{"schemaVersion":"jobsearcher.job.v1","id":"d6be282fbde6ba20cef77c62","url":"https://jobsearcher.com/jobs/d6be282fbde6ba20cef77c62","canonicalUrl":"https://jobsearcher.com/jobs/d6be282fbde6ba20cef77c62","title":"Radar Systems GPU Software engineer","description":"OverviewIn this role, you design and optimize GPU-accelerated radar signal processing for automotive ADAS and autonomous driving. You will work within a cross-functional team to deliver real-time radar algorithms on GPU platforms and ensure robust performance in vehicle environments. You'll diagnose bottlenecks, test integrations with ADAS/autonomous systems, and document complex solutions for broad use. Aptiv offers a mission-driven environment focused on safer, software-defined mobility and scalable radar technologies. This is a hands-on, impact-focused opportunity to shape next-generation automotive sensing capabilities.Compensation / BenefitsPrivate health care effective day 1Life and accident insurancePaid Time OffRelocation assistance may be availableLearning and development opportunitiesTuition ReimbursementResponsibilitiesDesign, implement, and optimize radar signal processing algorithms for GPU-based automotive platformsEnhance performance using GPU parallelism and memory management to achieve real-time, low-latency radar processingIntegrate radar algorithms with ADAS and autonomous driving systems and validate them with cross-functional teamsDebug and troubleshoot performance issues and bugs on GPU platformsCollaborate with radar system engineers, hardware teams, and software developers to align requirementsDocument technical designs, code, and usage guides for cross-team clarityKey requirementsMaster's degree in Computer Science or Electrical Engineering3+ years of GPU programming and radar signal processing experience in automotive or related industriesCUDA expertise with a focus on real-time processingStrong knowledge of radar algorithms (FFT, Doppler, CFAR) and radar sensor dataFamiliarity with ADAS standards (ISO 26262, AUTOSAR) and radar system requirementsProficiency in C/C++, Python, and MATLABExperience with GPU debugging/profiling tools such as Nsight, PerfHUDcollaborative team playerstrong communicationproblem solvingCUDAradar signal processingFFT","company":"Control Tec","rawCompany":"control tec","city":"Indianapolis","state":"IN","isRemote":false,"isActive":false,"createdAt":"2026-10-26T14:32:53.477Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"17-2061.00","title":"Computer Hardware Engineers","slug":"computer-hardware-engineers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Radar Systems GPU Software engineer","description":"OverviewIn this role, you design and optimize GPU-accelerated radar signal processing for automotive ADAS and autonomous driving. You will work within a cross-functional team to deliver real-time radar algorithms on GPU platforms and ensure robust performance in vehicle environments. You'll diagnose bottlenecks, test integrations with ADAS/autonomous systems, and document complex solutions for broad use. Aptiv offers a mission-driven environment focused on safer, software-defined mobility and scalable radar technologies. This is a hands-on, impact-focused opportunity to shape next-generation automotive sensing capabilities.Compensation / BenefitsPrivate health care effective day 1Life and accident insurancePaid Time OffRelocation assistance may be availableLearning and development opportunitiesTuition ReimbursementResponsibilitiesDesign, implement, and optimize radar signal processing algorithms for GPU-based automotive platformsEnhance performance using GPU parallelism and memory management to achieve real-time, low-latency radar processingIntegrate radar algorithms with ADAS and autonomous driving systems and validate them with cross-functional teamsDebug and troubleshoot performance issues and bugs on GPU platformsCollaborate with radar system engineers, hardware teams, and software developers to align requirementsDocument technical designs, code, and usage guides for cross-team clarityKey requirementsMaster's degree in Computer Science or Electrical Engineering3+ years of GPU programming and radar signal processing experience in automotive or related industriesCUDA expertise with a focus on real-time processingStrong knowledge of radar algorithms (FFT, Doppler, CFAR) and radar sensor dataFamiliarity with ADAS standards (ISO 26262, AUTOSAR) and radar system requirementsProficiency in C/C++, Python, and MATLABExperience with GPU debugging/profiling tools such as Nsight, PerfHUDcollaborative team playerstrong communicationproblem solvingCUDAradar signal processingFFT","datePosted":"2026-10-26T14:32:53.477Z","dateModified":"2026-10-26T14:32:53.477Z","hiringOrganization":{"@type":"Organization","name":"Control Tec","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Indianapolis","addressRegion":"IN","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d6be282fbde6ba20cef77c62"},"url":"https://jobsearcher.com/jobs/d6be282fbde6ba20cef77c62"}}