Senior System Software Engineer, NPI Data Center
In short. Senior System Software Engineer, NPI Data Center at NVIDIA: a full-time senior role, on-site in Santa Clara, CA. The employer does not list a salary. Asks for 5+ years of experience. Skills mentioned: Python, C++, C, CUDA. Posted Nov 14, 2026, checked on the employer's site 18 min ago.
- Early applicant
Opens NVIDIA's own application page. No sign-up on Sudo Get Job.
Summary
Working closely with architecture, hardware and driver teams through the product development lifecycle of computing and graphics processors, as well as compute products. Responsible for crafting software tools and infrastructure required for new chip development, validation, and productization. You will assess new hardware features and architect manufacturing diagnostic tests using pre-beta CUDA and OpenGL extensions.
Quoted from NVIDIA's description, not rewritten.
Skills mentioned
About the role
We are seeking software engineers to work on next-generation NVIDIA datacenter plaforms. Our charter is to build the most stressful set of applications a GPU or high performance computing server would see in its life cycle. The best candidates will have strong python and C++ programming skills, detailed knowledge of graphics concepts and algorithms, a proven foundation of systems software with emphasis on OS fundamentals, and a deep understanding of current generation hardware architecture at systems level.
Excellent interpersonal skills and a dedication to meticulous engineering practices are a requirement. As a system software engineer, you will extensively use your knowledge of operating systems, algorithms, and computer architecture to provide robust and efficient solutions to validate and test next generation processors. Join us!
What you'll be doing:
- Working closely with architecture, hardware and driver teams through the product development lifecycle of computing and graphics processors, as well as compute products.
- Responsible for crafting software tools and infrastructure required for new chip development, validation, and productization.
- You will assess new hardware features and architect manufacturing diagnostic tests using pre-beta CUDA and OpenGL extensions.
- This job will require an understanding of our hardware and software architectures.
What we need to see:
- BS or MS degree in one of the areas of Electrical Engineering, Computer Engineering, Computer Science or equivalent experience
- Strong C/C++ or Python programming skills
- Familiarity with computer architecture, and ability to work close to the hardware
- 5+ years of relevant experience
- Background with PCIe, NVLink or server product technologies like InfiniBand, Ethernet is a plus
- Previous experience of working on a large system software code base is preferable
- Very strong problem solving and debugging skills
- Ability to self-manage, show leadership, and have good interpersonal skills
152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 18, 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.Opens NVIDIA's own application page. No sign-up on Sudo Get Job.
