Senior Systems Software Engineer, CUDA Driver

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. We're looking to grow our company, and form teams with the smartest people in the world. Join us at the forefront of technological advancement.   Are you a motivated system software engineer with a deep understanding of device driver who has phenomenal C/C++ skills? If so, this role might be for you. We are looking for a seasoned software professional to work on the CUDA Driver, a core component of our platform for accelerating general purpose computation on the GPU. You will be an integral part of a team that 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, data science and self-driving cars to video games and virtual reality.

As 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 shape the future direction of CUDA as you collaborate with your peers across NVIDIA.   Evangelize, architect, and implement new features   Coordinate and drive development efforts across multiple teams   Help define forward-looking improvements to the CUDA APIs and programming model   Write effective, maintainable, and well-tested code   Develop code for multiple operating systems   What we need to see:   BS or MS degree in Computer Science, Electrical Engineering ​ or related field (or equivalent experience)   Strong C and C++ programming skills   Minimum of 7 years of related development experience (multiple positions for varying experience levels open)   Experience driving projects across multiple teams   Experience working with large codebases   Background with operating system interfaces for threads, process control, and virtual memory   Experience writing and debugging multithreaded programs   Good written communication as well as presentation skills   Ways to stand out from the crowd:   Prior experience with parallel computing   Understanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO   Knowledge of memory coherence and consistency models   Background with kernel mode development   Experience with Linux, or Windows Systems Software development   Your 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. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until September 4, 2026. This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. NVIDIA 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.