{"schemaVersion":"jobsearcher.job.v1","id":"5ec5dfce3ae068f2a5fb21e0","url":"https://jobsearcher.com/jobs/5ec5dfce3ae068f2a5fb21e0","canonicalUrl":"https://jobsearcher.com/jobs/5ec5dfce3ae068f2a5fb21e0","title":"Senior System Software Engineer, Performance - CUDA Driver","description":"We are hiring senior engineers to work on the CUDA driver and runtime, core components of our platform for accelerating general purpose computation on the GPU. Our team analyzes performance of applications, investigates bottlenecks in software or hardware and delivers features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving cars to video games and virtual reality.\nCUDA defines a unified programming model across a range of system configurations and hardware capabilities. To accomplish this, the CUDA driver interacts with GPU hardware, kernel mode drivers, and the operating system.\nWhat you'll be doing:\nAs a member of our team, you will use your design abilities, coding expertise, and creativity to deliver the best compute platform in the world. You will craft elegant solutions to exciting problems and craft the future direction of CUDA as you collaborate with your peers across NVIDIA. You will investigate complex performance problems and deliver robust solutions that accelerate applications.\nEvangelize, architect, and implement new features\nOversee and drive development efforts across multiple teams\nAnalyze full stack performance ranging from application level through libraries, system software, kernel software and hardware\nDefine forward-looking improvements to the CUDA APIs and programming model\nCreate novel system software optimizations\nWrite effective, maintainable, and well-tested code\nDevelop code for multiple operating systems\nWhat we need to see:\nBS or MS degree in Computer Science, Electrical Engineering (or equivalent experience)\n7+ years of related development experience\nStrong C programming skills\nExperience working with large codebases\nTrack record of debugging performance problems in complex environments with software and hardware components\nExperience with operating system interfaces for threads, process control, and virtual memory\nExperience writing and debugging multithreaded programs\nDeep understanding of technology and passionate about what you do\nStrong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic matrix environment. Good written communication.\nWays to stand out from the crowd:\nUnderstanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO\nExperience with performance tuning of device drivers or low level system software\nExperience with performance optimizations across a variety of CPU architectures - like x86, POWER and ARM\nKnowledge of memory coherence and consistency models\nExperience with Windows, Linux, or macOS driver development\nNVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and hardworking people in the world working for us. If you're creative and autonomous, and are interested in working on novel problems in a collaborative environment, we want to hear from you!\n#LI-Hybrid\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.\nYou will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until July 28, 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":"2026-04-14T04:32:56.453Z","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":"Senior System Software Engineer, Performance - CUDA Driver","description":"We are hiring senior engineers to work on the CUDA driver and runtime, core components of our platform for accelerating general purpose computation on the GPU. Our team analyzes performance of applications, investigates bottlenecks in software or hardware and delivers features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving cars to video games and virtual reality.\nCUDA defines a unified programming model across a range of system configurations and hardware capabilities. To accomplish this, the CUDA driver interacts with GPU hardware, kernel mode drivers, and the operating system.\nWhat you'll be doing:\nAs a member of our team, you will use your design abilities, coding expertise, and creativity to deliver the best compute platform in the world. You will craft elegant solutions to exciting problems and craft the future direction of CUDA as you collaborate with your peers across NVIDIA. You will investigate complex performance problems and deliver robust solutions that accelerate applications.\nEvangelize, architect, and implement new features\nOversee and drive development efforts across multiple teams\nAnalyze full stack performance ranging from application level through libraries, system software, kernel software and hardware\nDefine forward-looking improvements to the CUDA APIs and programming model\nCreate novel system software optimizations\nWrite effective, maintainable, and well-tested code\nDevelop code for multiple operating systems\nWhat we need to see:\nBS or MS degree in Computer Science, Electrical Engineering (or equivalent experience)\n7+ years of related development experience\nStrong C programming skills\nExperience working with large codebases\nTrack record of debugging performance problems in complex environments with software and hardware components\nExperience with operating system interfaces for threads, process control, and virtual memory\nExperience writing and debugging multithreaded programs\nDeep understanding of technology and passionate about what you do\nStrong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic matrix environment. Good written communication.\nWays to stand out from the crowd:\nUnderstanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO\nExperience with performance tuning of device drivers or low level system software\nExperience with performance optimizations across a variety of CPU architectures - like x86, POWER and ARM\nKnowledge of memory coherence and consistency models\nExperience with Windows, Linux, or macOS driver development\nNVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and hardworking people in the world working for us. If you're creative and autonomous, and are interested in working on novel problems in a collaborative environment, we want to hear from you!\n#LI-Hybrid\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.\nYou will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until July 28, 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":"2026-04-14T04:32:56.453Z","dateModified":"2026-04-14T04:32:56.453Z","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":"5ec5dfce3ae068f2a5fb21e0"},"url":"https://jobsearcher.com/jobs/5ec5dfce3ae068f2a5fb21e0"}}