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NVIDIA

Senior ASIC Design Verification Infrastructure and Tools Engineer – GPU

NVIDIA
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hybrid senior full-time Santa Clara

First indexed 18 May 2026

Description

We are seeking a Senior ASIC Design Verification Infrastructure and Tools Engineer to join our High Speed IO engineering team. As a key member of our team, you will be responsible for improving the speed, flexibility, and extensibility of our High-Speed IO front end integration, build, and verification flows. You will apply best-in-class internal and industry tools to enable flows that simplify work processes and collaborate with architects, designers, verification engineers, as well as methodology and infrastructure engineers to accomplish your tasks.

Key responsibilities include:

  • Improving the speed, flexibility, and extensibility of the High-Speed IO front end integration, build, and verification flows
  • Applying best-in-class internal and industry tools to enable flows that simplify work processes
  • Collaborating with architects, designers, verification engineers, as well as methodology and infrastructure engineers to accomplish your tasks
  • Deploying tracking metrics to resolve operational issues, drive forecasting, and improve design productivity

Requirements include:

  • Bachelor's or Master's in Computer Science, Computer Engineering, Electrical Engineering or closely related degree (or equivalent experience)
  • 5+ years of relevant industry experience
  • Exposure to computer architecture, ASIC design, and verification methodology is required
  • Experience with verification methodology (UVM or similar)
  • Exposure to design and verification tools (VCS or equivalent simulation tools, debug tools like Verdi interactive, Debussy, GDB)
  • Programming proficiency in Python, Perl, or other Systems Programming language
  • Fluency in Object Oriented Programming with SystemVerilog
  • Experience with Make based build systems in large, distributed computing environments
  • Experience with Continuous Integration pipelines

Preferred qualifications include:

  • Experience delivering IP to multiple GPUs/SoCs in parallel
  • Experience creating shareable and maintainable Continuous Integration pipelines in Jenkins
  • Strong verification mindset and intuition
  • Experience applying AI to solve problems or implementing agentic AI flows

If you are a creative and autonomous individual who loves the challenge of crafting the highest performance & lowest power silicon possible, we want to hear from you. Come, join our GPU ASIC team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field!