{"schemaVersion":"jobsearcher.job.v1","id":"ac3abc415f8885986553132f","url":"https://jobsearcher.com/jobs/ac3abc415f8885986553132f","canonicalUrl":"https://jobsearcher.com/jobs/ac3abc415f8885986553132f","title":"System Software Engineer - GPU","description":"We are seeking a System Software Engineer to work on next-generation computing and graphics products. Our charter is to build low level GPU testing frameworks to validate GPUs early in the life cycle. The best candidates will have strong C++ programming skills, thorough knowledge of GPU concepts and algorithms, a solid foundation of systems software with emphasis on OS fundamentals, and a deep understanding of current generation hardware architecture. Excellent interpersonal skills and a dedication to meticulous engineering practices are a requirement. As a system software engineer, you will use your knowledge of operating systems, algorithms, and computer architecture to provide robust and efficient solutions to validate and test next generation processors.\nWhat you'll be doing:\nWorking closely with architecture, hardware and driver teams through the product development life cycle of computing and graphics processors, as well as compute products.\nResponsible for crafting software tools and infrastructure required for new chip development, validation, and productization.\nArchitect and develop foundational capabilities required for Data Center and Consumer GPU diagnostics.\nYou will assess new hardware features and architect manufacturing diagnostic tests using pre-beta CUDA and Vulkan extensions. This job will require an understanding of our hardware and software architectures.\nExplore ways to use high level compute & graphics programming APIs to stress specific units and flows at a GPU and system level.\nLeverage AI-assisted development tools to accelerate test creation, debugging, and analysis while maintaining high code quality.\nApply AI/ML techniques to improve test coverage, failure triage, log analysis, and overall validation efficiency.\nCollaborate with the team to identify opportunities for agent-based or automated workflows that improve developer velocity and reliability.\nWhat we need to see:\nBS or MS degree in one of the areas of Electrical Engineering, Computer Engineering, Computer Science (or equivalent experience)\n5+ years proven experience in a related hardware/software position\nStrong C/C++ programming skills\nUnderstanding of PC architecture, and ability to work close to the hardware\nBackground with Parallel Computing, PCIE, Nvlink or server product technologies like Infiniband, Ethernet is a plus.\nExperience utilizing AI tools to improve velocity while delivering the highest quality results.\nFamiliarity with modern AI-assisted software development workflows (e.g., AI-based code generation, test generation, debugging, or analysis).\nPrevious experience of working on a large system software code base is preferable\nVery strong problem solving and debugging skills\nAbility to self-manage, show leadership, and have good interpersonal skills\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.\nYou will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until July 12, 2026.\nThis posting is for an existing vacancy.\nNVIDIA uses AI tools in its recruiting processes.\nNVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.","company":"NVIDIA","rawCompany":"nvidia","city":"Santa Clara","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-06T13:34:36.885Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"17-2061.00","title":"Computer Hardware Engineers","slug":"computer-hardware-engineers"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"334111","title":"Electronic Computer Manufacturing","slug":"electronic-computer-manufacturing"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"System Software Engineer - GPU","description":"We are seeking a System Software Engineer to work on next-generation computing and graphics products. Our charter is to build low level GPU testing frameworks to validate GPUs early in the life cycle. The best candidates will have strong C++ programming skills, thorough knowledge of GPU concepts and algorithms, a solid foundation of systems software with emphasis on OS fundamentals, and a deep understanding of current generation hardware architecture. Excellent interpersonal skills and a dedication to meticulous engineering practices are a requirement. As a system software engineer, you will use your knowledge of operating systems, algorithms, and computer architecture to provide robust and efficient solutions to validate and test next generation processors.\nWhat you'll be doing:\nWorking closely with architecture, hardware and driver teams through the product development life cycle of computing and graphics processors, as well as compute products.\nResponsible for crafting software tools and infrastructure required for new chip development, validation, and productization.\nArchitect and develop foundational capabilities required for Data Center and Consumer GPU diagnostics.\nYou will assess new hardware features and architect manufacturing diagnostic tests using pre-beta CUDA and Vulkan extensions. This job will require an understanding of our hardware and software architectures.\nExplore ways to use high level compute & graphics programming APIs to stress specific units and flows at a GPU and system level.\nLeverage AI-assisted development tools to accelerate test creation, debugging, and analysis while maintaining high code quality.\nApply AI/ML techniques to improve test coverage, failure triage, log analysis, and overall validation efficiency.\nCollaborate with the team to identify opportunities for agent-based or automated workflows that improve developer velocity and reliability.\nWhat we need to see:\nBS or MS degree in one of the areas of Electrical Engineering, Computer Engineering, Computer Science (or equivalent experience)\n5+ years proven experience in a related hardware/software position\nStrong C/C++ programming skills\nUnderstanding of PC architecture, and ability to work close to the hardware\nBackground with Parallel Computing, PCIE, Nvlink or server product technologies like Infiniband, Ethernet is a plus.\nExperience utilizing AI tools to improve velocity while delivering the highest quality results.\nFamiliarity with modern AI-assisted software development workflows (e.g., AI-based code generation, test generation, debugging, or analysis).\nPrevious experience of working on a large system software code base is preferable\nVery strong problem solving and debugging skills\nAbility to self-manage, show leadership, and have good interpersonal skills\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.\nYou will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until July 12, 2026.\nThis posting is for an existing vacancy.\nNVIDIA uses AI tools in its recruiting processes.\nNVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.","datePosted":"2026-08-06T13:34:36.885Z","dateModified":"2026-08-06T13:34:36.885Z","hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Santa Clara","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ac3abc415f8885986553132f"},"url":"https://jobsearcher.com/jobs/ac3abc415f8885986553132f"}}