System Software Engineer - GPU

Posted Yesterday
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Santa Clara, CA, USA
In-Office
152K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
We are seeking a System Software Engineer to develop low level GPU testing frameworks. Responsibilities include creating software tools for GPU diagnostics and collaborating with hardware teams to improve validation processes using AI/ML techniques.
Summary Generated by Built In

We are seeking a System Software Engineer to work on next-generation computing and graphics products. Our charter is to build low level GPU testing frameworks to validate GPUs early in the life cycle. The best candidates will have strong C++ programming skills, thorough knowledge of GPU concepts and algorithms, a solid foundation of systems software with emphasis on OS fundamentals, and a deep understanding of current generation hardware architecture. Excellent interpersonal skills and a dedication to meticulous engineering practices are a requirement. As a system software engineer, you will 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 life cycle 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.  

  • Architect and develop foundational capabilities required for Data Center and Consumer GPU diagnostics.  

  • You will assess new hardware features and architect manufacturing diagnostic tests using pre-beta CUDA and Vulkan extensions. This job will require an understanding of our hardware and software architectures.  

  • Explore ways to use high level compute & graphics programming APIs to stress specific units and flows at a GPU and system level.  

  • Leverage AI-assisted development tools to accelerate test creation, debugging, and analysis while maintaining high code quality.  

  • Apply AI/ML techniques to improve test coverage, failure triage, log analysis, and overall validation efficiency.  

  • Collaborate with the team to identify opportunities for agent-based or automated workflows that improve developer velocity and reliability.

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 proven experience in a related hardware/software position  

  • Strong C/C++ programming skills  

  • Understanding of PC architecture, and ability to work close to the hardware  

  • Background with Parallel Computing, PCIE, Nvlink or server product technologies like Infiniband, Ethernet is a plus.  

  • Experience utilizing AI tools to improve velocity while delivering the highest quality results.  

  • Familiarity with modern AI-assisted software development workflows (e.g., AI-based code generation, test generation, debugging, or analysis).  

  • 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 16, 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 Required

  • BS or MS in Electrical Engineering, Computer Engineering, Computer Science or equivalent experience
  • 5+ years proven experience in a related hardware/software position
  • Strong C/C++ programming skills
  • Understanding of PC architecture and ability to work close to the hardware
  • Experience utilizing AI tools to improve velocity while delivering results
  • Familiarity with modern AI-assisted software development workflows

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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