Product Development Engineer

Nvidia

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Employment: Full-time
Posted: 148 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Similar $182k

$128k $234k

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Product Development Engineer

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As a Product Development Engineer within the Operations Product Development Engineering GPU Team, you will help productize chips for consumer, professional, and datacenter markets. Your primary responsibilities include leading failure analysis of ATE-related escapes, identifying systematic discrepancies between ATE, SLT, and BLT results, and defining guard bands and test methodologies to reduce downstream fallout. You will partner with cross-functional teams to identify DFX and ATE coverage gaps while influencing chip-level hooks and observability features. You will also build AI and data-analytics-driven workflows to identify yield limiters and customer-quality risks. Required skills include a BS in electrical engineering, experience with Verigy 93K testers, and proficiency in Python, C, C++, and JMP for statistical modeling. You must possess strong communication, interpersonal, and data engineering skills.

Skills

Python C C++ JMP ATE SLT BLT Failure Analysis Data Engineering Statistical Modeling DFx AI Platforms Verigy 93K Product Verification

What you'll do

Lead failure analysis of ATE-related escapes to determine root causes and drive corrective actions.
Identify systematic discrepancies between ATE, SLT, and BLT results to define guard bands and test methodologies.
Partner with cross-functional teams to identify DFX and ATE coverage gaps and influence chip-level hooks.
Drive cross-functional forums to track end-to-end manufacturing fallout with clear ownership and measurable reduction targets.
Build AI and data-analytics-driven workflows to identify yield limiters and early indicators of customer-quality risk.
Improve system and board level yields by enhancing ATE structural test coverage.

What we're looking for

BS degree in electrical engineering or equivalent experience.
8+ years of work experience.
Experience with product verification and failure analysis on Verigy 93K tester.
Proficiency in Python, C, or C++ and statistical modeling using JMP software or other data analysis tools.
Solid communication, presentation, and interpersonal skills with a track record of collaboration.
Direct working experience on using AI platforms for data analytics (preferred).
Direct working experience on improving system and board level yields by enhancing ATE structural test coverage (preferred).
A 'got-getter, can get it done' attitude and independent ‘out-of-box’ thinking (preferred).

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