test automation frameworks and tools building experience - Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design - Experience in penetration testing and exploitability-focused vulnerability assessment - Experience in platform-level security mitigations and hardening for Linux and Windows Preferred Qualifications: - Knowledge of overall system architecture, scalability, reliability, and performance in a database environment - Experience with security in service-oriented architectures and web services Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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, CA, Sunnyvale - 165,200.00 - 223,600.00 USD annually", "summaryDescription" : "SDET, Hardware Compute Group at Amazon.com Services LLC. Skills: AI models, Infrastructure automation, CI/CD pipelines. Contribute to distributed codebases. Build CI/CD pipelines", "postedDate" : "2026-06-12T00:00:00.000", "createdAt" : "2026-06-14T05:21:17.833", "lastUpdated" : "2026-06-15T09:36:59.036", "ingestTimestamp" : "2026-06-14T05:21:17.833", "mongoId" : "6a2cc3ad74d8ee00a0a0a175", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10448261/apply", "salaryAnnualMin" : 165000, "salaryAnnualMax" : 223600, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Object-oriented design", "Test automation", "AI models", "Infrastructure automation", "CI/CD pipelines", "System design", "Technical feasibility", "Edge AI", "On-device AI", "Distributed codebases" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305649f292fd229cf26ccb", "title" : "Sr. Hardware Commodity Specialist, AI & Compute Products - Supply Chain & Procurement", "company" : "Amazon Data Services, Inc.", "industry" : "Project/Program/Product Management--Non-Tech, Internal Procurement, Cloud Computing", "salary" : { "min" : 90000.0, "max" : 200100.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-16T06:25:02.878", "fingerprint" : "ad7f8210f09b9425f72412f90144d080bb8a0bc6db609cf193b908ce2d094d99", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10448976/apply", "externalId" : "4d79feb4-5bf6-4114-b661-56f6e7fb34ab", "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", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services (AWS) provides a highly reliable, scalable, and low-cost cloud platform that powers thousands of businesses in over 190 countries. AWS’ Infrastructure Supply Chain & Procurement organization works to deliver solutions to source, build and maintain our socially responsible data center supply chains. We are a team of highly-motivated, engaged, and responsive professionals who enable the core sustainable infrastructure of AWS. Come join our team and be a part of history as we deliver results for the largest cloud services company on Earth! We are seeking a highly effective supply chain professional to manage AWS' Silicon / Custom Silicon supply chain. In this role, the candidate will manage a semiconductor supply chain with multiple products in close collaboration with both internal and external cross functional teams. These qualifications are critical to help enable AWS’s AIS team achieve continuity of supply and cost goals. Key job responsibilities The successful candidate must be a self-starter comfortable with ambiguity, high attention to detail, and a proven ability to work in a fast-paced and ever-changing environment. Candidates must have excellent analytical capabilities, program management experience, be comfortable diving deep into data, have strong writing skills, lead executive-level reviews, and communicate clearly and effectively to all levels of the company, both in writing and in meetings. The ideal candidate will not only raise the bar on delivering the right supply at the right time by deep diving into data, but is a person who actively participates with a strong curiosity to understand the business end-to-end, and has a track record of using data to influence decision makers. The ideal candidate will work closely with cross-functional teams to understand weekly demand signal changes and impacts on subcomponents level. Fully responsible to audit forecast and exchange forecast with the supplier and ensure the supplier delivers the supply against forecast. Requires a highly motivated individual to dive deep on demand data using the limited data system we have currently. A day in the life Serve as a key member of the AWS Infrastructure supply chain team in helping to define and deliver complex supply chain strategies. Design, develop and maintain scalable and reliable analytical tools, dashboards, and metrics that drive key decisions and resource prioritization. Understand the technical requirements of our partners and work closely with the internal technical teams to guide the direction of activities that will impact our supply chain. Produce written recommendations and insights for key stakeholders to help shape solution design. Handle multiple projects at once, deal with ambiguity and rapidly-changing priorities. Design, develop and maintain scalable and reliable analytical tools, dashboards, and metrics that drive key decisions and resource prioritization. Think through the mitigation plan if facing any supply issue and proactively communicate the supply impact to stakeholders. Our environment is fast-paced and requires someone who is hard-working, meticulous, who gets things done at an effective pace, gets results, and is comfortable working with tight deadlines and changing priorities. Basic Qualifications: - 5+ years of related industry experience - 5+ years of data analysis using tools such as Excel, Pivot Tables, SQL, Tableau, or equivalent experience - 5+ years of high volume manufacturing operations or sourcing environments experience - Bachelor's degree in Supply Chain, Business, Engineering, or a related field - Experience in program, project or product management, or leading product implementation Preferred Qualifications: - Master's degree in Supply Chain, Business, Engineering, or a related field - Experience in data centers, infrastructure service providers, or related technology companies - Experience in negotiations with global suppliers with a proven track record in cost reduction - Experience in procurement practices working with engineering, supply chain and Tier 1 OEM partners 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 - 147,900.00 - 200,100.00 USD annually", "summaryDescription" : "Sr. Hardware Commodity Specialist, AI & Compute Products - Supply Chain & Procurement at Amazon Data Services, Inc.", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T22:00:57.993", "lastUpdated" : "2026-06-16T06:25:02.878", "ingestTimestamp" : "2026-06-15T22:00:57.993", "mongoId" : "6a305649f292fd229cf26ccb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10448976/apply", "salaryAnnualMin" : 90000, "salaryAnnualMax" : 200100, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c63ad74d8ee00a08f967f", "title" : "AI/ML Computational Biologist - Postdoctoral Researcher", "company" : "LLNL", "industry" : "Research", "salary" : { "min" : 75000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level AI/ML Computational Biologist in Livermore, CA, adjusted for the technology industry and a large research institution." }, "location" : "Livermore, CA, United States", "locations" : [ "Livermore", "CA", "United States" ], "timestamp" : "2026-06-15T06:12:38.522", "fingerprint" : "9031cc25d6fdc6ce96b2fcfae98b97699fd4b26f0869d762324ed369e53b2e2d", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/LLNL/3743990013563686-ai-ml-computational-biologist-postdoctoral-researcher", "externalId" : "3743990013563686", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Livermore", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.6820583,-121.7680530" } ], "locationText" : "Livermore, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "Python, R, PyTorch, TensorFlow, Linux/Unix", "professionalSkills" : [ "Computational biology", "Bioinformatics", "Statistical modeling", "Machine learning", "Data fusion", "Transfer learning", "Self-supervised learning", "Foundation models", "Predictive modeling", "Omics data analysis", "High-dimensional data" ], "hardSkillsList" : [ "Machine learning methods", "Integrative analysis", "Multimodal data fusion", "Cross-dataset integration", "Transfer learning", "Self-supervised learning", "Foundation models", "Interpretable models", "Sequencing data analysis", "Omics datasets analysis" ], "hardSkills" : [ { "name" : "Machine learning methods", "level" : "intermediate" }, { "name" : "Integrative analysis", "level" : "intermediate" }, { "name" : "Multimodal data fusion", "level" : "intermediate" }, { "name" : "Cross-dataset integration", "level" : "intermediate" }, { "name" : "Transfer learning", "level" : "intermediate" }, { "name" : "Self-supervised learning", "level" : "intermediate" }, { "name" : "Foundation models", "level" : "intermediate" }, { "name" : "Interpretable models", "level" : "intermediate" }, { "name" : "Sequencing data analysis", "level" : "intermediate" }, { "name" : "Omics datasets analysis", "level" : "intermediate" } ], "majorSkills" : "Machine learning, Computational biology, Multiomic data, Deep learning", "majorSkillsList" : [ "Machine learning", "Computational biology", "Multiomic data", "Deep learning" ], "coreResponsibilities" : "Develop and apply machine learning methods, Contribute to workflow design and implementation, Investigate, develop, and apply approaches for multimodal data, Train, adapt and evaluate self-supervised and foundation models, Develop and apply interpretable models, Process and analyze large-scale sequencing and omics datasets, Present research findings at seminars, conferences, and technical, Contribute to research design and project execution, Collaborate in a multidisciplinary team environment, Publish results in peer-reviewed journals, Perform other duties as assigned", "teamCollaboration" : "Multidisciplinary team environment", "domainKnowledge" : "Computational biology; Host-response dynamics; Biological systems; Multiomic datasets; Genomics; Transcriptomics; Immunology; Host-pathogen biology; Disease modeling", "domainList" : [ "computational-biology", "host-response-dynamics", "biological-systems", "multiomic-datasets", "genomics", "transcriptomics", "immunology", "host-pathogen-biology", "disease-modeling" ], "domainSpecificKnowledge" : [ "Computational biology", "Host-response dynamics", "Biological systems", "Multiomic datasets", "Genomics", "Transcriptomics", "Immunology", "Host-pathogen biology", "Disease modeling" ], "toolProficiency" : [ "PyTorch", "TensorFlow" ], "communicationSkills" : "Written communication; Verbal communication; Present research findings", "innovationCreativity" : "Develop and apply machine learning methods; Investigate, develop, and apply approaches", "problemSolvingSkills" : "Develop predictive models; Generate biologically meaningful insights", "specialRequirements" : "Two-year term appointment, Possibility of extension to three years, Must be eligible to access Laboratory in compliance with NDAA Section 3112", "outcomesObjectives" : "Identify molecular programs associated with disease progression; Generate biologically meaningful insights; Develop predictive models that generalize across biological systems; Publish results in peer-reviewed journals", "qualificationsBasic" : "PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, Data Science, or related field, Background in machine learning, statistical modeling, computational biology, or related quantitative discipline, Experience analyzing high-dimensional biological data, Proficiency in Python and R, Experience with ML frameworks such as PyTorch, TensorFlow, or similar, Familiarity with Linux/Unix and scientific computing workflows, Demonstrated ability to conduct high-quality research and publish results, Demonstrated ability to work effectively in a collaborative research environment, Written and verbal communication skills", "qualificationsPreferred" : "Experience with deep learning or probabilistic modeling approaches, Experience with single-cell, spatial, and/or multimodal omics data, Experience with multiomic data integration, Experience with transfer learning, domain adaptation, cross-dataset integration, or batch correction, Experience with transformers, self-supervised learning, or pretrained models for biological data, Experience training and scaling machine learning models on large datasets, Interest in immunology, host-pathogen biology, or disease modeling", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join us and make YOUR mark on the World! Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability. Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact. We are seeking a Postdoctoral Research Staff Member to conduct research at the intersection of artificial intelligence (AI), machine learning (ML), and computational biology. The successful candidate will apply and adapt state-of-the-art AI/ML approaches to understand host-response dynamics in complex biological systems. Research will focus on integrating large-scale multiomic datasets, including bulk, single-cell, spatial, and multimodal data, from animal models and human cohorts to identify molecular programs associated with disease progression, immune responses, and biological resilience. The candidate will leverage modern machine learning approaches, including deep learning, self-supervised learning, and biological foundation models, to generate biologically meaningful insights from diverse datasets and develop predictive models that generalize across biological systems. This position is in the Integrative Multi-Omics Group and offers the opportunity to work under the guidance of senior scientists on high-dimensional biological data at scale in a collaborative, multidisciplinary environment. This is a two-year term appointment with the possibility of extension to a maximum of three years. In this role you will * Develop and apply machine learning methods for prediction and representation learning from high-dimensional biological data. * Contribute to the design and implementation of workflows for integrative analysis of multiomic datasets (bulk, single-cell, spatial, and multimodal). * Investigate, develop, and apply approaches for multimodal data fusion, cross-dataset integration, and transfer learning. * Train, adapt and evaluate self-supervised and foundation models for omics data. * Develop and apply interpretable models linking molecular states to disease trajectories and host-response phenotypes. * Process and analyze large-scale sequencing and other omics datasets. * Present research findings at seminars, conferences, and technical meetings. * Contribute to research design and project execution. * Collaborate in a multidisciplinary team environment. * Publish results in peer-reviewed journals. * Perform other duties as assigned. ## Qualifications * PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, Data Science, or a related field. * Strong background in machine learning, statistical modeling, computational biology, or a related quantitative discipline. * Experience analyzing high-dimensional biological data such as genomics, transcriptomics, or related modalities. * Proficiency in Python and R. * Experience with ML frameworks such as PyTorch, TensorFlow, or similar. * Familiarity with Linux/Unix and scientific computing workflows. * Demonstrated ability to conduct high-quality research and publish results in peer-reviewed journals. * Demonstrated ability to work effectively in a collaborative research environment. * Strong written and verbal communication skills. Desired Qualifications * Experience with deep learning or probabilistic modeling approaches, such as variational autoencoders, scVI, or related methods. * Experience with single-cell, spatial, and/or multimodal omics data. * Experience with multiomic data integration, including multimodal single-cell datasets. * Experience with transfer learning, domain adaptation, cross-dataset integration, or batch correction. * Experience with transformers, self-supervised learning, or pretrained models for biological data. * Experience training and scaling machine learning models on large datasets. * Interest in immunology, host-pathogen biology, or disease modeling. Pay: $123,048 Annually ## Additional Information #LI-Onsite All your information will be kept confidential according to EEO guidelines. Position Information This is a Postdoctoral appointment with the possibility of extension to a maximum of three years, open to those who have been awarded a PhD at time of hire date. Why Lawrence Livermore National Laboratory? * Included in 2026 Best Places to Work by Glassdoor! * Flexible [Benefits Package](https://www.llnl.gov/join-our-team/culture/benefits) * 401(k) * Relocation Assistance * Education Reimbursement Program Flexible schedules (depending on project needs) * Our values - visit [https://www.llnl.gov/inclusion/our-values](https://www.llnl.gov/diversity/our-values) Security Clearance None required. However, if your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process. This process includes completing an online background investigation form and receiving approval of the background check. National Defense Authorization Act (NDAA) The 2025 National Defense Authorization Act (NDAA), Section 3112, generally prohibits citizens of China, Russia, Iran and North Korea without dual US citizenship or legal permanent residence from accessing specific non-public areas of national security or nuclear weapons facilities. The restrictions of NDAA Section 3112 apply to this position. To be qualified for this position, Candidates must be eligible to access the Laboratory in compliance with Section 3112. Pre-Employment Drug Test External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor. Wireless and Medical Devices Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices. If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings. How to identify fake job advertisements Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond. To learn more about recruitment scams: Equal Employment Opportunity We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws. Reasonable Accommodation Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our [online form](https://www.llnl.gov/join-our-team/careers/accessibility) to submit a request. California Privacy Notice The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed [here](https://www.llnl.gov/join-our-team/careers/privacy-statement).", "summaryDescription" : "AI/ML Computational Biologist - Postdoctoral Researcher at LLNL. Skills: Machine learning, Computational biology, Multiomic data, Deep learning. Develop and apply machine learning methods. Contribute to workflow design and implementation", "postedDate" : "2026-06-10T17:47:01.000", "createdAt" : "2026-06-13T14:56:45.555", "lastUpdated" : "2026-06-15T06:12:38.522", "ingestTimestamp" : "2026-06-13T14:56:45.555", "mongoId" : "6a2c63ad74d8ee00a08f967f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 95000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Machine learning methods", "Integrative analysis", "Multimodal data fusion", "Cross-dataset integration", "Transfer learning", "Self-supervised learning", "Foundation models", "Interpretable models", "Sequencing data analysis", "Omics datasets analysis", "Machine learning", "Computational biology", "Multiomic data", "Deep learning", "Bioinformatics", "Statistical modeling", "Data fusion", "Predictive modeling", "Omics data analysis", "High-dimensional data", "Host-response dynamics", "Biological systems", "Multiomic datasets", "Genomics", "Transcriptomics", "Immunology", "Host-pathogen biology", "Disease modeling", "PyTorch", "TensorFlow" ], "skillCount" : 30, "jobCategory" : "research", "jobSubcategory" : "research", "dataQualityScore" : 1.0, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true }, { "id" : "68c2e42ff8b1b0376634c738", "title" : "Hardware Lead, Kuiper Hardware Development", "company" : "Amazon Kuiper", "industry" : "Hardware Development, alexa and amazon devices", "salary" : { "min" : 128600.0, "max" : 213600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Redmond, Washington, USA", "locations" : [ "Redmond, Washington, USA" ], "timestamp" : "2026-06-15T05:15:45.882", "fingerprint" : "ecb91ceae6c1a37ed3cea7d0ded0987b9e12300e5b5d2c6463b1810a67744970", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3073588/apply", "externalId" : "218d6250-0db6-44aa-bd59-b855faed5e35", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Redmond", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6694141,-122.1238767" } ], "locationText" : "Redmond, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 7, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Hardware development, PCB level, Software development, Antenna systems", "professionalSkills" : [ "Program management", "Strategic planning", "Resource allocation", "Scheduling proficiency", "Team leadership", "Process optimization" ], "hardSkillsList" : [ "New Product Introduction", "Feasibility studies", "Prototyping", "Hardware system design", "Verification test planning", "Validation test execution", "Design for Manufacturing", "Design for Assembly", "Design for Test", "Reliability engineering", "Cost optimization" ], "softSkillsList" : [ "Judgment", "Technical knowledge" ], "hardSkills" : [ { "name" : "New Product Introduction", "level" : "intermediate" }, { "name" : "Feasibility studies", "level" : "intermediate" }, { "name" : "Prototyping", "level" : "intermediate" }, { "name" : "Hardware system design", "level" : "intermediate" }, { "name" : "Verification test planning", "level" : "intermediate" }, { "name" : "Validation test execution", "level" : "intermediate" }, { "name" : "Design for Manufacturing", "level" : "intermediate" }, { "name" : "Design for Assembly", "level" : "intermediate" }, { "name" : "Design for Test", "level" : "intermediate" }, { "name" : "Reliability engineering", "level" : "intermediate" }, { "name" : "Cost optimization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Judgment" }, { "name" : "Technical knowledge" } ], "majorSkills" : "Satellite antenna development, Hardware software integration, Program management", "majorSkillsList" : [ "Satellite antenna development", "Hardware software integration", "Program management" ], "coreResponsibilities" : "Drive satellite antenna development, Manage technical requirements, Coordinate trade studies, Define antenna specifications, Oversee hardware verification, Oversee hardware validation, Coordinate manufacturing planning, Manage cross-functional dependencies, Implement team processes, Optimize team processes, Implement team tools, Optimize team tools", "teamCollaboration" : "Cross-functional teams; Subject matter experts", "projectManagementSkills" : [ "Program management", "Technical program management", "Execution capabilities", "Strategic planning", "Resource allocation", "Scheduling", "Cross-functional team leadership", "Project management methodologies" ], "domainKnowledge" : "Satellite systems; Low Earth Orbit satellites; Broadband connectivity; Antenna hardware; Antenna software", "domainList" : [ "satellite-systems", "low-earth-orbit-satellites", "broadband-connectivity", "antenna-hardware", "antenna-software" ], "domainSpecificKnowledge" : [ "Satellite systems", "Low Earth Orbit satellites", "Broadband connectivity", "Antenna hardware", "Antenna software" ], "toolProficiency" : [ "Project management tools" ], "innovationCreativity" : "Prototyping", "problemSolvingSkills" : "Break down complex projects", "specialRequirements" : "U. S. citizen, U. S. permanent resident, Lawfully admitted refugee, Granted asylum", "outcomesObjectives" : "Optimize performance; Optimize reliability; Optimize manufacturability; Ensure timely delivery", "qualificationsBasic" : "Master's degree in electrical engineering, 7+ years hardware development, 5+ years technical product management, 5+ years TPM software engineering, Manage programs cross functional teams, Build processes coordinate schedules", "qualificationsPreferred" : "Experience interdisciplinary teams execute product design, Project management technical projects, Manage projects cross functional teams, Build sustainable processes coordinate schedules, Hardware design wireless applications, Hardware design computing appliances", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Project Kuiper is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to unserved and underserved communities around the world. We are seeking a Hardware Technical Lead to drive complex satellite antenna systems projects, combining hardware and software development expertise with advanced program management skills. In this role, you will: * Drive end-to-end satellite antenna development to optimize performance, reliability, and manufacturability * Manage technical requirements for satellite antenna systems development * Coordinate with subject matter experts on trade studies to define antenna hardware and software specifications * Oversee hardware verification and validation processes * Coordinate manufacturing planning initiatives * Manage cross-functional dependencies to ensure timely delivery * Implement and optimize team processes and tools Required Technical Experience: * Strong background in hardware development at PCB level * Demonstrated expertise in New Product Introduction (NPI) processes * Proven experience in feasibility studies, prototyping, and hardware system design * Proficiency in verification and validation test planning and execution * Understanding of Design for Manufacturing (DFM), Design for Assembly (DFA), and Design for Test (DFT) principles * Some experience with reliability engineering and cost optimization Required Program Management Skills: * Execution capabilities and strategic planning * Resource allocation and scheduling proficiency * Cross-functional team leadership * Project management tools and methodologies mastery The ideal candidate will demonstrate excellent judgment, deep technical knowledge, and the ability to break down complex projects into manageable components while balancing strategic planning with hands-on execution. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Basic Qualifications: - Master's degree in electrical engineering, computer engineering, or equivalent - 7+ years of hardware development experience at PCB level - 5+ years of technical product or program management experience - 5+ years of technical program management working directly with software engineering teams experience - Experience managing programs across cross functional teams, building processes and coordinating release schedules Preferred Qualifications: - Experience working with interdisciplinary teams to execute product design from concept to production - Experience with the project management of technical projects - Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules - Experience in hardware design in wireless applications or general computing appliances. 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 $128,600/year in our lowest geographic market up to $213,600/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" : "Hardware Lead, Kuiper Hardware Development at Amazon Kuiper. Skills: Satellite antenna development, Hardware software integration, Program management. Drive satellite antenna development. Manage technical requirements", "postedDate" : "2026-06-13T19:19:19.908", "createdAt" : "2026-06-13T19:19:19.908", "lastUpdated" : "2026-06-15T05:15:45.882", "ingestTimestamp" : "2026-06-13T19:19:19.908", "mongoId" : "68c2e42ff8b1b0376634c738", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3073588/apply", "salaryAnnualMin" : 128600, "salaryAnnualMax" : 213600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "New Product Introduction", "Feasibility studies", "Prototyping", "Hardware system design", "Verification test planning", "Validation test execution", "Design for Manufacturing", "Design for Assembly", "Design for Test", "Reliability engineering", "Cost optimization", "Judgment", "Technical knowledge", "Satellite antenna development", "Hardware software integration", "Program management", "Strategic planning", "Resource allocation", "Scheduling proficiency", "Team leadership", "Process optimization", "Technical program management", "Execution capabilities", "Scheduling", "Cross-functional team leadership", "Project management methodologies", "Satellite systems", "Low Earth Orbit satellites", "Broadband connectivity", "Antenna hardware", "Antenna software", "Project management tools" ], "skillCount" : 32, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "68c2e418f8b1b0376634c365", "title" : "SDE II - Multimedia, Hardware Compute Group", "company" : "ADCI", "industry" : "Software Development, alexa and amazon devices", "salary" : { "min" : 2000000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level SDE II in the Technology industry in Bengaluru, India, adjusted for company size and seniority." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T06:56:06.724", "fingerprint" : "aa47f7e77793f5dbb000b89721e4fc9b3bd80e2ae8bfce19b6a497d6196bbb1b", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3079267/apply", "externalId" : "968d4cd2-a515-4f2d-95ac-16dc702a37a2", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Dolby Vision, HDMI 2.1b, Linux, MIPI-DSI, DRM/KMS", "professionalSkills" : [ "Display integration", "Driver development", "Signal integrity" ], "hardSkillsList" : [ "Color accuracy", "Dynamic tone mapping", "Panel bring-up", "Power consumption optimization" ], "softSkillsList" : [ "Mentorship" ], "hardSkills" : [ { "name" : "Color accuracy", "level" : "intermediate" }, { "name" : "Dynamic tone mapping", "level" : "intermediate" }, { "name" : "Panel bring-up", "level" : "intermediate" }, { "name" : "Power consumption optimization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentorship" } ], "majorSkills" : "Embedded systems, Display technology, Linux kernel", "majorSkillsList" : [ "Embedded systems", "Display technology", "Linux kernel" ], "coreResponsibilities" : "Integrate Dolby Vision technology, Optimize display pipelines, Develop display drivers, Maintain display drivers, Contribute panel integration, Debug display issues, Create custom Linux distributions, Optimize display drivers, Analyze signal integrity issues, Contribute documentation, Participate open-source development, Learn emerging display technologies", "teamCollaboration" : "Display team; SoC team; Hardware engineers; Senior engineers", "domainKnowledge" : "Embedded display systems; High-speed interfaces; Multimedia projects; Secure pipelines", "domainList" : [ "embedded-display-systems", "high-speed-interfaces", "multimedia-projects", "secure-pipelines" ], "domainSpecificKnowledge" : [ "Embedded display systems", "High-speed interfaces", "Multimedia projects", "Secure pipelines" ], "toolProficiency" : [ "Yocto", "Gerrit", "GitLab" ], "documentationSkills" : "Display documentation; Display specifications", "continuousLearning" : "Linux kernel developments", "problemSolvingSkills" : "Resolve display issues", "qualificationsBasic" : "3+ years software development, 2+ years system design, 3+ years Video Games Industry, Experience programming software language", "qualificationsPreferred" : "3+ years full software development, Bachelor's degree computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Jumpstart your career in advance display technology! Join our innovative team as an SDE-II Display Engineer and work on Dolby Vision integration and HDMI 2.1b standards. As our Display Engineer (SDE-II), you'll have the exciting opportunity to: Work directly with Dolby Vision technology, enhancing visual experiences in embedded systems Gain expertise in HDMI 2.1b compliance under the guidance of senior engineers Collaborate on optimizing display pipelines for the advanced SoC Learn from industry experts and grow your skills in Linux-based display technologies Contribute to projects that will impact millions of devices worldwide This role offers a perfect balance of challenge and support. You'll work on complex display technologies while receiving mentorship from experienced SDE-III engineers. If you're ready to prove your mettle and accelerate your career in embedded display systems, this is your launchpad to success! Key job responsibilities - Assist in the integration and optimization of Dolby Vision technology for embedded display systems, focusing on color accuracy and dynamic tone mapping. - Support the implementation of HDMI 2.1b standards, ensuring compliance and robust integration in our products. - Collaborate with the SoC team to optimize the display pipeline and enable support for new display features. - Develop and maintain display drivers and software for Linux-based embedded systems. - Contribute to panel integration efforts, including bring-up and optimization for MIPI-DSI and HDMI interfaces. - Assist in debugging and resolving display-related issues across various embedded devices and platforms. - Utilize Yocto to create and maintain custom Linux distributions for display-centric devices. - Implement and optimize display drivers within the Linux kernel, with a focus on DRM/KMS subsystems. - Use Gerrit for code reviews and GitLab for version control and CI/CD pipelines. - Analyze and help resolve signal integrity issues in high-speed display interfaces under the guidance of senior engineers. - Contribute to the development of display-related documentation and specifications. - Participate in open-source display driver development and engage with the Linux community. - Continuously learn and stay updated on emerging display technologies and Linux kernel developments. A day in the life Throughout your day, you'll interact with: - Your display team and SDE-III mentor - Hardware engineers specializing in display interfaces - The SoC development team - Panel manufacturers' technical support (under NDA) Your main focus will be on: - Display panel integration and optimization - MIPI-DSI and HDMI driver development - Resolving panel-specific issues (e.g., flickering, color accuracy) - Implementing and testing new display features (like Dolby Vision) - Ensuring compatibility between SoC display interfaces and various panels - Optimizing power consumption for different display configurations - Contributing to the company's proprietary display subsystems About the team The Display Engineering team, part of the broader Multimedia Team, develops advanced display solutions for embedded devices. We work alongside Graphics, Camera, Video Codec, and secure component experts, focusing on creating technologies that excel in visual quality, power efficiency, and performance. We value innovation, collaboration, and continuous learning. As a team member, you'll contribute to integrated multimedia projects, gain insights into secure pipelines, and have opportunities to expand your skills across various domains. Join us to shape the future of display technology and impact millions of users' visual experiences. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent 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.", "summaryDescription" : "SDE II - Multimedia, Hardware Compute Group at ADCI. Skills: Embedded systems, Display technology, Linux kernel. Integrate Dolby Vision technology. Optimize display pipelines", "postedDate" : "2026-06-14T02:02:26.930", "createdAt" : "2026-06-14T02:02:26.930", "lastUpdated" : "2026-06-15T06:56:06.724", "ingestTimestamp" : "2026-06-14T02:02:26.930", "mongoId" : "68c2e418f8b1b0376634c365", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3079267/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Color accuracy", "Dynamic tone mapping", "Panel bring-up", "Power consumption optimization", "Mentorship", "Embedded systems", "Display technology", "Linux kernel", "Display integration", "Driver development", "Signal integrity", "Embedded display systems", "High-speed interfaces", "Multimedia projects", "Secure pipelines", "Yocto", "Gerrit", "GitLab" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c683d74d8ee00a0902b2d", "title" : "Hardware Engineer", "company" : "Standard Subsea", "industry" : "Engineering", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Hardware Engineer in Los Angeles, USA, adjusted for the technology industry and company size." }, "location" : "Los Angeles", "locations" : [ "Los Angeles" ], "timestamp" : "2026-06-16T01:17:12.992", "fingerprint" : "ed26d0b0615d2df5ec7a14ee27d40291795c852c52cab2a58f679887b755a9cb", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/standardsubsea/14a09dc4-58d9-4c59-8b45-794c384f94ad/application", "externalId" : "14a09dc4-58d9-4c59-8b45-794c384f94ad", "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", "technicalSkills" : "Electrical hardware, High voltage, PCBs, COTS boards", "professionalSkills" : [ "System design", "Electrical buildout" ], "hardSkillsList" : [ "Schematic design", "PCB layout", "Component selection", "Grounding", "Shielding", "Protection", "Electrical safety", "EMC compliance", "Marine compliance", "Power budget", "Worst-case loads", "Isolation", "Lockout", "Arc-flash awareness", "Harnesses", "Connectors", "Physical install", "Commissioning", "Power distribution", "Control interfaces", "High-reliability use" ], "hardSkills" : [ { "name" : "Schematic design", "level" : "intermediate" }, { "name" : "PCB layout", "level" : "intermediate" }, { "name" : "Component selection", "level" : "intermediate" }, { "name" : "Grounding", "level" : "intermediate" }, { "name" : "Shielding", "level" : "intermediate" }, { "name" : "Protection", "level" : "intermediate" }, { "name" : "Electrical safety", "level" : "intermediate" }, { "name" : "EMC compliance", "level" : "intermediate" }, { "name" : "Marine compliance", "level" : "intermediate" }, { "name" : "Power budget", "level" : "intermediate" }, { "name" : "Worst-case loads", "level" : "intermediate" }, { "name" : "Isolation", "level" : "intermediate" }, { "name" : "Lockout", "level" : "intermediate" }, { "name" : "Arc-flash awareness", "level" : "intermediate" }, { "name" : "Harnesses", "level" : "intermediate" }, { "name" : "Connectors", "level" : "intermediate" }, { "name" : "Physical install", "level" : "intermediate" }, { "name" : "Commissioning", "level" : "intermediate" }, { "name" : "Power distribution", "level" : "intermediate" }, { "name" : "Control interfaces", "level" : "intermediate" }, { "name" : "High-reliability use", "level" : "intermediate" } ], "majorSkills" : "Electrical system design, Hardware development, System integration", "majorSkillsList" : [ "Electrical system design", "Hardware development", "System integration" ], "coreResponsibilities" : "Design electrical system end to end, Build electrical system in boat, Install electrical system in boat, Commission electrical system, Chase down problems on water, Draw diagrams, Draw schematics, Drive harness work, Drive enclosure work, Drive PCB work, Keep power budget honest, Design simple PCBs, Cut parts, Cut wiring, Cut failure points, Pick components, Set grounding, Set shielding, Set protection, Work with mechanical engineers, Work with software engineers, Keep electrical safety in view, Keep EMC in view, Keep marine compliance in view", "teamCollaboration" : "Work with mechanical; Work with software", "domainKnowledge" : "Uncrewed surface vessels; Maritime work; Power systems; Propulsion systems; Energy storage; High voltage systems; Sensor systems; Communication systems; Control systems; Harsh environments; High-reliability systems; Mission-critical systems; Hybrid power; Battery management; Reliability engineering", "domainList" : [ "uncrewed-surface-vessels", "maritime-work", "power-systems", "propulsion-systems", "energy-storage", "high-voltage-systems", "sensor-systems", "communication-systems", "control-systems", "harsh-environments", "high-reliability-systems", "mission-critical-systems", "hybrid-power", "battery-management", "reliability-engineering" ], "domainSpecificKnowledge" : [ "Uncrewed surface vessels", "Maritime work", "Power systems", "Propulsion systems", "Energy storage", "High voltage systems", "Sensor systems", "Communication systems", "Control systems", "Harsh environments", "High-reliability systems", "Mission-critical systems", "Hybrid power", "Battery management", "Reliability engineering" ], "documentationSkills" : "Draw diagrams; Draw schematics", "problemSolvingSkills" : "Chase down problems", "qualificationsBasic" : "Built real electrical hardware, Comfortable with high voltage, Hands on with harnesses, Hands on with connectors, Hands on with installs, Lay out simple boards, Know power distribution, Know protection, Know control interfaces, Pick parts for high-reliability use, Taken something from design to prototype, Prototype ships and holds up", "qualificationsPreferred" : "Uncrewed marine vehicles experience, Remotely operated marine vehicles experience, Harsh-environment platforms experience, High-reliability electrical systems experience, Mission-critical electrical systems experience, Hybrid power experience, Battery management experience, Energy storage experience, Reliability work experience, Derating experience, FMEA experience, MTBF experience, Degree in Electrical Engineering, Degree in a related field", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Us Standard Subsea builds uncrewed surface vessels for offshore work. We put inspection and survey capacity in the water without the crewed ships, the mobilization delays, or the cost that come with them. We think maritime work is going uncrewed, and we are building the fleet to do it. The Role: Our mechanical and software engineers know enough electrical to be dangerous, and they have built the system running our vessels today. You take it from here: develop it, and rework it however you see fit to hit our next product goals. This role will be foundational to ongoing electrical buildout. The work spans power, propulsion, energy storage, high voltage, sensors, comms, and control, from schematic to bench to install to sea trials. What you'll do: - Design the electrical system end to end: power, propulsion, energy storage, control, comms, and high voltage. - Build and install it in the boat. Harnesses, connectors, enclosures, the physical install, then commission it and chase down problems on the water. - Draw the diagrams and schematics that drive the harness, enclosure, and PCB work, and keep the power budget honest under worst-case loads. - Design simple PCBs to fold today's COTS boards into our own, cutting parts, wiring, and failure points. - Pick the components and set the grounding, shielding, and protection so the system is safe and serviceable. - Work with mechanical and software so the design is practical to build and maintain, and keep electrical safety, EMC, and marine compliance in view. What we're looking for: - You have built real electrical hardware yourself. We care more about what you have built than years. - Comfortable with high voltage: safe isolation, lockout, arc-flash awareness. - Hands on with harnesses, connectors, and installs. - Can lay out simple boards: power distribution, breakout, integration. Nothing exotic. - Know your way around power distribution, protection, control interfaces, and picking parts for high-reliability use. - Have taken something from a design to a prototype that ships and holds up in the field. Bonus points: - Uncrewed or remotely operated marine vehicles, or other harsh-environment platforms. - High-reliability or mission-critical electrical systems (aerospace, defense, industrial). - Hybrid power, battery management, and energy storage. - Reliability work: derating, FMEA, MTBF. - Degree in Electrical Engineering or a related field.", "summaryDescription" : "Hardware Engineer at Standard Subsea. Skills: Electrical system design, Hardware development, System integration. Design electrical system end to end. Build electrical system in boat", "createdAt" : "2026-06-14T20:10:50.942", "lastUpdated" : "2026-06-16T01:17:12.992", "ingestTimestamp" : "2026-06-14T20:10:50.942", "mongoId" : "6a2c683d74d8ee00a0902b2d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Schematic design", "PCB layout", "Component selection", "Grounding", "Shielding", "Protection", "Electrical safety", "EMC compliance", "Marine compliance", "Power budget", "Worst-case loads", "Isolation", "Lockout", "Arc-flash awareness", "Harnesses", "Connectors", "Physical install", "Commissioning", "Power distribution", "Control interfaces", "High-reliability use", "Electrical system design", "Hardware development", "System integration", "System design", "Electrical buildout", "Uncrewed surface vessels", "Maritime work", "Power systems", "Propulsion systems", "Energy storage", "High voltage systems", "Sensor systems", "Communication systems", "Control systems", "Harsh environments", "High-reliability systems", "Mission-critical systems", "Hybrid power", "Battery management", "Reliability engineering" ], "skillCount" : 41, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305819f292fd229cf4043f", "title" : "Systems Analyst (Robotic Control Algorithms)", "company" : "Intuitive", "industry" : "Medical Device", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Systems Analyst in Healthcare in Sunnyvale, CA, adjusted for company size and industry." }, "location" : "Sunnyvale, CA, United States", "locations" : [ "Sunnyvale", "CA", "United States" ], "timestamp" : "2026-06-16T09:07:25.742", "fingerprint" : "65d75b2435e0336a91715b02cdb9a1147e80f910a6aa85a0603a8f29c90ea6a0", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Intuitive/744000131998269-systems-analyst-robotic-control-algorithms-", "externalId" : "744000131998269", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "remoteFriendly" : false, "rawDescription" : "It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive. As a global leader in robotic-assisted surgery and minimally invasive care, our technologies like the da Vinci surgical system and Ion have transformed how care is delivered for millions of patients worldwide. Were a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful because every improvement we make has the potential to change a life. The Future Forward organization is Intuitive’s advanced concepts group. We explore emerging technologies, prototype next-generation solutions, and build software experiences that shape the future of robotic-assisted surgery. If you're ready to contribute to something bigger than yourself and help transform the future of healthcare, you'll find your purpose here. Primary Function of Position: A Systems Analyst is responsible for the detailed design and implementation of robotic control algorithms and safety systems for new surgical robots and instruments. This includes integrating and evaluating fully functional prototypes and conducting formal product testing. Systems Analysts also provide analytical support to other engineering groups in designing mechanisms, software architecture, and selecting key components, utilizing both physical and algorithmic insights to ensure safe, reliable, and precise motion control performance and high-level behaviors in response to user inputs. Quick learning and a keen understanding of both user and engineering perspectives are essential, As part of the Future Forward engineering team, you will design, implement, and integrate complex functionalities into complete surgical robot solutions, overseeing them through human use and product release. You will be part of a high-energy, focused team, with a strong sense of shared responsibility and reward. Essential Job Duties * Contribute to the design of new robot manipulators and new robotic instruments through analysis and characterization of prototypes. * Refine and evolve system performance as it matures to a full product stage. * Facilitate mechanical, hardware, and software integration of new prototypes and new products including complete systems, manipulators, and vision. * Provide critical analysis of robot servo control and design fault-detection algorithms. * Provide analytical assistance for other engineering issues. * Document and communicate intellectual property. * Improve group workflow through tool building and robust cross-functional interactions. ## Qualifications Required Education and Training * Master’s degree in Computer Science, Electrical Engineering or Mechanical Engineering, or similar technical field, with 3 years of experience in control systems, servo control, or robotics. * Alternatively, a Ph.D. degree in one of the technical fields above, with no experience. Required Skills and Experience * Experience implementing, tuning, and debugging modern servo control systems. * Expert knowledge of robot modeling and system identification techniques. * Experience in designing and developing real-time control algorithms in C or C++, with the ability to assess numerical accuracy and computational complexity. * Working knowledge of Python or MATLAB/Simulink for control system simulation, analysis, and testing. * Excellent verbal and written communications skills, with the ability to communicate effectively across all levels of an organization. * Excitement to learn, solve tough technical problems, and to help improve patients' lives. Preferred Skills and Experience * Expert in one or more advanced robotic control concepts such as impedance control or the control of flexible manipulators. * Experience designing software products in a regulated industry or for safety-critical applications; comfort with concepts of design input, design output, traceability, risk analysis, and mitigations. * Fluent working with software version control systems such as Git. * Working knowledge of embedded Linux or QNX at multiple levels including application, board bring-up, device drivers and distribution configuration. * Experience in all phases of the product development lifecycle including design, implementation, debug, verification, validation, and transfer to manufacturing. Working Conditions * none ## Additional Information Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role. Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws. [Mandatory Notices](https://careers.intuitive.com/en/eeo-and-aap/) U.S. Export Controls Disclaimer: In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees who are nationals from countries currently on embargo or sanctions status. Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government’s licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan (“TCP”) (note: typically adds 2 weeks to the hiring process). For any Intuitive role subject to export controls, final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the prospective employee’s start date, which may or may not be flexible, and within a timeframe that does not unreasonably impede the hiring need. If applicable, candidates will be notified and instructed on any requirements for these purposes. We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws. Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee. This position may be filled at a different job level than listed here depending on business need and/or on the selected candidate’s experience, knowledge and skills. Compensation will be based primarily on the job level at which the role is filled and the candidate’s qualifications, consistent with applicable law. We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.", "summaryDescription" : "Systems Analyst (Robotic Control Algorithms) at Intuitive", "postedDate" : "2026-06-13T00:00:39.000", "createdAt" : "2026-06-15T23:45:30.411", "lastUpdated" : "2026-06-16T09:07:25.742", "ingestTimestamp" : "2026-06-15T23:45:30.411", "mongoId" : "6a305819f292fd229cf4043f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305003f292fd229ceebc62", "title" : "Systems Analyst (Robotic Control Algorithms)", "company" : "Intuitive", "industry" : "Medical Device", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Systems Analyst in Healthcare in Sunnyvale, CA, adjusted for company size and industry." }, "location" : "Sunnyvale, CA, United States", "locations" : [ "Sunnyvale", "CA", "United States" ], "timestamp" : "2026-06-16T06:03:16.585", "fingerprint" : "bba77086d46e0d4f4502a85363381d926247a4fe6791058ba8bde701ece7bb2b", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Intuitive/744000131998269-systems-analyst-robotic-control-algorithms-", "externalId" : "744000131998269", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "remoteFriendly" : false, "rawDescription" : "It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive. As a global leader in robotic-assisted surgery and minimally invasive care, our technologies like the da Vinci surgical system and Ion have transformed how care is delivered for millions of patients worldwide. Were a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful because every improvement we make has the potential to change a life. The Future Forward organization is Intuitive’s advanced concepts group. We explore emerging technologies, prototype next-generation solutions, and build software experiences that shape the future of robotic-assisted surgery. If you're ready to contribute to something bigger than yourself and help transform the future of healthcare, you'll find your purpose here. Primary Function of Position: A Systems Analyst is responsible for the detailed design and implementation of robotic control algorithms and safety systems for new surgical robots and instruments. This includes integrating and evaluating fully functional prototypes and conducting formal product testing. Systems Analysts also provide analytical support to other engineering groups in designing mechanisms, software architecture, and selecting key components, utilizing both physical and algorithmic insights to ensure safe, reliable, and precise motion control performance and high-level behaviors in response to user inputs. Quick learning and a keen understanding of both user and engineering perspectives are essential, As part of the Future Forward engineering team, you will design, implement, and integrate complex functionalities into complete surgical robot solutions, overseeing them through human use and product release. You will be part of a high-energy, focused team, with a strong sense of shared responsibility and reward. Essential Job Duties * Contribute to the design of new robot manipulators and new robotic instruments through analysis and characterization of prototypes. * Refine and evolve system performance as it matures to a full product stage. * Facilitate mechanical, hardware, and software integration of new prototypes and new products including complete systems, manipulators, and vision. * Provide critical analysis of robot servo control and design fault-detection algorithms. * Provide analytical assistance for other engineering issues. * Document and communicate intellectual property. * Improve group workflow through tool building and robust cross-functional interactions. ## Qualifications Required Education and Training * Master’s degree in Computer Science, Electrical Engineering or Mechanical Engineering, or similar technical field, with 3 years of experience in control systems, servo control, or robotics. * Alternatively, a Ph.D. degree in one of the technical fields above, with no experience. Required Skills and Experience * Experience implementing, tuning, and debugging modern servo control systems. * Expert knowledge of robot modeling and system identification techniques. * Experience in designing and developing real-time control algorithms in C or C++, with the ability to assess numerical accuracy and computational complexity. * Working knowledge of Python or MATLAB/Simulink for control system simulation, analysis, and testing. * Excellent verbal and written communications skills, with the ability to communicate effectively across all levels of an organization. * Excitement to learn, solve tough technical problems, and to help improve patients' lives. Preferred Skills and Experience * Expert in one or more advanced robotic control concepts such as impedance control or the control of flexible manipulators. * Experience designing software products in a regulated industry or for safety-critical applications; comfort with concepts of design input, design output, traceability, risk analysis, and mitigations. * Fluent working with software version control systems such as Git. * Working knowledge of embedded Linux or QNX at multiple levels including application, board bring-up, device drivers and distribution configuration. * Experience in all phases of the product development lifecycle including design, implementation, debug, verification, validation, and transfer to manufacturing. Working Conditions * none ## Additional Information Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role. Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws. [Mandatory Notices](https://careers.intuitive.com/en/eeo-and-aap/) U.S. Export Controls Disclaimer: In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees who are nationals from countries currently on embargo or sanctions status. Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government’s licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan (“TCP”) (note: typically adds 2 weeks to the hiring process). For any Intuitive role subject to export controls, final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the prospective employee’s start date, which may or may not be flexible, and within a timeframe that does not unreasonably impede the hiring need. If applicable, candidates will be notified and instructed on any requirements for these purposes. We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws. Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee. This position may be filled at a different job level than listed here depending on business need and/or on the selected candidate’s experience, knowledge and skills. Compensation will be based primarily on the job level at which the role is filled and the candidate’s qualifications, consistent with applicable law. We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.", "summaryDescription" : "Systems Analyst (Robotic Control Algorithms) at Intuitive", "postedDate" : "2026-06-13T00:00:39.000", "createdAt" : "2026-06-15T21:44:14.613", "lastUpdated" : "2026-06-16T06:03:16.585", "ingestTimestamp" : "2026-06-15T21:44:14.613", "mongoId" : "6a305003f292fd229ceebc62", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca59074d8ee00a09b719f", "title" : "Member of Technical Staff - RL Algorithms", "company" : "Vmax", "industry" : "Technology", "salary" : { "min" : 300000.0, "max" : 500000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States" ], "timestamp" : "2026-06-15T04:58:11.156", "fingerprint" : "9a998c2509ec79654c66ec2940a6c3ec0caaa82a4011d6d57959c7ebacdbf9b7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/vmax/jobs/4252700009", "externalId" : "4252700009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "technicalSkills" : "Machine learning, Reinforcement learning, Representation learning, Large language models, Python, PyTorch, JAX", "professionalSkills" : [ "Research agenda development", "Experimental design", "Failure analysis", "Algorithmic ideas" ], "hardSkillsList" : [ "Policy gradient algorithms", "Model-based RL", "Temporal abstraction", "Value-based learning", "Sample efficiency", "Robustness", "Generalization", "Reward exploitation", "Reward hacking", "Mode collapse", "Over-optimization", "Exploration failures", "Distribution shift" ], "hardSkills" : [ { "name" : "Policy gradient algorithms", "level" : "intermediate" }, { "name" : "Model-based RL", "level" : "intermediate" }, { "name" : "Temporal abstraction", "level" : "intermediate" }, { "name" : "Value-based learning", "level" : "intermediate" }, { "name" : "Sample efficiency", "level" : "intermediate" }, { "name" : "Robustness", "level" : "intermediate" }, { "name" : "Generalization", "level" : "intermediate" }, { "name" : "Reward exploitation", "level" : "intermediate" }, { "name" : "Reward hacking", "level" : "intermediate" }, { "name" : "Mode collapse", "level" : "intermediate" }, { "name" : "Over-optimization", "level" : "intermediate" }, { "name" : "Exploration failures", "level" : "intermediate" }, { "name" : "Distribution shift", "level" : "intermediate" } ], "majorSkills" : "RL Algorithms, Large Language Models, Machine Learning, Research", "majorSkillsList" : [ "RL Algorithms", "Large Language Models", "Machine Learning", "Research" ], "coreResponsibilities" : "Develop new RL algorithms, Adapt RL ideas to LLM settings, Establish empirical baselines, Develop evaluation protocols, Analyze failure modes, Collaborate with researchers, Turn algorithmic ideas into systems, Own and develop research agenda, Identify promising directions, Execute experiments, Communicate results", "teamCollaboration" : "Collaborate with researchers; Work with environments; Work with evals; Work with interpretability; Work with reward modeling; Work with infrastructure", "domainKnowledge" : "Open-ended learning; LLM post-training; Agentic settings; Reward modeling; Automated evaluation", "domainList" : [ "open-ended-learning", "llm-post-training", "agentic-settings", "reward-modeling", "automated-evaluation" ], "domainSpecificKnowledge" : [ "Open-ended learning", "LLM post-training", "Agentic settings", "Reward modeling", "Automated evaluation" ], "communicationSkills" : "Communicate results", "innovationCreativity" : "Open-ended research problems; Ambiguous ideas", "problemSolvingSkills" : "Analyze failure modes; Debugging unstable training runs", "qualificationsBasic" : "PhD or equivalent experience, Track record of research excellence, Deep understanding of modern machine learning, Familiarity with LLM post-training methods, Experience designing and running rigorous ML experiments, Experience with large-scale ML infrastructure, Expertise with Python, Expertise with PyTorch or JAX, Ability to work independently", "qualificationsPreferred" : "Experience developing new RL algorithms, Experience with LLM pre-training, Understanding of reward modeling, Understanding of automated evaluation systems, Demonstrated software engineering ability", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Vmax Vmax is an applied research lab developing AI capable of open-ended learning. We are building systems to exceed humans in all capacities by optimising beyond the local maxima of learning from human expertise. About the role RL has become the de-facto method of post-training LLMs. We are limited by the sample efficiency of the current policy gradient algorithms in use today, and are looking for a talented researcher to weave together pre-LLM and post-LLM approaches to learning from experience. Responsibilities Develop new RL algorithms for post-training language models. Adapt ideas from pre-LLM reinforcement learning, such as model-based RL, temporal abstraction, and value-based learning, to modern LLM and agentic settings. Establish empirical baselines and evaluation protocols for measuring sample efficiency, robustness, generalization, and reward exploitation in LLM RL. Analyze failure modes of RL-trained models, including reward hacking, mode collapse, over-optimization, exploration failures, and distribution shift. Collaborate with researchers working on environments, evals, interpretability, reward modeling, and infrastructure to turn algorithmic ideas into reliable training systems. Own and develop a research agenda within Vmax, from identifying promising directions to executing experiments and communicating results. Minimum Requirements PhD or equivalent experience in machine learning, reinforcement learning, or a closely related field. Track record of research excellence, as demonstrated by publications, open source work, deployed AI systems, or other substantial technical contributions. Deep understanding of modern machine learning, especially reinforcement learning, representation learning, and large language models. Strong familiarity with LLM post-training methods. Experience designing and running rigorous ML experiments, including ablations, baselines, evaluation design, and failure analysis. Experience with large-scale ML infrastructure, distributed training, experiment tracking, data pipelines, and debugging unstable training runs. Expertise with Python and at least one major ML framework such as PyTorch or JAX. Ability to work independently on open-ended research problems and turn ambiguous ideas into concrete experimental programs. Nice to have Experience developing new RL algorithms or improving existing ones in domains such as robotics, games, simulated control, language models, or agents. Experience with LLM pre-training. Strong understanding of reward modeling, verifiers, process supervision, outcome supervision, or automated evaluation systems. Demonstrated software engineering ability Strong communication skills, especially the ability to explain algorithmic ideas, empirical results, and research implications to both technical and non-technical audiences Role specific location policy This role is based in our San Francisco office; for exceptional candidates we are willing to consider a hybrid arrangement Compensation The expected salary range for this position is $300,000 - $500,000 USD", "summaryDescription" : "Member of Technical Staff - RL Algorithms at Vmax. Skills: RL Algorithms, Large Language Models, Machine Learning, Research. Develop new RL algorithms. Adapt RL ideas to LLM settings", "postedDate" : "2026-06-14T04:41:46.407", "createdAt" : "2026-06-14T04:41:46.407", "lastUpdated" : "2026-06-15T04:58:11.156", "ingestTimestamp" : "2026-06-14T04:41:46.407", "mongoId" : "6a2ca59074d8ee00a09b719f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 300000, "salaryAnnualMax" : 500000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Policy gradient algorithms", "Model-based RL", "Temporal abstraction", "Value-based learning", "Sample efficiency", "Robustness", "Generalization", "Reward exploitation", "Reward hacking", "Mode collapse", "Over-optimization", "Exploration failures", "Distribution shift", "RL Algorithms", "Large Language Models", "Machine Learning", "Research", "Research agenda development", "Experimental design", "Failure analysis", "Algorithmic ideas", "Open-ended learning", "LLM post-training", "Agentic settings", "Reward modeling", "Automated evaluation" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "693c2b8670f0b99d5843fb12", "title" : "Software Dev Engineer, Hardware-Technology & Architecture", "company" : "ADCI", "industry" : "Software Development, alexa and amazon devices", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Software Dev Engineer in Pune, India, adjusted for the Technology industry and a large company size." }, "location" : "Pune, Maharashtra, IND", "locations" : [ "Pune, Maharashtra, IND" ], "timestamp" : "2026-06-15T02:42:20.268", "fingerprint" : "af7f12a9bd1e60f8b232e5be199710f298ff78ed1e4c0de06b0569873325e0f0", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3139879/apply", "externalId" : "f5c0ca5a-85d2-4ca8-99ba-db4b36a71f14", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pune", "state" : "Maharashtra", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "18.5213738,73.8545071" } ], "locationText" : "Pune, Maharashtra, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "professionalSkills" : [ "System design" ], "coreResponsibilities" : "Design innovative applications, Develop innovative applications, Operate innovative applications, Design scalable applications, Develop scalable applications, Operate scalable applications, Design critical applications, Develop critical applications, Operate critical applications, Solve complex technical challenges, Collaborate with cross-functional teams, Deliver robust solutions", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Reliability; Scaling", "domainList" : [ "reliability", "scaling" ], "domainSpecificKnowledge" : [ "Reliability", "Scaling" ], "innovationCreativity" : "Innovative applications", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Enhance customer experience", "qualificationsBasic" : "3+ years non-internship professional software development experience, 2+ years non-internship design or architecture experience, Experience programming at least one software programming language", "qualificationsPreferred" : "3+ years full software development life cycle experience, Bachelor's degree in computer science or equivalent", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are looking for passionate and talented software engineers to help us build the future of Amazon Devices. Join the Technology and Architecture team within the Amazon Devices Hardware organization, the group that builds the core technology for wide range of products including the Fire TV, Echo Show, Echo Dot, and more. Key job responsibilities *Design, develop, and operate innovative, scalable, and critical applications. *Solve complex technical challenges that operate at a high volume across millions of devices. *Collaborate with cross-functional teams to deliver robust solutions that directly enhance the customer experience. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent 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.", "summaryDescription" : "Software Dev Engineer, Hardware-Technology & Architecture at ADCI. Design innovative applications. Develop innovative applications", "postedDate" : "2026-06-13T05:30:53.523", "createdAt" : "2026-06-13T05:30:53.523", "lastUpdated" : "2026-06-15T02:42:20.268", "ingestTimestamp" : "2026-06-13T05:30:53.523", "mongoId" : "693c2b8670f0b99d5843fb12", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3139879/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "System design", "Reliability", "Scaling" ], "skillCount" : 3, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a305819f292fd229cf40460", "title" : "Senior Robotic Algorithms and Controls Engineer (Systems Analyst)", "company" : "Intuitive", "industry" : "Medical Device", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Robotic Algorithms and Controls Engineer in Sunnyvale, United States, adjusted for industry and company size." }, "location" : "Sunnyvale, CA, United States", "locations" : [ "Sunnyvale", "CA", "United States" ], "timestamp" : "2026-06-16T08:19:10.527", "fingerprint" : "376b8fb3926917ba7f0d1cf0f45aeb20d32bc22f1f7ce601c9dd861d8a0a337f", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Intuitive/744000131709739-senior-robotic-algorithms-and-controls-engineer-systems-analyst-", "externalId" : "744000131709739", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "Python, C++, ROS, MATLAB, Simulink, Control systems, Robotics, Machine learning, Computer vision, Linux, Git, Agile, Software development", "professionalSkills" : [ "Systems analysis", "Algorithm development", "Software design", "Data analysis", "Problem solving" ], "hardSkillsList" : [ "Algorithm implementation", "Control theory", "System modeling", "Data structures", "Software testing" ], "hardSkills" : [ { "name" : "Algorithm implementation", "level" : "intermediate" }, { "name" : "Control theory", "level" : "intermediate" }, { "name" : "System modeling", "level" : "intermediate" }, { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Software testing", "level" : "intermediate" } ], "majorSkills" : "Robotic algorithms, Control systems engineering, Systems analysis", "majorSkillsList" : [ "Robotic algorithms", "Control systems engineering", "Systems analysis" ], "coreResponsibilities" : "Develop and implement robotic algorithms, Design and analyze control systems, Perform system analysis, Develop software for robotic systems, Collaborate with cross-functional teams, Document designs and results, Test and validate algorithms, Troubleshoot system issues", "teamCollaboration" : "Cross-functional teams", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Robotics; Control systems; Machine learning; Computer vision", "domainList" : [ "robotics", "control-systems", "machine-learning", "computer-vision" ], "domainSpecificKnowledge" : [ "Robotics", "Control systems", "Machine learning", "Computer vision" ], "toolProficiency" : [ "ROS", "MATLAB", "Simulink", "Git" ], "communicationSkills" : "Technical documentation", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Problem solving; Troubleshooting", "qualificationsBasic" : "6+ years of experience, Master's degree", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive. As a global leader in robotic-assisted surgery and minimally invasive care , our technologies—like the da Vinci surgical system and Ion —have transformed how care is delivered for millions of patients worldwide. We’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful—because every improvement we make has the potential to change a life. If you’re ready to contribute to something bigger than yourself and help transform the future of healthcare , you’ll find your purpose here. Primary Function of Position Systems Analysts (Robotic Control Engineers) at Intuitive Surgical perform a central role in the design, development, and support of products in the DaVinci Surgery product line. Systems Analysts are primarily responsible for the tele-robotic motion control algorithms, robotic manipulator control and safety algorithms for surgical robots and surgical instruments. This responsibility crosses into electrical, mechanical, software, control, user interface, and safety engineering where all the subsystems are integrated together. Systems Analysts strive to provide design input, prove out design improvements, and seek out solutions to subtle and challenging problems in system integration and motion control. Responsibilities include ensuring products are shipping to customers with the highest quality and reliability. Essential Job Duties * Design, develop, implement, and test key product control and safety software algorithms including calibration and diagnostics * Address issues at production and in the field, perform analysis, evaluate risk, establish root causes, propose design improvements, and provide solutions * Analyze complex medical electro-mechanical devices and servo control systems for safety and clinical risk, anticipate potential failure modes, and provide risk mitigation strategies ## Qualifications Required Skills and Experience: • Minimum Masters in EE or ME with +6 years of experience in control aspects of mechatronic systems or PhD +3 years of experience in control of mechatronic systems. • Theoretical training in and experience implementing classical and modern servo control systems. • Possess embedded C programming capabilities as well as hardware, software, and mechanism integration skills. • Be guided by engineering intuition for mechatronic systems and at the same time be detail oriented and able to develop and push a single solution to completion. • Excel in a high-energy team and demonstrate excellent communication skills both written and verbal. • Work autonomously while simultaneously balancing collaboration on project planning and communication. • Show passion for product quality and continuous improvements. ## Additional Information Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role. Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws. [Mandatory Notices](https://careers.intuitive.com/en/eeo-and-aap/) U.S. Export Controls Disclaimer: In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees who are nationals from countries currently on embargo or sanctions status. Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government’s licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan (“TCP”) (note: typically adds 2 weeks to the hiring process). For any Intuitive role subject to export controls, final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the prospective employee’s start date, which may or may not be flexible, and within a timeframe that does not unreasonably impede the hiring need. If applicable, candidates will be notified and instructed on any requirements for these purposes. We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws. Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee. This position may be filled at a different job level than listed here depending on business need and/or on the selected candidate’s experience, knowledge and skills. Compensation will be based primarily on the job level at which the role is filled and the candidate’s qualifications, consistent with applicable law. We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.", "summaryDescription" : "Senior Robotic Algorithms and Controls Engineer (Systems Analyst) at Intuitive. Skills: Robotic algorithms, Control systems engineering, Systems analysis. Develop and implement robotic algorithms. 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Nearly 30 years later, that question still fuels everything we do at Intuitive. As a global leader in robotic-assisted surgery and minimally invasive care , our technologies—like the da Vinci surgical system and Ion —have transformed how care is delivered for millions of patients worldwide. We’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful—because every improvement we make has the potential to change a life. If you’re ready to contribute to something bigger than yourself and help transform the future of healthcare , you’ll find your purpose here. Primary Function of Position Systems Analysts (Robotic Control Engineers) at Intuitive Surgical perform a central role in the design, development, and support of products in the DaVinci Surgery product line. Systems Analysts are primarily responsible for the tele-robotic motion control algorithms, robotic manipulator control and safety algorithms for surgical robots and surgical instruments. This responsibility crosses into electrical, mechanical, software, control, user interface, and safety engineering where all the subsystems are integrated together. Systems Analysts strive to provide design input, prove out design improvements, and seek out solutions to subtle and challenging problems in system integration and motion control. Responsibilities include ensuring products are shipping to customers with the highest quality and reliability. Essential Job Duties * Design, develop, implement, and test key product control and safety software algorithms including calibration and diagnostics * Address issues at production and in the field, perform analysis, evaluate risk, establish root causes, propose design improvements, and provide solutions * Analyze complex medical electro-mechanical devices and servo control systems for safety and clinical risk, anticipate potential failure modes, and provide risk mitigation strategies ## Qualifications Required Skills and Experience: • Minimum Masters in EE or ME with +6 years of experience in control aspects of mechatronic systems or PhD +3 years of experience in control of mechatronic systems. • Theoretical training in and experience implementing classical and modern servo control systems. • Possess embedded C programming capabilities as well as hardware, software, and mechanism integration skills. • Be guided by engineering intuition for mechatronic systems and at the same time be detail oriented and able to develop and push a single solution to completion. • Excel in a high-energy team and demonstrate excellent communication skills both written and verbal. • Work autonomously while simultaneously balancing collaboration on project planning and communication. • Show passion for product quality and continuous improvements. ## Additional Information Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role. Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws. [Mandatory Notices](https://careers.intuitive.com/en/eeo-and-aap/) U.S. Export Controls Disclaimer: In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees who are nationals from countries currently on embargo or sanctions status. Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government’s licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan (“TCP”) (note: typically adds 2 weeks to the hiring process). For any Intuitive role subject to export controls, final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the prospective employee’s start date, which may or may not be flexible, and within a timeframe that does not unreasonably impede the hiring need. If applicable, candidates will be notified and instructed on any requirements for these purposes. We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws. Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee. This position may be filled at a different job level than listed here depending on business need and/or on the selected candidate’s experience, knowledge and skills. Compensation will be based primarily on the job level at which the role is filled and the candidate’s qualifications, consistent with applicable law. We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.", "summaryDescription" : "Senior Robotic Algorithms and Controls Engineer (Systems Analyst) at Intuitive. Skills: Robotic algorithms, Controls engineering, Systems analysis. Develop and implement robotic algorithms. Design and analyze control systems", "postedDate" : "2026-06-11T15:33:31.000", "createdAt" : "2026-06-15T21:34:57.313", "lastUpdated" : "2026-06-16T06:02:40.352", "ingestTimestamp" : "2026-06-15T21:34:57.313", "mongoId" : "6a305003f292fd229ceebc7f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Algorithm design", "Control theory", "Robotics software", "System integration", "Data modeling", "Robotic algorithms", "Controls engineering", "Systems analysis", "System analysis", "Algorithm development", "Software development", "Data analysis", "Problem solving", "Agile methodologies", "Robotics", "Control systems", "Medical devices", "Surgical robotics", "ROS", "MATLAB", "Simulink", "Git", "Docker", "AWS" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c68ed74d8ee00a0905499", "title" : "Hardware Technician", "company" : "Matic", "industry" : "Hardware", "salary" : { "min" : 65000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Mountain View, CA", "locations" : [ "Mountain View, CA" ], "timestamp" : "2026-06-15T09:33:10.854", "fingerprint" : "5cfc95f900abbc0fe3a944bf3c7344606a964cc58d97c67f0f5b48838864a9b8", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/maticrobots/7cc3217c-b770-4fa9-888f-dd748cfe4863/application", "externalId" : "7cc3217c-b770-4fa9-888f-dd748cfe4863", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "CAD, 3D printing", "professionalSkills" : [ "Hardware design", "Mechanical engineering", "Electrical engineering", "Rapid prototyping", "Root cause analysis", "Workflow optimization" ], "hardSkillsList" : [ "Hardware diagnostics", "Component testing" ], "hardSkills" : [ { "name" : "Hardware diagnostics", "level" : "intermediate" }, { "name" : "Component testing", "level" : "intermediate" } ], "majorSkills" : "Hardware technician, Robotics, Prototyping", "majorSkillsList" : [ "Hardware technician", "Robotics", "Prototyping" ], "coreResponsibilities" : "Organize and prioritize tasks, Operate and maintain equipment, Create and assemble fixtures, Run validation testing, Perform root cause analysis, Solve real problems, Take ownership over work, Design projects, Optimize workflow, Understand hardware design, Learn about components, Communicate test results, Document test results", "teamCollaboration" : "ME, EE, Production teams", "domainKnowledge" : "Home robotics; Spatial AI; RGB cameras; Neural networks; On-device processing; Mechanical design; Electrical design", "domainList" : [ "home-robotics", "spatial-ai", "rgb-cameras", "neural-networks", "on-device-processing", "mechanical-design", "electrical-design" ], "domainSpecificKnowledge" : [ "Home robotics", "Spatial AI", "RGB cameras", "Neural networks", "On-device processing", "Mechanical design", "Electrical design" ], "toolProficiency" : [ "Solidworks", "Bambu", "Formlabs", "Prusa" ], "communicationSkills" : "Clear and concise documentation", "documentationSkills" : "Document test results", "continuousLearning" : "Develop engineering skills", "innovationCreativity" : "Prototype development", "problemSolvingSkills" : "Root cause analysis; Diagnosing hardware issues", "qualificationsBasic" : "Commitment to learn, Making experience, Proficiency in CAD, Diagnosing hardware issues, Work efficiently under pressure, Meet deadlines, Prioritization skills, Take initiative, Recognize areas of improvement, Excellent communication skills, Comfort with ambiguity, High-ownership mindset", "qualificationsPreferred" : "Solidworks preferred, Bambu, Formlabs, Prusa preferred, Genuinely motivated to help, Passionate about learning, Love diagnosing complex issues, Excited to do great work", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "COMPANY OVERVIEW Each year, 2.5 trillion hours are spent on household chores. At Matic, we’re on a mission to recapture that lost time, and we’re doing it by revolutionizing home robotics. Our first product, also called Matic, is a Wall-E-esque floor cleaning robot. We've built what amounts to \"full self-driving in the home” with real-time 3D mapping, adaptive path-tracking, and a precise semantic understanding of the home. Our breakthroughs in spatial AI allow Matic to work reliably in real homes, using only RGB cameras and neural networks running on-device. PRIVACY FIRST What happens in the home, stays in the home. Our robots are private by design, with all data processing performed by the robot itself, not in the cloud. OUR APPROACH Before the iPhone, consumers adopted several distinct devices; cell phones, PDAs, and portable music players each served a particular need. We believe in a similar progression for home robotics, starting with single-purpose robots and building iteratively toward more complex capabilities over time. OUR CULTURE Matic is a tight-knit and collaborative team, singularly focused on building products our customers will cherish. We're ultra-hardworking people committed to solving tough problems that save precious time and energy. ABOUT THE ROLE We’re looking for a driven, multi-talented Hardware Technician to join our HW design and engineering team in Mountain View, CA. This role is extremely hands-on, providing an opportunity to work on our robots holistically and learn about both mechanical and electrical aspects of hardware. What You’ll Do: - Organize and prioritize tasks from members of the ME, EE, and Production teams that will directly contribute to the evolution of our robots - Operate and maintain 3D printers, laser cutters, and other rapid prototyping equipment - Create and assemble fixtures for robot production and testing - Run validation testing on new hardware components - Perform root cause analysis to solve real problems faced by customers - Take ownership over your work and design projects that optimize workflow for both you and your team - Understand the “why” behind every hardware design choice and learn about each component of the robot - Communicate and document test results and data in a clear and concise way What We Look For: - Commitment to taking every opportunity to learn and develop engineering skills through hands-on experience - Making experience (DIY projects, makerspace experience, etc.) - Proficiency in CAD (Solidworks preferred) - Experience diagnosing and resolving hardware issues on machines such as 3D printers (Bambu, Formlabs, and Prusa preferred) - Ability to work efficiently under pressure and meet deadlines for multiple different projects simultaneously - Strong prioritization skills - Willingness to take initiative and recognize areas of potential improvement without being asked - Excellent communication skills - Comfort with ambiguity and a high-ownership mindset - Passion for doing work that has a real impact on our final product We’d Love to Hear From You If... - You are genuinely motivated to help those around you - You are passionate about learning outside of your normal comfort zones - You love diagnosing complex technical issues - You are excited to do great work Compensation: Base: $65,000 - $85,000 per annum Actual Compensation will depend on skills, experience and qualifications. Base Salary is one part of the total compensation package. The role is also eligible for equity through the company’s discretionary equity program, along with a comprehensive benefits package. Please note that this position is not eligible for employment-based visa sponsorship.", "summaryDescription" : "Hardware Technician at Matic. Skills: Hardware technician, Robotics, Prototyping. Organize and prioritize tasks. 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We are looking for passionate and talented software engineers to help us build the future of Amazon Devices. Who you are: *An engineer with a proven track record of building high-performance, reliable systems. *Passionate about technological innovation and creating products that delight customers. *Motivated to work in a fast-paced, high-impact environment.\" Key job responsibilities *Design, develop, and operate innovative, scalable, and critical applications. *Solve complex technical challenges that operate at a high volume across millions of devices. *Collaborate with cross-functional teams to deliver robust solutions that directly enhance the customer experience. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - Bachelor's degree in computer science or equivalent - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience 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.", "summaryDescription" : "Software Dev Engineer, Hardware-Technology & Architecture at ADCI. Skills: Software development, System design. Design applications. 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We sit at the intersection of clinical cardiology, hardware, software, and data, building products that turn complex ca", "summaryDescription" : "Hardware Engineer at WearLinq", "createdAt" : "2026-06-14T00:01:58.170", "lastUpdated" : "2026-06-15T06:51:05.202", "ingestTimestamp" : "2026-06-14T00:01:58.170", "mongoId" : "6a2c9f8974d8ee00a09a0081", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Clinical cardiology", "FDA cleared devices", "FDA cleared" ], "skillCount" : 3, "jobCategory" : "healthcare", "jobSubcategory" : "operations", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.0 }, { "id" : "69ce5e3b9bc74574cb677ab3", "title" : "Algorithm Engineer", "company" : "Mercedes-Benz Group China Ltd.", "industry" : "Manufacturing", "salary" : { "min" : 2500000.0, "max" : 4000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Algorithm Engineer in Bengaluru, India, adjusted for the automotive industry and a large global company." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations", "China (Mainland)-Beijing-Beijing", "LSH Tower B, 8 Wangjing Street, , Beijing" ], "timestamp" : "2026-06-15T07:28:38.620", "fingerprint" : "fe6ac1607d00e6e1d4bcb0d62c2924fda34b740bf45eef35ca6eba19855650c7", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=882524", "externalId" : "882524", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" }, { "city" : "Pune", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "18.5213738,73.8545071" } ], "locationText" : "Bengaluru, India; Pune, India", "minimumEducation" : "Master's", "technicalSkills" : "Computer vision, Vision-language models, Deep learning, Multimodal fusion, Transformer, BERT, Natural Language Processing, Python, C++", "professionalSkills" : [ "Problem-solving", "Analytical skills", "Technical leadership", "Decision making" ], "hardSkillsList" : [ "Algorithm design", "Model training", "Model fine-tuning", "Model deployment", "Model optimization", "Model compression", "Quantization", "Inference" ], "softSkillsList" : [ "Drive" ], "hardSkills" : [ { "name" : "Algorithm design", "level" : "intermediate" }, { "name" : "Model training", "level" : "intermediate" }, { "name" : "Model fine-tuning", "level" : "intermediate" }, { "name" : "Model deployment", "level" : "intermediate" }, { "name" : "Model optimization", "level" : "intermediate" }, { "name" : "Model compression", "level" : "intermediate" }, { "name" : "Quantization", "level" : "intermediate" }, { "name" : "Inference", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Drive" } ], "majorSkills" : "Computer vision, Vision-language models, Deep learning, LLMs/VLMs", "majorSkillsList" : [ "Computer vision", "Vision-language models", "Deep learning", "LLMs/VLMs" ], "coreResponsibilities" : "Research computer vision use cases, Design computer vision use cases, Implement computer vision use cases, Research VLM use cases, Design VLM use cases, Implement VLM use cases, Train deep learning models, Fine-tune deep learning models, Integrate algorithms into vehicle system, Build toolchains for fine-tuning LLMs/VLMs, Build toolchains for deploying LLMs/VLMs, Manage training clusters, Ensure efficient inference, Experimentation, Evaluation, Knowledge transfer to team members", "teamCollaboration" : "Software teams; Hardware teams; Product teams; Cross-functional environment", "domainKnowledge" : "MBOS; Embedded platforms; Automotive domain; Robotics domain; Resource-constrained environments", "domainList" : [ "mbos", "embedded-platforms", "automotive-domain", "robotics-domain", "resource-constrained-environments" ], "domainSpecificKnowledge" : [ "MBOS", "Embedded platforms", "Automotive domain", "Robotics domain", "Resource-constrained environments" ], "toolProficiency" : [ "PyTorch", "TensorFlow", "Azure", "AWS", "Tencent" ], "communicationSkills" : "English proficiency", "problemSolvingSkills" : "Analytical; Problem-solving", "qualificationsBasic" : "Master degree or above, Develop and deploy computer vision algorithms, Develop and deploy VLM algorithms, Deep learning frameworks experience, Fine-tuning LLMs/VLMs experience, Fine-tuning optimizing LLMs/VLMs experience, Multimodal fusion techniques familiarity, Transformer BERT architecture familiarity, Natural Language Processing knowledge, Computer vision knowledge, Model compression experience, Quantization experience, Deployment on resource-constrained environments experience, Dataset collection experience, Dataset labeling experience, Dataset evaluation experience, Python programming skills, C++ programming skills", "qualificationsPreferred" : "Automotive domain experience, Robotics domain experience, Cloud services experience", "remoteFriendly" : false, "rawDescription" : "Task Description Research, design, and implement computer vision and vision-language model (VLM) use cases tailored for MBOS. Train and fine-tune deep learning models focusing on multimodal fusion and efficient deployment on embedded platforms. Work closely with software, hardware, and product teams to integrate developed algorithms into the overall vehicle system. Build and maintain toolchains for fine-tuning and deploying LLMs/VLMs, manage training clusters, and ensure efficient inference on both server-side and embedded targets. Experimentation, Evaluation, and Knowledge Transfer to other team members. Qualifications Master degree or above in Computer Science, Electrical Engineering, Robotics, or a related field. Proven hands-on experience in developing and deploying computer vision and/or VLM algorithms, preferably in the automotive or robotics domain. Experience with deep learning frameworks (such as PyTorch, TensorFlow) and classical computer vision libraries Experience with fine-tuning and optimizing LLMs/VLMs (e.g., LoRA, RAG, prompt engineering) Familiarity with multimodal fusion techniques and the architecture of models like Transformer, BERT or similar. Solid grounding in both Natural Language Processing and Computer Vision; able to design and implement solutions that leverage both modalities. Experience with model compression, quantization, and deployment on resource-constrained environments Familiarity with dataset collection, labeling, and evaluation for multimodal tasks Strong programming skills in Python and C++. Experience with cloud services (e.g., Azure, AWS, Tencent) is a plus. Outstanding analytical and problem-solving skills. Technical leadership and ability to make decisions based on technical facts. Strong sense of ownership and drive. Good communication skills and ability to work in a collaborative, cross-functional environment. English proficiency in written and spoken form. Mercedes-Benz Group China Ltd.", "summaryDescription" : "Algorithm Engineer at Mercedes-Benz Group China Ltd.. Skills: Computer vision, Vision-language models, Deep learning, LLMs/VLMs. Research computer vision use cases. Design computer vision use cases", "createdAt" : "2026-06-14T02:50:05.525", "lastUpdated" : "2026-06-15T07:28:38.620", "ingestTimestamp" : "2026-06-14T02:50:05.525", "mongoId" : "69ce5e3b9bc74574cb677ab3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Algorithm design", "Model training", "Model fine-tuning", "Model deployment", "Model optimization", "Model compression", "Quantization", "Inference", "Drive", "Computer vision", "Vision-language models", "Deep learning", "LLMs/VLMs", "Problem-solving", "Analytical skills", "Technical leadership", "Decision making", "MBOS", "Embedded platforms", "Automotive domain", "Robotics domain", "Resource-constrained environments", "PyTorch", "TensorFlow", "Azure", "AWS", "Tencent" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305a74f292fd229cf5152a", "title" : "AI Algorithm Engineer (Entry-Level / Fresh Graduates)", "company" : "Reolink", "industry" : "Technology", "salary" : { "min" : 60000.0, "max" : 84000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for an entry-level AI Algorithm Engineer in Singapore, with adjustments for the technology industry and company size." }, "location" : "31 Kaki Bukit Road 3 , Techlink 06-02 , Singapore 417818 (Take Lift B)", "locations" : [ "31 Kaki Bukit Road 3", "Techlink 06-02", "Singapore 417818 (Take Lift B)" ], "timestamp" : "2026-06-16T09:33:16.471", "fingerprint" : "d57ed44758effeb33f6905e8652cc9f22a1a5ab9165591869ccaf9410236907b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/reolink/jobs/4219139009", "externalId" : "4219139009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Machine learning, Deep learning, TensorFlow, PyTorch, Computer vision, NLP", "professionalSkills" : [ "Problem-solving", "Teamwork" ], "hardSkillsList" : [ "Model performance", "Structured datasets" ], "hardSkills" : [ { "name" : "Model performance", "level" : "intermediate" }, { "name" : "Structured datasets", "level" : "intermediate" } ], "majorSkills" : "AI Algorithm, Machine learning, Deep learning", "majorSkillsList" : [ "AI Algorithm", "Machine learning", "Deep learning" ], "coreResponsibilities" : "Develop AI models, Optimize AI models, Train models, Evaluate model performance, Improve model performance, Support experimentation deep learning, Implement deep learning techniques, Integrate AI models into products, Stay updated AI/ML developments, Contribute ideas to projects", "teamCollaboration" : "Collaborate with engineering teams", "domainKnowledge" : "Intelligent visual technology; Security solutions; Computer vision; NLP", "domainList" : [ "intelligent-visual-technology", "security-solutions", "computer-vision", "nlp" ], "domainSpecificKnowledge" : [ "Intelligent visual technology", "Security solutions", "Computer vision", "NLP" ], "toolProficiency" : [ "TensorFlow", "PyTorch" ], "communicationSkills" : "Communication skills", "continuousLearning" : "Structured Learning; Mentorship", "innovationCreativity" : "Innovations", "problemSolvingSkills" : "Problem-solving skills; Ability to learn independently", "qualificationsBasic" : "Bachelor’s degree in Computer Science, Mathematics, Engineering, or related field, Foundation in machine learning, Foundation in data structures, Foundation in algorithms, Basic understanding of computer vision, Basic understanding of NLP concepts", "qualificationsPreferred" : "Master’s degree is a plus, Exposure to Transformers, Exposure to Vision Transformers (ViT), Exposure to multimodal models (VLMs), Experience with AI/ML projects, Experience with internships, Experience with competitions, Familiarity with model training techniques, Familiarity with model tuning techniques, Familiarity with model evaluation techniques, Knowledge of deploying ML models", "workSiteFlexibility" : "Onsite", "rawDescription" : "Reolink, a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. Job Responsibilities Assist in developing and optimizing AI / machine learning models for real-world applications Train, evaluate, and improve model performance using structured datasets Support experimentation and implementation of deep learning techniques (e. g. CV, NLP) Collaborate with engineering teams to integrate AI models into products Stay updated with latest AI/ML developments and contribute ideas to projects Job Requirements Bachelor’s degree in Computer Science, Mathematics, Engineering, or related field (Master’s is a plus) Strong foundation in machine learning, data structures, and algorithms Familiarity with deep learning frameworks (e. g. TensorFlow or PyTorch) Basic understanding of computer vision or NLP concepts Strong problem-solving skills and ability to learn independently Good teamwork and communication skills Nice to Have Exposure to Transformers, Vision Transformers (ViT), or multimodal models (VLMs) Experience with AI/ML projects, internships, or competitions Familiarity with model training, tuning, and evaluation techniques Knowledge of deploying ML models (APIs, cloud, etc.) Why Join Us Kickstart Your Engineering Career Gain hands-on experience, with guidance from experienced engineers. Structured Learning & Mentorship Learn best practices Regional Exposure. Collaborate with local and regional teams, gaining valuable experience working in a cross-border environment. Growth & Career Development Clear progression path with opportunities to grow. Supportive Team Culture Work in a collaborative environment where knowledge sharing and continuous improvement are encouraged.", "summaryDescription" : "AI Algorithm Engineer (Entry-Level / Fresh Graduates) at Reolink. Skills: AI Algorithm, Machine learning, Deep learning. Develop AI models. Optimize AI models", "postedDate" : "2026-06-15T23:22:49.547", "createdAt" : "2026-06-15T23:22:49.547", "lastUpdated" : "2026-06-16T09:33:16.471", "ingestTimestamp" : "2026-06-15T23:22:49.547", "mongoId" : "6a305a74f292fd229cf5152a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Model performance", "Structured datasets", "AI Algorithm", "Machine learning", "Deep learning", "Problem-solving", "Teamwork", "Intelligent visual technology", "Security solutions", "Computer vision", "NLP", "TensorFlow", "PyTorch" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a516574d8ee00a05f6459", "title" : "Algorithms Developer", "company" : "Delta Solutions & Strategies", "industry" : "ITW/AA", "salary" : { "min" : 95000.0, "max" : 130000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Colorado Springs, CO", "locations" : [ "Colorado Springs, CO" ], "certifications" : [ "Active Secret Security Clearance", "Top Secret Security Clearance" ], "timestamp" : "2026-06-14T22:42:59.186", "fingerprint" : "733cc474d68438190d003518c9e8891cd5927f16154c333d7024ba8e85962b28", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/deltasands/0675abfd-03c9-4b7a-95a8-12b4797173b9/apply", "externalId" : "0675abfd-03c9-4b7a-95a8-12b4797173b9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Colorado Springs", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8339578,-104.8253480" } ], "locationText" : "Colorado Springs, Colorado, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C#, .Net, Java, C++", "professionalSkills" : [ "Physics modeling", "Missile warning", "Missile defense", "Software development", "Requirements gathering", "Creative solutions", "User training", "Software life cycle", "Agile software development", "Software engineering practices" ], "hardSkillsList" : [ "Mathematics", "Physics", "Simulation algorithms", "Orbital trajectories", "Suborbital trajectories", "Equations of motion", "Threat prediction", "Threat modeling", "Application software", "Logical solutions", "Mathematical solutions", "User requirements analysis", "Unit testing", "Code reviews", "Design documentation" ], "softSkillsList" : [ "Problem-solving", "Analytical abilities", "Interpersonal communication" ], "hardSkills" : [ { "name" : "Mathematics", "level" : "intermediate" }, { "name" : "Physics", "level" : "intermediate" }, { "name" : "Simulation algorithms", "level" : "intermediate" }, { "name" : "Orbital trajectories", "level" : "intermediate" }, { "name" : "Suborbital trajectories", "level" : "intermediate" }, { "name" : "Equations of motion", "level" : "intermediate" }, { "name" : "Threat prediction", "level" : "intermediate" }, { "name" : "Threat modeling", "level" : "intermediate" }, { "name" : "Application software", "level" : "intermediate" }, { "name" : "Logical solutions", "level" : "intermediate" }, { "name" : "Mathematical solutions", "level" : "intermediate" }, { "name" : "User requirements analysis", "level" : "intermediate" }, { "name" : "Unit testing", "level" : "intermediate" }, { "name" : "Code reviews", "level" : "intermediate" }, { "name" : "Design documentation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" }, { "name" : "Analytical abilities" }, { "name" : "Interpersonal communication" } ], "majorSkills" : "Physics modeling, Simulation algorithms, Software development", "majorSkillsList" : [ "Physics modeling", "Simulation algorithms", "Software development" ], "coreResponsibilities" : "Project development, Integration of C# applications, Design simulation algorithms, Implement simulation algorithms, Sustain simulation algorithms, Predict orbital trajectories, Predict suborbital trajectories, Derive equations of motion, Code equations of motion, Predict emerging threats, Model emerging threats, Interact with customers, Gather requirements, Offer creative solutions, Write documentation, Present project designs, Perform user training, Attend requirements meetings, Design application software, Develop application software, Document application software, Test application software, Debug application software, Analyze user requirements, Participate in software life cycle, Develop applications, Implement applications, Maintain applications, Perform agile software development, Utilize software engineering best practices", "teamCollaboration" : "Small team; Full software life cycle", "projectManagementSkills" : [ "Agile software development" ], "domainKnowledge" : "Missile Warning; Missile Defense; ITW/AA; OPIR; UEWR; MDA ground-based sensors; MDA sea-based sensors", "domainList" : [ "missile-warning", "missile-defense", "itw-aa", "opir", "uewr", "mda-ground-based-sensors", "mda-sea-based-sensors" ], "domainSpecificKnowledge" : [ "Missile Warning", "Missile Defense", "ITW/AA", "OPIR", "UEWR", "MDA ground-based sensors", "MDA sea-based sensors" ], "toolProficiency" : [ "Microsoft Windows" ], "communicationSkills" : "Written communication; Verbal communication; Interpersonal communication; Documentation; Presenting project designs", "documentationSkills" : "Documentation; Design documentation", "innovationCreativity" : "Creative solutions", "problemSolvingSkills" : "Problem-solving; Analytical abilities", "specialRequirements" : "Active Secret Security Clearance, Obtain Top Secret Security Clearance", "qualificationsBasic" : "Bachelor’s degree in physics, engineering, applied mathematics or another relevant field, Advanced knowledge of relevant mathematics and physics, 5+ years of software development experience, Candidate must have written, verbal, and interpersonal communication skills, Must be able to obtain Top Secret Security Clearance", "qualificationsPreferred" : "Masters preferred, Experience with C#. Net, Development in a DoD environment, Active Secret Security Clearance, Experience or understanding of ITW/AA, Missile Warning, OPIR, UEWR, NDS or MDA ground/sea-based sensors", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description Delta Solutions & Strategies is seeking a Software Developer with an advanced Mathematics and Physics background to join our team at our Corporate Headquarters in Colorado Springs, CO. This position will focus on maintenance and development of software dealing with high fidelity physics modeling for Missile Warning training. Successful candidates should be detail-oriented and have excellent problem-solving and analytical abilities. Advanced consideration will be provided to candidates with a Space background and knowledge of the Missile Warning and Missile Defense communities. ## What you will be doing Working as part of a small team on project development and integration of C# applications in a virtual environment. Designing, implementing, and sustaining simulation algorithms predicting orbital and suborbital trajectories. Deriving and coding equations of motion for boost, mid-course, and terminal guidance. Predicting and modeling emerging threats as events occur in the missile warning community. Interacting with customers to gather requirements and offer creative solutions, writing documentation, presenting project designs, performing user training, and attending requirements meetings. Designing, developing, documenting, testing, and debugging application software that contains logical and mathematical solutions. Analyzing user requirements. Participating in the full software life cycle: designing, developing, implementing, and maintaining applications on Microsoft Windows-based systems. Performing agile software development in both unclassified and classified environments while utilizing software engineering best practices including unit testing, code reviews, and design documentation. Other tasks as directed. ## What you will need Bachelor’s degree in physics, engineering, applied mathematics (Masters preferred) or another relevant field. Advanced knowledge of relevant mathematics and physics. 5+ years of software development experience Experience with C# .Net (preferred), Java, or C++ Development in a DoD environment preferred Active Secret Security Clearance preferred, must be able to obtain Top Secret Security Clearance Experience or understanding of ITW/AA, Missile Warning, OPIR, UEWR, NDS or MDA ground/sea-based sensors highly preferred. Candidate must have strong written, verbal, and interpersonal communication skills and work well in a team environment and perform independently. ## Additional Information Delta Solutions & Strategies offers a generous benefits package to include medical, dental, vision, life insurance, 401(k), PTO, paid holidays, parental, military and jury duty paid leaves. In compliance with Colorado’s Equal Pay for Equal Work Act, the salary range for this position is $95,000-$130,000. Please note that the salary information is a general guideline only. Delta Solutions & Strategies considers factors such as (but not limited to) scope and responsibilities of the position, candidate’s work experience, education/training, key skills, internal peer equity, as well as, market and business considerations when extending an offer.", "summaryDescription" : "Algorithms Developer at Delta Solutions & Strategies. Skills: Physics modeling, Simulation algorithms, Software development. Project development. Integration of C# applications", "postedDate" : "2026-06-09T14:29:02.771", "createdAt" : "2026-06-09T14:29:02.771", "lastUpdated" : "2026-06-14T22:42:59.186", "ingestTimestamp" : "2026-06-12T06:21:57.589", "mongoId" : "6a2a516574d8ee00a05f6459", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 130000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Mathematics", "Physics", "Simulation algorithms", "Orbital trajectories", "Suborbital trajectories", "Equations of motion", "Threat prediction", "Threat modeling", "Application software", "Logical solutions", "Mathematical solutions", "User requirements analysis", "Unit testing", "Code reviews", "Design documentation", "Problem-solving", "Analytical abilities", "Interpersonal communication", "Physics modeling", "Software development", "Missile warning", "Missile defense", "Requirements gathering", "Creative solutions", "User training", "Software life cycle", 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development", "level" : "intermediate" }, { "name" : "Test automation", "level" : "intermediate" }, { "name" : "Data acquisition", "level" : "intermediate" }, { "name" : "Post-processing", "level" : "intermediate" }, { "name" : "Mechanical fundamentals", "level" : "intermediate" }, { "name" : "Thermal fundamentals", "level" : "intermediate" }, { "name" : "Electrical fundamentals", "level" : "intermediate" }, { "name" : "Controls fundamentals", "level" : "intermediate" }, { "name" : "Embedded communication protocols", "level" : "intermediate" }, { "name" : "High-voltage systems", "level" : "intermediate" }, { "name" : "3D CAD", "level" : "intermediate" }, { "name" : "CAE/ FEA", "level" : "intermediate" }, { "name" : "Engineering drawings", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Root cause analysis" }, { "name" : "Team culture" }, { "name" : "Camaraderie" }, { "name" : "Ownership" } ], "majorSkills" : "Hardware test, Validation, Automated test, Embedded systems", "majorSkillsList" : [ "Hardware test", "Validation", "Automated test", "Embedded systems" ], "coreResponsibilities" : "Automate data collection, Post-process data, Support HIL/SIL validation, Correlate bench test data, Help establish test lab infrastructure, Select equipment, Establish calibration processes, Establish safety protocols, Establish documentation standards, Find specific root cause, Build robust team culture, Propagate deep camaraderie, Break down information silos, Collaborate rigorously to solve problems, Share knowledge, Provide input, Own your test from requirements to execution, Communicate across hardware, firmware, and systems teams", "teamCollaboration" : "Cross-functional teams; Hardware teams; Firmware teams; Systems teams", "domainKnowledge" : "Power products; Power electronics; Power systems; Lithium-ion batteries; Embedded hardware; High-voltage systems; Defense hardware", "domainList" : [ "power-products", "power-electronics", "power-systems", 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test platforms, Solid understanding of mechanical, thermal, electrical, and controls first principles, Familiarity with CAN, SPI, I2C, LIN, UART, or other embedded communication protocols, Experience working safely with high-voltage systems, BS or MS in Mechanical Engineering, or equivalent work experience, Experience in an immersive system design project or research study/ thesis, A minimum of 2+ years of experience in a technical engineering, design, or product role, Proven 3D CAD skills, CAE/ FEA experience, Ability to produce high-quality engineering 2D drawings", "qualificationsPreferred" : "SOLIDWORKS preferred, Ability to deal with complexity and problem solve", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Us Chariot Defense is a defense technology company that designs and manufactures a family of power products for the U. S. military and its allies. We believe that credible deterrence of armed conflict and winning if deterrence fails, requires more than just the best drones, sensors, weapons, electronic warfare systems, and command automate data collection and post-processing pipelines in Python, LabVIEW, Matlab/ Simulink or similar tools. Support HIL/SIL validation setups; correlate bench test data with simulation models to close the loop on design confidence Help establish Chariot's test lab infrastructure — equipment selection, calibration processes, safety protocols, and documentation standards What We’re Looking For Required: BS or MS in Electrical Engineering, Mechanical Engineering, Mechatronics, Robotics, or related field Experience in an immersive system design project or research study/ thesis, in collegiate project teams (e.g.: FSAE, BAJA, Hyper-mileage/ Solar Vehicles), other extracurricular participation, or professional settings. 3+ years of hands-on hardware test and validation experience — electronics/ ECUs, power electronics and power systems, Lithium-ion based batteries, or high-density embedded hardware Proficiency with electrical test equipment: oscilloscopes, power supplies, DAQs, multimeters, function generators, electronic loads Experience designing or contributing to automated test equipment (ATE) or test station development Proficiency in Python, LabVIEW or other automated test platforms for test automation, data acquisition, and post-processing Solid understanding of mechanical, thermal, electrical, and controls first principles and fundamentals Familiarity with CAN, SPI, I2C, LIN, UART, or other embedded communication protocols and the ability to use them for test and debug Experience working safely with high-voltage systems Qualifications Required: BS or MS in Mechanical Engineering, or equivalent work experience. Experience in an immersive system design project or research study/ thesis, in collegiate project teams (e.g.: SAE, FSAE, BAJA, others), other extracurricular participation, or professional settings. A minimum of 2+ years of experience in a technical engineering, design, or product role in a professional setting. Proven 3D CAD skills (any platform, but SOLIDWORKS preferred), as well as CAE/ FEA experience, and the ability to produce high-quality engineering 2D drawings that comply with common industry standards (e.g.: GD seeks persistently to find the specific root cause Gratified by helping your peers succeed, building a robust team culture, and propagating deep camaraderie amongst your peers. Seeks to break down information silos by collaborating rigorously with others to solve problems, share knowledge, and provide input Owns your test from requirements to execution — you don't wait for someone else to define the problem Effectively communicates across hardware, firmware, and systems teams without needing a translator You understand that in defense hardware, \"good enough\" isn't a concept — and you build your test coverage accordingly Role Requirements This position is an onsite role based in Chariot Defense’s San Bruno, CA, office. Willingness to support 10% travel, domestically and internationally, as well as work extended and weekend hours, when necessary Able to work on your feet for extended periods in a shop setting. Able to lift and carry 50lbs. A reasonable estimate of the current salary range is $120,000-$160,000 annually. Compensation packages also include early-stage equity and access to company-sponsored benefit plans. Individual compensation packages are based on geographic location, scope of the role, relevant experience, and the ability to deal with complexity and problem solve within our organization, among other factors. All employees are required to provide proof of authorization to work in the U. S. within their first 3 days of work. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Chariot Defense are considered property of Chariot Defense and are not subject to payment of agency fees.", "summaryDescription" : "Test Engineer, Hardware and Systems at Chariot Defense. Skills: Hardware test, Validation, Automated test, Embedded systems. Automate data collection. 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Compiler teams; Interdisciplinary team", "domainKnowledge" : "Energy-efficient computing; Programmable processors; AI/ML frameworks; Embedded applications; Computer architectures", "domainList" : [ "energy-efficient-computing", "programmable-processors", "ai-ml-frameworks", "embedded-applications", "computer-architectures" ], "domainSpecificKnowledge" : [ "Energy-efficient computing", "Programmable processors", "AI/ML frameworks", "Embedded applications", "Computer architectures" ], "toolProficiency" : [ "Altium" ], "communicationSkills" : "Communication skills", "innovationCreativity" : "Develop cutting-edge hardware; Develop cutting-edge software", "problemSolvingSkills" : "Problem solving skills; Troubleshooting silicon issues", "qualificationsBasic" : "8+ years PCB board design, 8+ years embedded systems software development, Experience debugging new silicon, 5+ years C/C++, Deep knowledge of embedded platform, Experience using development/debugging tools", "qualificationsPreferred" : "Experience with Altium, Solid grasp of computer architectures", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Efficient is developing the world’s most energy-efficient general-purpose computer processor. Efficient’s patented technology uses 100x less energy than state of the art commercially available ultra-low-power processors and is programmable using standard high-level programming languages and AI/ML frameworks. This level of efficiency makes perpetual, pervasive intelligence possible: run AI/ML continuously on a AA battery for 5-10 years. Our platform’s unprecedented level of efficiency enables IoT devices to intelligently capture and curate first-party data to drive the next major computing revolution Efficient’s Embedded Hardware Engineer will design and implement complete systems that feature the world’s most energy-efficient programmable processor. Your primary role will be to develop PCB designs and accompanying system software to test and showcase our revolutionary processors. Specifically, you will be tasked with creating bring-up test hardware and customer evaluation development kits (EDKs), and assist with customer hardware reviews. You will develop the requisite software to operate our bring-up test hardware and EDKs, as well as develop our customer-facing SDK. Additionally, you will be involved in pre-silicon activities such as validating our processors using RTL simulators and FPGA emulators, and developing secure boot ROMs. This position is a unique opportunity to develop cutting-edge hardware and software as part of a highly interdisciplinary team, helping to demonstrate the value of Efficient’s breakthrough technology. If you are an engineer who wants to be part of an intensely skilled team and wants to have an immediate impact building the next generation of energy-efficient embedded applications, this is for you! Key Responsibilities Develop bring-up test hardware and customer EDKs Engage with PCBA vendors, and manage relationships Perform board bring-up Perform pre-silicon validation activities for our processors Develop boot ROM and firmware for our processors Perform first-silicon bring-up and checkout activities Engage with Digital Design and Compiler teams to debug silicon issues Build out a low level SDK for our processors and maintain a set of standard libraries Support customers with their board development efforts, reviewing designs and providing recommended solutions Deploy applications to our processors, in software simulation, RTL emulation, and silicon implementation Required Qualifications & Experience Requirements 8+ years experience with PCB board design 8+ years of experience developing software for embedded systems Experience debugging new silicon and hardware prototypes in the lab 5+ years of experience with C and/or C++ Deep knowledge of at least one embedded platform, such as MSP430, STM32, Ambiq Apollo, PIC32, or similar Experience using industry standard development and debugging tools for embedded systems Strong attention to detail, and an ability to work on multiple projects simultaneously Good problem solving skills, communication skills, and work ethic Comfortable working at a start-up engineering pace Desired Qualifications & Experience Requirements Experience with Altium Develop Solid grasp of computer architectures We offer a competitive salary for this role, generally ranging from $160,000 to $210,000, along with meaningful equity and comprehensive benefits. The final compensation package will be based on your experience and location, with some flexibility to ensure we align with the right candidate. Why Join Efficient? Efficient offers a competitive compensation and benefits package, including 401K match, company-paid benefits, equity program, paid parental leave, and flexibility. We are committed to personal and professional development and strive to grow together as people and as a company.", "summaryDescription" : "Embedded Hardware Engineer at Efficient. Skills: Embedded hardware, System software, PCB design, Embedded systems. Design PCB designs. 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WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives. Our data science algorithms teams are responsible for developing novel algorithms and features that expand our health and fitness capabilities with medical-grade metrics. We combine continuous physiological data with clinical research and expert knowledge to generate features that are both scientifically grounded and deeply impactful for members. Currently, we have two Senior MLE roles open across two teams: DS Health team: novel algorithms within the domains of women's health, multimodal longitudinal health insights, and SaMD DS Core Algos team: performance-related insights for sleep, recovery, or exercise As a Senior Machine Learning Engineer on our Core Algos or Health team, you will design, build, and productionize ML systems that deliver meaningful, personalized health metrics to millions of members. You will work at the intersection of data science, backend engineer, and cloud infrastructure – deploying robust, scalable, and reliable ML solutions build on physiological and behavioral data streams. This role emphasizes strong coding skills, system design, and ability to deliver production-ready ML systems. RESPONSIBILITIES: - - Create, improve, and maintain production services that provide analysis for health features in collaboration with data scientists and MLOps engineers - Collaborate with data engineers to improve ML data pipelines, tooling, and validation systems that support robust model performance - Work alongside data scientists to translate research prototypes into production ML systems optimized for scale, latency and cost efficiency - Collaborate with researchers and product teams to align model development with physiological insights and member impact - Participate in on-call rotations for data science services, ensuring uptime and performance in production environments QUALIFICATIONS: - - Bachelor's Degree in Computer Science, Data Science, Applied Mathematics, or a related field (Master’s preferred). - 4+ years of professional experience as a ML engineer, applied researcher, or software engineer with a focus on ML systems - Strong coding skills in Python with a track record of writing clean, production-quality code - Experience designing, deploying and operating ML inference systems at scale (real-time streaming and/or large-scale batch) - Strong fundamentals in backend/service development (APIs, reliability, monitoring, debugging) as it relates to serving ML models - Experience deploying and maintaining ML systems on cloud platforms (AWS or GCP), including CI/CD and observability practices - Familiarity with applied ML development (frameworks, evaluation criteria, performance validation) and translating prototypes into production systems - Preferred: 2+ years of experience applying advanced mathematical and statistical techniques - Preferred: Experience working with time series data (wearable, physiological, or high-frequency sensor data) This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $150,000-$210,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements. Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.", "summaryDescription" : "Senior Machine Learning Engineer (Data Science Algorithms) at WHOOP. Skills: Machine Learning, Data Science, Algorithm Development. Develop and deploy machine learning models. Build and maintain data pipelines", "createdAt" : "2026-06-14T19:28:18.526", "lastUpdated" : "2026-06-16T04:28:14.300", "ingestTimestamp" : "2026-06-14T19:28:18.526", "mongoId" : "6a2c8c8274d8ee00a0975af3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 210000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Regression analysis", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Machine Learning", "Data Science", "Algorithm Development", "Data engineering", "Data science", "ML engineering", "Algorithm development", "Statistical modeling", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Wearable technology data", "Human physiology data", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt", "Airflow", "MLflow" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "68e6b1d870f0b99d58d66a84", "title" : "Principal Applied Scientist, Hardware Silicon and Systems Group", "company" : "ADCI", "industry" : "Machine Learning Science, Applied Science, alexa and amazon devices", "salary" : { "min" : 6000000.0, "max" : 9000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Principal Applied Scientist in Bengaluru, India, adjusted for executive seniority and technology industry." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-16T04:14:17.090", "fingerprint" : "de28bd31718a0a3a760c707970e79f984e16268c138d3264f4dc82a4f411e979", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3103322/apply", "externalId" : "601eb834-4d4c-46c8-a0b4-013265096258", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Machine learning, Deep learning, Computer architecture, Inference algorithms, TensorFlow, PyTorch, ONNX", "professionalSkills" : [ "Model architecture design", "Model optimization", "Model deployment", "Hardware acceleration", "Efficient inference", "Model compression", "Quantization", "Pruning", "Distillation", "Multimodal optimization" ], "hardSkillsList" : [ "Hardware-aware quantization", "Low-precision arithmetic" ], "hardSkills" : [ { "name" : "Hardware-aware quantization", "level" : "intermediate" }, { "name" : "Low-precision arithmetic", "level" : "intermediate" } ], "majorSkills" : "ML models, Hardware optimization, Model compression, On-device ML", "majorSkillsList" : [ "ML models", "Hardware optimization", "Model compression", "On-device ML" ], "coreResponsibilities" : "Own technical architecture, Optimize ML models, Develop novel model architectures, Establish methodologies for model compression, Create evaluation framework, Implement multimodal optimization techniques, Define technical standards, Drive research initiatives, Develop novel ML architectures, Write critical optimization code, Create proof-of-concept implementations, Influence architecture decisions, Establish standards for model optimization, Mentor others", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "On-device ML models; ML innovation; Silicon design; Resource-constrained devices; Consumer AI devices; Model training; Vision tasks; Language tasks; Multi-modal tasks; Custom silicon; Edge devices", "domainList" : [ "on-device-ml-models", "ml-innovation", "silicon-design", "resource-constrained-devices", "consumer-ai-devices", "model-training", "vision-tasks", "language-tasks", "multi-modal-tasks", "custom-silicon", "edge-devices" ], "domainSpecificKnowledge" : [ "On-device ML models", "ML innovation", "Silicon design", "Resource-constrained devices", "Consumer AI devices", "Model training", "Vision tasks", "Language tasks", "Multi-modal tasks", "Custom silicon", "Edge devices" ], "innovationCreativity" : "Industry-first model architectures; Breakthrough efficiency gains", "qualificationsBasic" : "Masters degree in Computer Science, 8+ years of experience in machine learning, Expertise in developing deep learning models, Background in computer architecture, Hands-on experience with model compression techniques, Proficiency with deep learning frameworks", "qualificationsPreferred" : "PhD in Computer Science, 10+ years of experience in machine learning, Proven expertise in co-designing ML models, In-depth understanding of model compression, Experience working on resource-constrained embedded systems, Demonstrated ability to influence technical strategy, Mentor cross-functional teams", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Hardware Silicon and Systems Group leads the development and optimization of on-device ML models for Amazon's hardware products, including audio, vision, and multi-modal AI features. We work at the critical intersection of ML innovation and silicon design, ensuring AI capabilities can run efficiently on resource-constrained devices. Currently, we enable production ML models across multiple device families, including Echo, Ring/Blink, and other consumer devices. Our work directly impacts Amazon's customer experiences in consumer AI device market. The solutions we develop determine which AI features can be offered on-device versus requiring cloud connectivity, ultimately shaping product capabilities and customer experience across Amazon's hardware portfolio. This is a unique opportunity to help shape the future of AI in consumer devices at unprecedented scale. You'll be at the forefront of developing industry-first model architectures and compression techniques that will power AI features across millions of Amazon devices worldwide. Your innovations will directly enable new AI features that enhance how customers interact with Amazon products every day. As Principal Applied Scientist you will blend expertise at the intersection of ML and hardware optimization for model training, build cutting-edge architectures for vision, language, and multi-modal tasks. Role requires a specialist in hardware-aware quantization, with hands-on experience in model compression techniques like pruning and distillation. You will be responsible for computer architecture, ML accelerator designs, efficient inference algorithms and low-precision arithmetic. Key job responsibilities As a Principal Applied Scientist, you will: • Own the technical architecture and optimization strategy for ML models deployed across Amazon's device ecosystem, from existing to yet-to-be-shipped products. • Develop novel model architectures optimized for our custom silicon, establishing new methodologies for model compression and quantization. • Create an evaluation framework for model efficiency and implement multimodal optimization techniques that work across vision, language, and audio tasks. • Define technical standards for model deployment and drive research initiatives in model efficiency to guide future silicon designs. • Spend the majority of your time doing deep technical work - developing novel ML architectures, writing critical optimization code, and creating proof-of-concept implementations that demonstrate breakthrough efficiency gains. • Influence architecture decisions impacting future silicon generations, establish standards for model optimization, and mentor others in advanced ML techniques. Basic Qualifications: Basic Qualifications: • Masters degree in Computer Science, Electrical Engineering, or a related technical field • 8+ years of experience in machine learning, with a focus on model architecture design, optimization, and deployment • Expertise in developing and deploying deep learning models for real-world applications, including vision, language, and multi modal tasks • Strong background in computer architecture, hardware acceleration, and efficient inference algorithms • Hands-on experience with model compression techniques such as pruning, quantization, and distillation • Proficiency with deep learning frameworks like TensorFlow, PyTorch, or ONNX Preferred Qualifications: • PhD in Computer Science, Electrical Engineering, or a related technical field • 10+ years of experience in machine learning, with a track record of developing novel model architectures and optimization techniques • Proven expertise in co-designing ML models and hardware accelerators for efficient on-device inference • In-depth understanding of the latest advancements in model compression, including techniques like knowledge distillation, network pruning, and hardware-aware quantization • Experience working on resource-constrained embedded systems and deploying ML models on edge devices • Demonstrated ability to influence technical strategy and mentor cross-functional teams • Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical stakeholders 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.", "summaryDescription" : "Principal Applied Scientist, Hardware Silicon and Systems Group at ADCI. Skills: ML models, Hardware optimization, Model compression, On-device ML. Own technical architecture. Optimize ML models", "postedDate" : "2026-06-14T19:48:18.334", "createdAt" : "2026-06-14T19:48:18.334", "lastUpdated" : "2026-06-16T04:14:17.090", "ingestTimestamp" : "2026-06-14T19:48:18.334", "mongoId" : "68e6b1d870f0b99d58d66a84", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3103322/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Hardware-aware quantization", "Low-precision arithmetic", "ML models", "Hardware optimization", "Model compression", "On-device ML", "Model architecture design", "Model optimization", "Model deployment", "Hardware acceleration", "Efficient inference", "Quantization", "Pruning", "Distillation", "Multimodal optimization", "On-device ML models", "ML innovation", "Silicon design", "Resource-constrained devices", "Consumer AI devices", "Model training", "Vision tasks", "Language tasks", "Multi-modal tasks", "Custom silicon", "Edge devices" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305003f292fd229ceebc63", "title" : "Staff Systems Analyst - Robotic Control Algorithms", "company" : "Intuitive", "industry" : "Medical Device", "salary" : { "min" : 215000.0, "max" : 305000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Staff Systems Analyst in Sunnyvale, CA, adjusted for lead seniority and the healthcare industry." }, "location" : "Sunnyvale, CA, United States", "locations" : [ "Sunnyvale", "CA", "United States" ], "timestamp" : "2026-06-16T06:19:26.905", "fingerprint" : "f81b2e5853964d93c3dbc1e518d1819d17e9e00f8fdfbcdcf500c202ea91aebe", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Intuitive/744000131998140-staff-systems-analyst-robotic-control-algorithms", "externalId" : "744000131998140", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "C++, Python, MATLAB, ROS, Control Systems, Robotics", "professionalSkills" : [ "Systems analysis", "Software development", "Algorithm development", "Problem solving" ], "hardSkillsList" : [ "Robotic control", "Algorithm implementation", "System integration" ], "hardSkills" : [ { "name" : "Robotic control", "level" : "intermediate" }, { "name" : "Algorithm implementation", "level" : "intermediate" }, { "name" : "System integration", "level" : "intermediate" } ], "majorSkills" : "Robotic Control Algorithms, Systems Analysis, Software Development", "majorSkillsList" : [ "Robotic Control Algorithms", "Systems Analysis", "Software Development" ], "coreResponsibilities" : "Analyze and define system requirements, Design and develop robotic control algorithms, Implement and test algorithms on robotic systems, Collaborate with cross-functional teams, Troubleshoot and resolve system issues, Document system designs and processes, Contribute to the software development lifecycle, Stay current with robotics technology trends", "teamCollaboration" : "Cross-functional teams; Engineering teams; Research teams", "projectManagementSkills" : [ "Agile methodologies" ], "domainKnowledge" : "Robotic control systems; Control theory; Real-time systems; Robotics software", "domainList" : [ "robotic-control-systems", "control-theory", "real-time-systems", "robotics-software" ], "domainSpecificKnowledge" : [ "Robotic control systems", "Control theory", "Real-time systems", "Robotics software" ], "toolProficiency" : [ "ROS", "MATLAB", "Simulink" ], "communicationSkills" : "Technical documentation; Presentations", "documentationSkills" : "Technical documentation", "continuousLearning" : "Professional development", "innovationCreativity" : "Algorithm development", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "5+ years of experience in systems analysis, Experience with robotic control algorithms, Experience with robotic systems, Experience with software development lifecycle", "qualificationsPreferred" : "Master's degree or PhD in a relevant field, Experience with real-time operating systems, Experience with control theory, Experience with machine learning", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive. As a global leader in robotic-assisted surgery and minimally invasive care, our technologies like the da Vinci surgical system and Ion have transformed how care is delivered for millions of patients worldwide. Were a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful because every improvement we make has the potential to change a life. The Future Forward organization is Intuitive’s advanced concepts group. We explore emerging technologies, prototype next-generation solutions, and build software experiences that shape the future of robotic-assisted surgery. If you're ready to contribute to something bigger than yourself and help transform the future of healthcare, you'll find your purpose here. Primary Function of Position: A Systems Analyst is responsible for the implementation of algorithms that guarantee the safe and effective use of robotic assisted surgery products. This responsibility spans the initial development of these algorithms using functional prototypes through formal product testing. Systems Analysts also provide analytic assistance to other engineering groups in the design of mechanisms, software architecture, and key component selection. As a member of the Future Forward engineering team, you will be involved in designing, implementing, and integrating complex functionality into complete surgical robot solutions and seeing these through human use and product release. The successful candidate must excel in a focused, high-energy team environment and be able to drive to solutions from rough requirements. Quick learning and a desire to understand requirements from a user’s perspective are essential to the role of a Systems Analyst. A strong sense of shared responsibility and shared reward is required, as is the ability to make work fun and interesting. Supporting you will be a team that cares about what you are doing and wants you to succeed in delivering a high-quality product that places patients first. Essential Job Duties * Design and implement real-time motion control and fault-detection algorithms for a tele-operated robotic surgical system, integrating mechanical, electrical, and software components with a deep understanding of user needs and clinical considerations. * Lead cross-functional conversations to define system performance requirements, design definition, and safety analysis by providing a system-wide perspective. * Lead performance assessment, bring-up and characterization of initial prototypes; provide timely feedback to hardware designers, identify and develop algorithmic refinements to incorporate into final products. * Analyze complex electro-mechanical devices for dynamic safety and clinical risk. * Implement safety monitor algorithms based on first-principles thinking and physics-based modeling and analysis. * Enhance system performance from initial design through manufacturing at scale and support the resolution of engineering challenges. * Document and pursue intellectual property. * Improve group workflow through tool building, and robust cross-functional interactions and mentoring other team members. ## Qualifications Required Education and Training * University degree in Computer Science, Electrical Engineering or Mechanical Engineering, or similar technical field, with 12 years of experience in control systems, servo control, or robotics. * Alternatively, a Master’s degree with 8 years of experience in one of the above technical fields, or a Ph.D. degree with 5 years of experience. Required Skills and Experience * Fluency implementing, tuning, and debugging modern servo control systems. * Expert knowledge of robot modeling and system identification techniques. * Excellent capabilities in real-time control algorithms in C or C++, with the ability to assess numerical accuracy, computational complexity and robustness in a multi-threaded and multi-processor environment. * Excellent knowledge of Python or MATLAB/Simulink for control system simulation, analysis, and testing. * Excellent verbal and written communications skills, with the ability to communicate effectively across all levels of an organization. * Excitement to learn, solve tough technical problems, and to help improve patients' lives. Preferred Skills and Experience * Expert in one or more advanced robotic control concepts such as impedance control or the control of flexible manipulators. * Experience designing software products in a regulated industry or for safety-critical applications; comfort with concepts of design input, design output, traceability, risk analysis, and mitigations. * Fluent working with version control systems such as Git or SVN and build systems such as GNU Make and CMake. * Working knowledge of embedded Linux or QNX at multiple levels including application, board bring-up, device drivers and distribution configuration. * Experience in all phases of the product development lifecycle including design, implementation, debug, verification, validation, and transfer to manufacturing. Working Conditions * None ## Additional Information Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role. Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws. [Mandatory Notices](https://careers.intuitive.com/en/eeo-and-aap/) U.S. Export Controls Disclaimer: In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees who are nationals from countries currently on embargo or sanctions status. Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government’s licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan (“TCP”) (note: typically adds 2 weeks to the hiring process). For any Intuitive role subject to export controls, final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the prospective employee’s start date, which may or may not be flexible, and within a timeframe that does not unreasonably impede the hiring need. If applicable, candidates will be notified and instructed on any requirements for these purposes. We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws. Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee. This position may be filled at a different job level than listed here depending on business need and/or on the selected candidate’s experience, knowledge and skills. Compensation will be based primarily on the job level at which the role is filled and the candidate’s qualifications, consistent with applicable law. We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.", "summaryDescription" : "Staff Systems Analyst - Robotic Control Algorithms at Intuitive. Skills: Robotic Control Algorithms, Systems Analysis, Software Development. Analyze and define system requirements. Design and develop robotic control algorithms", "postedDate" : "2026-06-12T23:56:59.000", "createdAt" : "2026-06-15T21:41:38.123", "lastUpdated" : "2026-06-16T06:19:26.905", "ingestTimestamp" : "2026-06-15T21:41:38.123", "mongoId" : "6a305003f292fd229ceebc63", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 215000, "salaryAnnualMax" : 305000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Robotic control", "Algorithm implementation", "System integration", "Robotic Control Algorithms", "Systems Analysis", "Software Development", "Systems analysis", "Software development", "Algorithm development", "Problem solving", "Agile methodologies", "Robotic control systems", "Control theory", "Real-time systems", "Robotics software", "ROS", "MATLAB", "Simulink" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cc55e74d8ee00a0a1094d", "title" : "Senior Data Scientist, Computational Biology", "company" : "DELFI Diagnostics, Inc.", "industry" : "Data Science", "salary" : { "min" : 130000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Palo Alto, CA", "locations" : [ "Palo Alto, CA" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T01:53:06.704", "fingerprint" : "0759454032dec0de0a787d20f978fd8678c9810a40229fb718c20f30ca74f8d5", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/delfidiagnostics/37bdbaa5-af3c-433e-913d-59b0747b1d98/apply", "externalId" : "37bdbaa5-af3c-433e-913d-59b0747b1d98", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Palo Alto", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.4443293,-122.1598465" } ], "locationText" : "Palo Alto, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Doctoral", "experienceMinYears" : 2, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, R, SQL, Bash, Git, Docker, Kubernetes, AWS, SageMaker, S3, EC2, Lambda, Glue, Athena, GCP, BigQuery, Vertex AI, Azure, Synapse, ML Studio, Snowflake, Databricks, Dbt, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Computational biology", "Statistical analysis", "Machine learning", "Data engineering", "Data modeling", "Algorithm development", "Scientific research", "Bioinformatics" ], "hardSkillsList" : [ "Statistical modeling", "Machine learning algorithms", "Data mining", "Data wrangling", "Algorithm implementation", "Bioinformatics pipelines", "Genomic data analysis", "Predictive modeling", "Experimental design" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning algorithms", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Data wrangling", "level" : "intermediate" }, { "name" : "Algorithm implementation", "level" : "intermediate" }, { "name" : "Bioinformatics pipelines", "level" : "intermediate" }, { "name" : "Genomic data analysis", "level" : "intermediate" }, { "name" : "Predictive modeling", "level" : "intermediate" }, { "name" : "Experimental design", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Computational Biology, Data Science, Statistical Modeling", "majorSkillsList" : [ "Machine Learning", "Computational Biology", "Data Science", "Statistical Modeling" ], "coreResponsibilities" : "Develop and implement machine learning models, Design and build data pipelines, Analyze large biological datasets, Collaborate with biologists and clinicians, Develop predictive models for disease, Perform statistical analysis on experimental data, Contribute to research publications, Stay current with ML and computational biology advancements", "teamCollaboration" : "Cross-functional teams; Biologists; Clinicians; Data scientists; Engineers", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "Computational biology; Genomics; Proteomics; Cancer biology; Machine learning in biology; Statistical genetics; Bioinformatics; Molecular biology", "domainList" : [ "computational-biology", "genomics", "proteomics", "cancer-biology", "machine-learning-in-biology", "statistical-genetics", "bioinformatics", "molecular-biology" ], "domainSpecificKnowledge" : [ "Computational biology", "Genomics", "Proteomics", "Cancer biology", "Machine learning in biology", "Statistical genetics", "Bioinformatics", "Molecular biology" ], "toolProficiency" : [ "Python", "R", "SQL", "Bash", "Git", "Docker", "Kubernetes", "AWS", "GCP", "Azure", "Snowflake", "Databricks", "Dbt", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "communicationSkills" : "Technical presentations; Scientific writing", "documentationSkills" : "Technical documentation; Code documentation; Research documentation", "continuousLearning" : "Conference attendance; Online courses; Professional development", "innovationCreativity" : "Research and development; Novel algorithm development", "problemSolvingSkills" : "Root cause analysis; Analytical thinking; Troubleshooting; Data interpretation", "outcomesObjectives" : "Advance diagnostic capabilities; Improve patient outcomes; Publish research findings", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description About Us DELFI Diagnostics, Inc. (DELFI Diagnostics) is developing next-generation, blood-based tests that are reliable, accessible and deliver a new way to help detect cancer. Employing advanced machine-learning methods to whole-genome sequencing data, the DELFI (\"DNA EvaLuation of Fragments for early Interception\") platform is built to address the highest-burden health challenges. DELFI Diagnostics prioritizes solutions that have the potential to save lives on a global scale, including for historically underserved populations. DELFI Diagnostics’ platform relies on fragmentomics – the discovery that cancer cells are more chaotic than normal cells and, when they die, leave behind tell-tale patterns and characteristics of cell-free DNA (cfDNA) fragments. FirstLook Lung, for individuals eligible for lung cancer screening, is DELFI Diagnostics’ first laboratory-developed screening test and can be part of routine blood work. FirstLook Lung uses millions of data points to reliably identify individuals who may have cancer detected through low-dose CT, including early stage disease with a negative predictive value of 99.8 percent. This test has not been cleared or approved by the FDA. In our passionate pursuit to radically improve health outcomes, we serve humanity when we: Lead with Science, Anchor in Pragmatism: We pioneer life-changing science by ensuring quality, transparency, and rigor at all times. We explore thoughtfully, experiment smartly, and deliver impact with conviction. Build With & For All: We embrace diverse backgrounds to innovate and achieve together. We are not just building a product - we aim to disrupt the path of cancer for all - no matter geography or socioeconomic class Put We over I: We are a home for high-performing people. Through teamwork, we build collective intelligence. Each of us wins when those we serve and those who serve with us--win. We show up with empathy, humility, and integrity at every step of the journey. DELFI has 1-2 designated in-office working days each week for employees who live within within 50 miles of Palo Alto, CA ## About the Role We're hiring an experienced data scientist to analyze and model high-dimensional molecular data across emerging data modalities in support of our oncology-focused cancer detection platform. You'll work at the intersection of cancer biology and data science, owning projects end-to-end while partnering closely with assay development and experimental teams. This is a high-impact role for someone who thrives in ambiguity and is energized by hard problems in early cancer detection. ## What You'll Do Own end-to-end analysis of high-dimensional molecular workstreams across multiple data modalities, from data processing through interpretation and communication of results. Contribute to classifier design, development, and validation to detect cancer in prospective clinical studies Adapt external, state-of-the-art representation and foundation models for DELFI’s internal applications Collaborate closely with Assay, Software, and Clinical teams to evaluate and integrate emerging data types into analytical pipelines Support data science coverage across active studies, including assay research, characterization and validation Work effectively in a fast-moving environment where priorities shift and self-direction is expected ## What You'll Bring Required Doctoral degree in Computational Biology, Bioinformatics, Data Science, or a related field with 2+ years of industry experience; or, Master's with 3+ years of industry experience; or, Bachelor’s with 5+ years of industry experience Hands-on experience with high-dimensional biological datasets across multiple biomarkers and molecular data types Background in cancer biology or oncology-focused research Demonstrated ability to own projects end-to-end with limited oversight Demonstrated ability to use experimental findings to drive decisions for future research or product directions Strong collaborator with wet lab and experimental teams Proficiency in Python; experience with cloud environments (AWS preferred) Preferred Experience with cfDNA, liquid biopsy, and NGS-based platforms Familiarity with ML modeling in a biological context Experience in a regulated diagnostics or clinical setting ## Additional Information We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.", "summaryDescription" : "Senior Data Scientist, Computational Biology at DELFI Diagnostics, Inc.. Skills: Machine Learning, Computational Biology, Data Science, Statistical Modeling. Develop and implement machine learning models. Design and build data pipelines", "postedDate" : "2026-06-12T19:58:38.936", "createdAt" : "2026-06-12T19:58:38.936", "lastUpdated" : "2026-06-16T01:53:06.704", "ingestTimestamp" : "2026-06-14T21:10:05.234", "mongoId" : "6a2cc55e74d8ee00a0a1094d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical modeling", "Machine learning algorithms", "Data mining", "Data wrangling", "Algorithm implementation", "Bioinformatics pipelines", "Genomic data analysis", "Predictive modeling", "Experimental design", "Machine Learning", "Computational Biology", "Data Science", "Statistical Modeling", "Computational biology", "Statistical analysis", "Machine learning", "Data engineering", "Data modeling", "Algorithm development", "Scientific research", "Bioinformatics", "Agile", "Scrum", "Genomics", "Proteomics", "Cancer biology", "Machine learning in biology", "Statistical genetics", "Molecular biology", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Python", "R", "SQL", "Bash", "Git", "Docker", "Kubernetes", "AWS", "GCP", "Azure", "Snowflake", "Databricks", "Dbt", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "skillCount" : 53, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.98 } ], "status" : 200, "message" : "mapping algorithms and ai framework computational graphs onto hardware architectures jobs", "metadata" : { "title" : "mapping algorithms and ai framework computational graphs onto hardware architectures" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 34106, "totalPages" : 683, "hasNext" : true, "hasPrevious" : false } }

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