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Senior DFX Engineer, Volume Diagnosis - VLSI

NVIDIA

Taiwan, Taipei +1 more · On-site · relocationSalary not disclosedfull-timeNVIDIA Careers (offices abroad)

NVIDIA has been redefining computer graphics, gaming, and accelerated computing through a long history of innovation driven by outstanding technology and talent. As AI reshapes the future of computing, our GPUs are enabling intelligent systems across data center, robotics, automotive, and beyond.

Responsibilities

  • Implement volume diagnosis using industry-standard diagnostic solutions to process fail logs, localize defects, and generate actionable analysis results.
  • Drive yield improvement through data-driven debug, systematic defect Pareto analysis, and rapid feedback loops that convert diagnosis results into corrective actions for manufacturing and product teams.
  • Partner with multi-functional teams worldwide across DFX, test engineering, operations, foundry, and failure-analysis participants to accelerate root-cause isolation and production issue resolution.
  • Analyze production test and diagnosis data to discover yield limiters and improve test efficiency, silicon quality, and manufacturability.
  • What we need to see
  • Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related field, or equivalent experience.
  • 5+ years of experience in DFT, DFX, product engineering, silicon debug, yield engineering, or a closely related semiconductor field.
  • Strong understanding of volume diagnosis, systematic defect analysis, and yield improvement in volume manufacturing.
  • Hands-on experience with commercial diagnosis tools and production diagnosis flows, including fail-log processing, root-cause analysis, and using silicon data to improve yield, quality, and test efficiency.
  • Collaboration and interpersonal skills for working across global engineering, operations, and manufacturing teams.

Languages

    Work format
    On-site
    Seniority
    Senior
    Posted
    3 Sept 2026
    Last verified
    In the last 5 days

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