Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI
Algorithms @ 7
CUDA
Debugging @ 7
GPU
HPC
InfiniBand
NVLink
Networking @ 7
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
We are seeking software engineers to work on next-generation high-speed interconnect technologies. Our charter is to develop the most demanding high-speed IO applications a GPU or high-performance computing server will encounter in its lifecycle, by collaborating closely with silicon architects, board/rack level designers, and platform software experts to support innovation in factories and data centers. The best candidates will have strong C++ programming skills, detailed knowledge of networking concepts, 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.
We also work closely with manufacturing teams in optimizing NVIDIA and customer production line to screen out defects.
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 diagnostic software using debug CUDA/kernel driver features
- 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
- 15+ 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 IO 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
- Capability to use AI prompt tools
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.
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.