NVIDIA is seeking outstanding 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 verification 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)
- Exposure to computer architecture, ASIC design, and verification methodology is required
- 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
- Strong problem-solving, debugging and analytical skills
Ways to stand out from the crowd:
- Background with verification methodology (UVM or similar)
- Experience with Continuous Integration pipelines (Jenkins or similar)
- Experience with Make based build systems in large, distributed computing environments
- Background with VCS or equivalent simulation tools, debug tools like Verdi interactive, Debussy, GDB
- Experience applying AI to solve problems or implementing agentic AI flows
