Systems Test Engineer, IBCS-M
New
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Develop software tools and infrastructure for next-generation GPU and high-performance computing servers, working with architecture and hardware teams through the product lifecycle. You'll validate new processors, architect diagnostic software using CUDA extensions, and solve complex systems-level challenges. Requires 8+ years in related hardware/software roles, strong C/C++ skills, deep computer architecture knowledge, and familiarity with interconnect technologies like PCIe, NVLink, or Infiniband. Base salary $184K–$287.5K (Level 4) or $224K–$356.5K (Level 5), plus equity and benefits.
Written from this posting by Neural Jobs AI. The full description is below.
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 hardware architects, silicon 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 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 diagnostic software using pre-beta CUDA 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 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
You will also be eligible for equity and benefits.
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.Here is what this employer asked for. Sign in and we will fill in your half.
NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.
177K – 204K
Our estimate — this employer did not publish a salaryOur estimate, not the employer’s. Worked out from the middle half of 153 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.
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