Senior ASIC Design Verification Infrastructure and Tools Engineer – GPU

About the role

NVIDIA is seeking outstanding Senior Design Verification Engineers with a specialty in tools and automation to drive efficiency and collaboration among our High Speed IO engineering teams. This position offers the opportunity to have a big impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to artificial intelligence to self-driving cars and supercomputers. Our DV infrastructure and methodology team automates, analyzes, and optimizes the verification and deployment of next-generation hardware and firmware designs throughout Nvidia.

What You'll Be Doing

• Improve the speed, flexibility, and extensibility of the High-Speed IO front end integration, build, and verification flows
• Apply best in class internal and industry tools to enable flows that simplify work processes
• Find out needs of the team and create solutions; explain to the team how to maximize productivity with the tools you provide
• Keep the High-Speed IO Continuous Integration system at the cutting edge of industry techniques
• Collaborate with architects, designers, verification engineers, as well as methodology and infrastructure engineers to accomplish your tasks
• Deploy tracking metrics to resolve operational issues, drive forecasting, and improve design productivity
• Remove inefficiency wherever you can find it!

What We Need To See

• Bachelors or Masters in Computer Science, Computer Engineering, Electrical Engineering or closely related degree (or equivalent experience)
• 8+ 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
• You should display a tenacity to root cause and fix Infrastructure problems, especially intermittent, hard to isolate issues in a complex computing environment

Ways To Stand Out From The Crowd

• 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

Pay

Base salary range: 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5. You will also be eligible for equity and benefits.