You are a seasoned systems software engineer with at least seven years of development experience and a strong foundation in C and C++ programming. A degree in C
Work type: remote
Location: US, CA, Santa Clara | US, TX, Austin | US, NC, Remote | US, TX, Remote | US, OR, Remote | US, CA, Remote
Salary: $184,000 – $287,500/yr
Type: Full-time
You are a seasoned systems software engineer with at least seven years of development experience and a strong foundation in C and C++ programming. A degree in Computer Science, Electrical Engineering, or related field is required for this role. **What makes it worth a look...** NVIDIA offers a base salary range of $184,000 to $287,500 for this fully remote position available across various U.S. states. You will gain exposure to industry-leading GPU technology while working on the CUDA platform to shape future computational workloads. **You might be a good fit if you...** * Possess deep expertise in device drivers and kernel mode development. * Have a strong background in multithreaded programming and virtual memory management. * Are comfortable navigating and contributing to large, complex codebases. * Understand system-level architecture like memory hierarchy and interconnects.
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.
What you'll be doing:
You will also be eligible for equity and [benefits](https://www.nvidia.com/en-us/benefits/).
Applications for this job will be accepted at least until April 19, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.