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Senior System Software Engineer, Data Center Diagnostics

NVIDIANVIDIA·Semiconductors

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About the role

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

  • 5+ years experience in a related hardware/software position

  • Strong C/C++ programming and Python 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

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 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 May 24, 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.

Skills & Tags

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Aplyr's read

NVIDIA is a pioneering force in GPUs and AI, attracting top talent in engineering and innovation-driven roles across various tech domains.

Synthesized from recent postings & public sources

What's promising

  • NVIDIA leads the GPU market, crucial for gaming and AI applications.
  • The company invests heavily in AI and deep learning, driving technological advancements.
  • NVIDIA's strong market position offers stability and growth opportunities for employees.

What to watch

  • High competition in the semiconductor industry can impact market share.
  • Rapid technological changes require constant adaptation and learning.
  • Intense workload and high expectations may affect work-life balance.

Why NVIDIA

  • NVIDIA's GPUs are industry benchmarks in gaming and professional graphics.
  • The company's AI research is at the forefront of deep learning innovation.
  • NVIDIA's culture emphasizes cutting-edge technology and engineering excellence.

Aplyr’s read is generated by AI from public sources. Was it useful?

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About NVIDIA

NVIDIA is a leading technology company known for its graphics processing units (GPUs) for gaming and professional markets, as well as its advancements in artificial intelligence and deep learning.

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