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Supplier Quality Engineer

NVIDIA· Engineer, QA
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Santa Clara, CA$148k - $235.8kFull-timePosted 3mo ago

About the role

Experienced Supplier Quality Engineer (SQE) to lead memory product quality initiatives, collaborate with memory suppliers, monitor quality performance, and drive continuous improvement across cross-functional teams.

Responsibilities

  • Take charge of comprehensive memory quality initiatives proactively to meet and exceed NVIDIA's quality standards.
  • Cultivate strong supplier relationships to collaborate and align on strategic quality initiatives.
  • Act as the primary liaison between memory suppliers and internal cross-functional teams to resolve quality excursions.
  • Manage memory failure analysis (FA) by driving root cause determination, corrective/preventive actions, and continuous improvements.
  • Leverage data analytics to monitor memory quality trends and proactively mitigate potential risks.
  • Lead all aspects of product change notifications (PCNs) to assess risks associated with modifications and quality excursions.
  • Conduct on-site supplier quality audits to evaluate, verify, and ensure best manufacturing practices.

Qualifications

  • MS or BS in engineering or equivalent experience with 8+ years of technical experience in the memory industry.
  • DRAM technical expertise with professional knowledge of DRAM operations and the ability to interpret key AC/DC datasheet parameters.
  • Strong background in memory quality and reliability, memory design, memory testing.
  • Comprehensive knowledge of foundational memory quality systems, reliability concepts, and failure theories.
  • Familiarity with physical FA techniques, including C-SAM, SEM, TEM, FTIR, ASE, and Hot Spot Analysis.
  • Memory quality management experience to apply problem-solving tools including 8D methodology and Statistical Process Control (SPC).
  • Hands-on experience with data analytic tools to interpret data trends using Excel, Minitab, JMP, or Tableau.
  • Direct experience to manage memory quality specifications tailored for Automotive and Data Center environments.
  • Highly dedicated professional capable of performing complex tasks with minimal supervision.
  • Exceptional written and verbal English communication skills.

Skills

Required:Memory quality management8D problem solvingStatistical Process Control (SPC)Data analysis toolsDRAM technologyFA techniques

Benefits

  • equity
  • benefits (see company benefits page)
Last updated Jul 24, 2026. Interested? Apply on the company site.

About NVIDIA

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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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