Senior System Software Engineer - GPU Server
US, CA, Santa ClaraPosted May 18, 2026
Overview
- Added in 30 days
- 658
- At this company, still open
Skills named in this posting
- PCIe
- Ethernet
- C
- C++
- CUDA
We are seeking software engineers to work on next-generation graphics and computing products. Our charter is to develop the most demanding applications a GPU or high-performance computing server will encounter in its lifecycle, by collaborating closely with customers to support innovation in their factories and data centers. The best candidates will have strong C++ programming skills, detailed knowledge of graphics concepts and algorithms, a solid foundation of systems software with emphasis on OS fundamentals, and a deep understanding of current generation hardware architecture at systems level. Excellent communication 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. 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
• 8+ years experience in a related hardware/software position
• Strong C/C++ programming skills
• Familiarity with computer architecture, and ability to work close to the hardware
• 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
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us and, due to unprecedented growth, our elite engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
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 for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 22, 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.
Apply on the employer's site
Original posting: jobs.nvidia.com
RISC-V ecosystem
NVIDIA Corporation in the RISC-V ecosystem
RISC-V International: Premier Board
Founded in 1993, NVIDIA is an AI computing company. The company is headquartered in Santa Clara, California.
- NVIDIA is bringing CUDA platform support to RISC-V, i.e. allowing a RISC-V CPU to host CUDA GPU applications
- Publicly credited the RVA23 profile as the enabler: "We wouldn't have considered porting CUDA to RISC-V without it"
- Active in RISC-V International profile/standards work and a frequent presence in RISC-V ecosystem coverage
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