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Post-Silicon Validation and Methodology Engineer
NVIDIA
US, CA, Santa Clara · On-site · relocation$11,333–18,208 gross/mofull-timeNVIDIA Careers (offices abroad)
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.
Responsibilities
- 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. This tooling reduces the time from observation to root-cause hypothesis. The team runs these tools during every…
- Build the test infrastructure, characterization methodologies, and bring-up playbooks that shift post-silicon coverage left and raise velocity across programs.
- Lead root-cause analysis on the hardest HW/SW interaction issues — with the measurement field, instrumentation judgment, and hypothesis rigor to close them under schedule pressure.
- Identify where current processes break and redesign them: bring-up sequencing, debug forums, regression frameworks, and the lab metrics that tell us whether we are actually improving.
- Build concrete examples of redesigning how a team debugs in the lab — faster triage, smarter hypothesis trees, automated measurement reporting — and the resulting increase in bring-up velocity or quality.
Languages
- Work format
- On-site
- Seniority
- Mid
- Posted
- 13 Oct 2026
- Last verified
- In the last 5 days
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