Nvidia GPU Verification Architect 

United States, California 

742509449

What you will be doing:

• Define, build, and drive the verification test plan for specific GPU products to ensure outstanding performance.

• Collaborate with multiple teams including Architecture, ASIC, DV, Emulation, and Infrastructure to achieve seamless integration and strictly adhere to project timelines.

• Ensure reliable execution of the defined test plan, triage failures, and successfully implement fixes to drive bugs to closure.

• Manage project timelines effectively, ensuring team alignment for smooth progression and flawless execution.

• Monitor andanticipateresource requirements,determiningneeds throughout the verification process to compete effectively.

• Continuously improve planning and process flow by defining and tracking important metrics.

• Research and apply AI tools to streamline andoptimizeworkflow, ensuring our processesremainbrand new and innovative.

• Guide the improvement of the simulation platform and expand other resources to support future GPU architectures.

• Participate in hands-on programming to improve or develop tests, resolve bugs in models, and build scripts for regressions and report generation.

What we need to see:

• Bachelor’s degree (or equivalent experience) in Computer Science, Electrical Engineering, Computer Engineering, or a related field.

• 8+ years of relevant work experience, or an MS with 5+ years of experience, or a PhD with 2+ years of experience.

• Proven experience working in an architecture validation or full chip verification environment.

• Strong problem-solving and debugging skills, witha track recordof driving issues to closure.

• Proficient programming skills in C++, C, and scripting languages such as Pythonor Perl.Goprogrammingproficiencya plus.

• Solid background in Computer Architecture with experience in modeling (System C & TLM preferred).

• Good understanding of build systems (CMAKE, make), toolchains (GCC, MSVC), and libraries (STL, BOOST), as well as familiarity with CI systems (Docker, Jenkins).

• Effective communication and interpersonal skills, with the ability to work successfully in a distributed team environment.