• Lead failure analysis of ATE-related escapes – specifically failures seen at system-level and customer RMAs. Determine root cause and drive corrective actions back into wafer sort and package test.
• Identify systematic discrepancies between ATE, SLT and BLT results; define guard bands, screens, correlation metrics, and test methodology changes to reduce downstream fallout.
• Partner with Design, DFX, Test Engineering, Hardware, PQE, and SQE teams to identify DFx and ATE coverage gaps, then influence chip-level hooks, test modes, monitors, and observability features that improve testability and outgoing quality.
• Drive cross-functional forums to track end-to-end fallout across NVIDIA manufacturing, with clear ownership, closure criteria, and measurable reduction targets.
• Define and build AI / data-analytics-driven workflows to identify yield limiters, fallout signatures, systematic escapes, and early indicators of customer-quality risk.

• BS degree in electrical engineering or equivalent experience.
• 8+ years of work experience.
• Experience with product verification and failure analysis on Verigy 93K tester.
• Strong data engineering skillset, with proficiency in Python, C or C++, and statistical modeling of data using JMP software or other tools for data analysis
• Solid communication and presentation skills.
• Solid interpersonal skills and track record as a strong collaborator.
• Dedicated and able to work with minimum supervision.

• Direct working experience on using AI platforms for data analytics (Claude, cursor, lovable etc..)
• Direct working experience on improving system and board level yields by enhancing ATE structural test coverage.
• A 'got-getter, can get it done' attitude and independent ‘out-of-box’ thinking’.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD.

Applications for this job will be accepted at least until June 5, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.