{"schemaVersion":"jobsearcher.job.v1","id":"d750f4468a4ea82682a64e9d","url":"https://jobsearcher.com/jobs/d750f4468a4ea82682a64e9d","canonicalUrl":"https://jobsearcher.com/jobs/d750f4468a4ea82682a64e9d","title":"Senior Software Engineer, Embedded Software","description":"This role will be part of the runtime team which is responsible for the entire on-vehicle AD system integration, optimization, and core feature development. In this role, you will collaborate cross-functionally to define and implement sensor & vehicle interface CAN integration, diagnostics in AutoSAR safety domain, etc. You will also be responsible for the new vehicle platform and actuators integration, develop tools and procedures for new vehicle bring-up, and regular travel to our partner's proving ground to do on-vehicle testing and validation.\nResponsibilities:\nIntegrate CAN DBCs from different vehicle platforms and sensors into AUTOSAR communication stack\nMaintain and fine-tune autonomous safety features implemented within the AUTOSAR stack\nDesign and implement AUTOSAR UDS and DEM (Diagnostic Event Manager) stack\nDesign and Implement autonomous software diagnostics stack and DTC codes, with event-chain based reporting capability\nSupport on-demand troubleshoot of vehicle and system related issues reported by external partners, internal testing / operations team, or diagnostic tools.\nSupport new vehicle platform integration and bring-up activities, such as flashing and configuring of sensors and ECUs, resolving vehicle integration issues, data collection, parameter tuning, etc.\nCreate and execute vehicle tests and testing plans/campaigns per internal and customer requirements.\nExecute development tests in coordination with test management and developers.\nTravel up to 50% of the time to support on-vehicle testing of embedded systems and autonomous driving stacks.\nEnsure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.\nEnsure team compliance with QMS, monitor quality, and drive process improvements.\nRequired Skills:\nMasters or Phd in Computer Science, Mechatronics, Electrical Engineering, or a related field.\nProficient in C Programming\nSelf-motivated and passionate about autonomous driving\nWillingness to travel and work in different environments, including on and around Class-8 commercial vehicles\nProficient in Linux and GIT development workflow\nKnowledge of real-time operating systems and embedded software best practices, with hands-on experience in AUTOSAR\nFamiliarity with embedded SW debugging tools (Lauterbach, ISystem, etc.), Vector tools (CANalyzer, CANoe, etc.)\nClear understanding of communication protocols in automotive like CAN/CAN-FD, LIN, SPI, Ethernet, and diagnostic protocols like UDS and J1939\nHands-on experience in DTC / UDS design and AutoSAR DEM (Diagnostic Event Manager) implementation for Autonomous / ADAS systems, including Diagnostic Event Chain implementation\nUnderstanding of different Level of SW testing and experience in building automation testing infrastructure\nProven teamwork, communication, analytical, and systematic working skills\nPreferred Skills:\nFamiliarity with Python and C++ programming\nUnderstanding of autonomous driving software stack\nBasic understanding of different sensor concepts (camera/lidar/radar/gps/imu)\nBasic understanding of hardware / electronics, familiar with vehicle harnesses\nExperience with Infineon Aurix MCU and automotive high-performance SOC embedded systems\n\nWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.","company":"Plusai","rawCompany":"plusai","city":"Fremont","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-08-19T15:46:06.372Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1253.00","title":"Software Quality Assurance Analysts and Testers","slug":"software-quality-assurance-analysts-and-testers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"336110","title":"Automobile and Light Duty Motor Vehicle Manufacturing","slug":"automobile-and-light-duty-motor-vehicle-manufacturing"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Software Engineer, Embedded Software","description":"This role will be part of the runtime team which is responsible for the entire on-vehicle AD system integration, optimization, and core feature development. In this role, you will collaborate cross-functionally to define and implement sensor & vehicle interface CAN integration, diagnostics in AutoSAR safety domain, etc. You will also be responsible for the new vehicle platform and actuators integration, develop tools and procedures for new vehicle bring-up, and regular travel to our partner's proving ground to do on-vehicle testing and validation.\nResponsibilities:\nIntegrate CAN DBCs from different vehicle platforms and sensors into AUTOSAR communication stack\nMaintain and fine-tune autonomous safety features implemented within the AUTOSAR stack\nDesign and implement AUTOSAR UDS and DEM (Diagnostic Event Manager) stack\nDesign and Implement autonomous software diagnostics stack and DTC codes, with event-chain based reporting capability\nSupport on-demand troubleshoot of vehicle and system related issues reported by external partners, internal testing / operations team, or diagnostic tools.\nSupport new vehicle platform integration and bring-up activities, such as flashing and configuring of sensors and ECUs, resolving vehicle integration issues, data collection, parameter tuning, etc.\nCreate and execute vehicle tests and testing plans/campaigns per internal and customer requirements.\nExecute development tests in coordination with test management and developers.\nTravel up to 50% of the time to support on-vehicle testing of embedded systems and autonomous driving stacks.\nEnsure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.\nEnsure team compliance with QMS, monitor quality, and drive process improvements.\nRequired Skills:\nMasters or Phd in Computer Science, Mechatronics, Electrical Engineering, or a related field.\nProficient in C Programming\nSelf-motivated and passionate about autonomous driving\nWillingness to travel and work in different environments, including on and around Class-8 commercial vehicles\nProficient in Linux and GIT development workflow\nKnowledge of real-time operating systems and embedded software best practices, with hands-on experience in AUTOSAR\nFamiliarity with embedded SW debugging tools (Lauterbach, ISystem, etc.), Vector tools (CANalyzer, CANoe, etc.)\nClear understanding of communication protocols in automotive like CAN/CAN-FD, LIN, SPI, Ethernet, and diagnostic protocols like UDS and J1939\nHands-on experience in DTC / UDS design and AutoSAR DEM (Diagnostic Event Manager) implementation for Autonomous / ADAS systems, including Diagnostic Event Chain implementation\nUnderstanding of different Level of SW testing and experience in building automation testing infrastructure\nProven teamwork, communication, analytical, and systematic working skills\nPreferred Skills:\nFamiliarity with Python and C++ programming\nUnderstanding of autonomous driving software stack\nBasic understanding of different sensor concepts (camera/lidar/radar/gps/imu)\nBasic understanding of hardware / electronics, familiar with vehicle harnesses\nExperience with Infineon Aurix MCU and automotive high-performance SOC embedded systems\n\nWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.","datePosted":"2026-08-19T15:46:06.372Z","dateModified":"2026-08-19T15:46:06.372Z","hiringOrganization":{"@type":"Organization","name":"Plusai","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Fremont","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d750f4468a4ea82682a64e9d"},"url":"https://jobsearcher.com/jobs/d750f4468a4ea82682a64e9d"}}