Post-Silicon Validation and Methodology Engineer

Join NVIDIA, a trailblazer at the forefront of graphics and artificial intelligence performance, efficiency, and innovation. From our roots as a groundbreaking graphic company, we have evolved into a global leader in artificial intelligence, continuously pushing the boundaries to tackle complex challenges across diverse industries. The problems that break late in a silicon program almost always break here first — at the boundary where architecture, design, firmware, and silicon meet reality in the lab. NVIDIA's Silicon Co-Design Group has an end-to-end view that almost no team anywhere can claim: from early architecture through bring-up to product release, across GPU, SoC, and CPU programs spanning Datacenter, Gaming, Robotics, Automotive, and Embedded. We are looking for a hardware engineer who builds the methods, test infrastructure, and coverage strategies that find issues before software is production-ready — and who rewires the team's workflow when the old approach isn't fast enough. What you will be doing: Own bring-up, validation, qualification, tuning, and productization plans for next-generation silicon — from first power-on through PVT sign-off. Partner across architecture, build, firmware, and software teams to define requirements for power management and clocking features, then drive coverage from pre-silicon through production. Build and deploy AI assisted lab workflows. These workflows automate bring-up telemetry and silicon measurement data evaluation. They provide anomaly detection on regression results and debug-triage tooling.