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Senior Product Quality Engineer, Chip - Automotive

NVIDIA· Engineer, QA
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Santa Clara, CA$148k - $235.8kfull-timePosted 1mo ago

About the role

Senior Product Quality Engineer for automotive chip products, focusing on quality across NPI to production and customer complaint resolution within NVIDIA's Quality and Reliability Group.

Responsibilities

  • Quality representative to the automotive NPI teams, supporting activities for customer and internal quality requirements.
  • Co-ordinate with multi-functional teams, aligning and maintaining the plan, methodologies, and requirements for chip failure analysis solution.
  • Champion customer quality issue root cause debug efforts by leading cross-functional teams using the 8D process. Lead failure analysis activities including data analysis, chip-level ATE, System level test (SLT) and Si FA tasks.
  • Assist in generating 8D failure analysis reports and verify/characterize corrective/preventive actions’ effectiveness.
  • Create and review failure trends based on customer failure information and recommend necessary actions for continuous improvement with cross-functional teams.
  • Work with customer facing teams to understand quality and reliability expectations and requirements. Report Automotive Quality Metrics
  • Share lessons-learn from previous field quality issues; give early input via DFMEA to ensure known quality, reliability, production issues are identified, and risks are mitigated.
  • Quality representative for internal CRB and MRB meetings to ensure product quality meets NVIDIA standards and risk is understood/mitigated.

Qualifications

  • 8+ years of hands-on experience in Product/Test/Application/Quality Engineering
  • BS Degree or MS Degree in Electrical or Computer Engineering (or equivalent experience).
  • Experienced in chip level failure analysis and debug.
  • Expertise in using Advantest V93000 Tester and Experienced in test equipment bring up
  • Familiar with system level test
  • Exposure to digital design, circuit analysis, schematic review, statistical analysis, firmware, drivers, and diagnostic software applications.
  • Comfortable with the use of lab tools (oscilloscopes, multimeters, curve trace etc)
  • Outstanding problem-solving, collaborative, and interpersonal skills.
  • Excellent verbal and written communication skills

Skills

Required:Quality engineeringChip failure analysis8D problem solvingData analysis

Benefits

  • Equity
  • Benefits package (details linked)
  • Competitive salaries
Last updated Sep 4, 2026. Interested? Apply on the company site.

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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