{"schemaVersion":"jobsearcher.job.v1","id":"99a717e2a6a32e61b5e3a137","url":"https://jobsearcher.com/jobs/99a717e2a6a32e61b5e3a137","canonicalUrl":"https://jobsearcher.com/jobs/99a717e2a6a32e61b5e3a137","title":"System Software Engineer - CUDA Chips","description":"We are hiring engineers to work on the CUDA driver, a core component of our platform for accelerating general purpose computation on the GPU. Our team delivers features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from across deep learning, scientific computation, and self-driving cars, video games and virtual reality.\nCUDA helps define a unified programming model across a range of system configurations and hardware capabilities accomplished through CUDA driver interaction with GPU hardware, kernel mode drivers, and the operating system. This role incorporates strong system software programming skills, a detailed understanding of operating systems and kernel programming, hardware architecture, as well as excellent communication and planning skills. You will work closely with both hardware engineers and other software engineers to craft, develop, debug and deploy many functional aspects of NVIDIA hardware and mobile system-on-chip (SOC) devices!\nWhat you'll be doing:\nYou can expect be heavily involved through all aspects of development of our world-class products, ranging up front from design feedback, early modeling, simulation of hardware in pre-silicon environments, all the way through to early silicon bringup and final feature deployment in production software ultimately delivered to end users. You should be eager to learn about, and contribute to, the design of new compute and graphics drivers and new GPU architectures!\nIn this role, you will:\nDevelop Software on Pre-Si environments(Simulation/Emulation)\nOwn and drive CUDA enablement for new Silicon and Architecture\nWork with SW, HW and relevant teams to develop, stabilize and productize CUDA features for new chips and systems\nPromote, architect, and implement new features, as well as own contribution to bring up of CUDA on new chips\nHelp define forward-looking improvements to the CUDA APIs and programming model, while driving development efforts across multiple teams\nWrite effective, maintainable, and well-tested code\nDeveloping code for multiple operating systems\nWhat we need to see:\nBS or MS degree in Computer Engineering, Computer Science, Electrical Engineering or equivalent experience\n2+ years of relevant systems software development experience\nStrong C programming skills, knowledge of parallel programming\nExcellent knowledge of computer system architectures\nExperience with operating system interfaces for threads, process control, and virtual memory\nExperience writing and debugging multithreaded programs\nBackground with working with large codebases\nDeep understanding of technology and passionate about what you do\nGood written communication as well as strong collaborative skills and ability to effectively guide and influence across groups\nWays to stand out from the crowd:\nUnderstanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO\nKnowledge of memory coherence and consistency models\nBackground with kernel mode development\nExperience with Windows, Linux, or macOS driver development\nSome familiarity with C++, CUDA experience\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD.\nYou will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until June 26, 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":true,"createdAt":"2026-08-04T13:21:08.803Z","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":"334413","title":"Semiconductor and Related Device Manufacturing","slug":"semiconductor-and-related-device-manufacturing"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"System Software Engineer - CUDA Chips","description":"We are hiring engineers to work on the CUDA driver, a core component of our platform for accelerating general purpose computation on the GPU. Our team delivers features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from across deep learning, scientific computation, and self-driving cars, video games and virtual reality.\nCUDA helps define a unified programming model across a range of system configurations and hardware capabilities accomplished through CUDA driver interaction with GPU hardware, kernel mode drivers, and the operating system. This role incorporates strong system software programming skills, a detailed understanding of operating systems and kernel programming, hardware architecture, as well as excellent communication and planning skills. You will work closely with both hardware engineers and other software engineers to craft, develop, debug and deploy many functional aspects of NVIDIA hardware and mobile system-on-chip (SOC) devices!\nWhat you'll be doing:\nYou can expect be heavily involved through all aspects of development of our world-class products, ranging up front from design feedback, early modeling, simulation of hardware in pre-silicon environments, all the way through to early silicon bringup and final feature deployment in production software ultimately delivered to end users. You should be eager to learn about, and contribute to, the design of new compute and graphics drivers and new GPU architectures!\nIn this role, you will:\nDevelop Software on Pre-Si environments(Simulation/Emulation)\nOwn and drive CUDA enablement for new Silicon and Architecture\nWork with SW, HW and relevant teams to develop, stabilize and productize CUDA features for new chips and systems\nPromote, architect, and implement new features, as well as own contribution to bring up of CUDA on new chips\nHelp define forward-looking improvements to the CUDA APIs and programming model, while driving development efforts across multiple teams\nWrite effective, maintainable, and well-tested code\nDeveloping code for multiple operating systems\nWhat we need to see:\nBS or MS degree in Computer Engineering, Computer Science, Electrical Engineering or equivalent experience\n2+ years of relevant systems software development experience\nStrong C programming skills, knowledge of parallel programming\nExcellent knowledge of computer system architectures\nExperience with operating system interfaces for threads, process control, and virtual memory\nExperience writing and debugging multithreaded programs\nBackground with working with large codebases\nDeep understanding of technology and passionate about what you do\nGood written communication as well as strong collaborative skills and ability to effectively guide and influence across groups\nWays to stand out from the crowd:\nUnderstanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO\nKnowledge of memory coherence and consistency models\nBackground with kernel mode development\nExperience with Windows, Linux, or macOS driver development\nSome familiarity with C++, CUDA experience\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD.\nYou will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until June 26, 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":"2026-08-04T13:21:08.803Z","dateModified":"2026-08-04T13:21:08.803Z","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":"99a717e2a6a32e61b5e3a137"},"url":"https://jobsearcher.com/jobs/99a717e2a6a32e61b5e3a137"}}