GPU Development Tools System Software Engineer

NVIDIASanta Clara, CA
Hybrid

About The Position

The NVIDIA Infrastructure Group is seeking world-class programmers to design, implement, and debug the next generation of large-scale, general-purpose graphics and computing chips. In this role, you will help build the core verification infrastructure that drives the development of our GPU and Tegra chips. This strongly object-oriented C++ and Python infrastructure encompasses several extensive applications that allow us to efficiently verify the world's largest chips with a sophisticated distributed computing execution and triage environment. Come and join our diverse, international, fast-paced team with high production-quality standards. What You’ll Be Doing: Developing environments to program and test next-generation GPU and SoC features well before they are integrated into products or supported by driver software. Every day brings new and meaningful challenges. Collaborating with colleagues across architecture, hardware, and software teams to unlock the functionality and performance of next-generation NVIDIA chips. Participating in the full chip development lifecycle—from architectural specification through release to production.

Requirements

  • BS or MS (or equivalent experience) in CS, CE, EE, or a related field.
  • 5+ working year experience and strong proficiency in C++ programming.
  • Excellent communication skills.

Nice To Haves

  • Familiarity with compute architecture, OS design, or driver development (a strong plus).
  • Python programming experience (a plus).

Responsibilities

  • Developing environments to program and test next-generation GPU and SoC features well before they are integrated into products or supported by driver software.
  • Collaborating with colleagues across architecture, hardware, and software teams to unlock the functionality and performance of next-generation NVIDIA chips.
  • Participating in the full chip development lifecycle—from architectural specification through release to production.
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