NVIDIA
Technology
ProductDevelopmentEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Product Development Engineer at NVIDIA. Skills: Product development, Failure analysis, Data analytics. Lead failure analysis of ATE-related escapes. Determine root cause”
What You'll Achieve.
Reduce downstream fallout; Improve testability; Improve outgoing quality; Measurable reduction targets
Industry & Context.
Problem solvers; Root cause analysis
What They're Looking For.
Must Have
BS degree in electrical engineering, 8+ years of work experience, Experience with product verification, Experience with failure analysis, Experience on Verigy 93K tester, Data engineering skillset, Proficiency in Python, Proficiency in C, Proficiency in C++, Proficiency in statistical modeling, Proficiency using JMP software, Solid communication skills, Solid presentation skills, Solid interpersonal skills, Track record as collaborator
Nice to Have
Direct working experience on using AI platforms, Direct working experience on improving system yields, Direct working experience on improving board level yields, Enhancing ATE structural test coverage
What You'll Do.
Lead failure analysis of ATE-related escapes
Drive corrective actions
Identify systematic discrepancies
Define correlation metrics
Define test methodology changes
Partner with Design teams
Partner with DFX teams
Partner with Test Engineering teams
Partner with Hardware teams
Partner with PQE teams
Partner with SQE teams
Identify DFx coverage gaps
Identify ATE coverage gaps
Influence chip-level hooks
Influence observability features
Drive cross-functional forums
Track end-to-end fallout
Define AI-driven workflows
Build AI-driven workflows
Identify yield limiters
Identify fallout signatures
Identify systematic escapes
Identify early indicators
How You'll Work.
Team & Collaboration
Cross-functional forums; Design teams; DFX teams; Test Engineering teams; Hardware teams; PQE teams; SQE teams
Communication Scope
Presentation skills
Full Job Description
As one of the technology industry's most desirable employers, NVIDIA is an industry leader in high performance computing, gaming and AI. NVIDIA's GPUs are extraordinary in performance and efficiency, and we are continually innovating creative ways to deliver outstanding solutions in a wide range of sectors. We are seeking Product Development Engineers who are experienced, creative problem solvers in various areas and passionate to want to make a visible impact with the work they do. As part of the Operations Product Development Engineering GPU Team, you will work on productizing NVIDIA’s chips into consumer, professional and datacenter markets. **What you’ll be doing:** * 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. **What We Need To See:** * 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 * So
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