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Test Methodology Engineer

NVIDIA· Engineer, Test
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Santa Clara, CA$100k - $166.8kfull-timePosted 1mo ago

About the role

Engineer to transfer GPU gaming and compute products from design to mass production, develop ATE test programs, collaborate with cross-functional teams, and optimize test coverage and costs for NVIDIA GPUs and AI server products.

Responsibilities

  • Define, develop, implement, and support ATE test program solutions for the next generation of GPUs and AI server products.
  • ATE test method code development and debugging
  • Scripting and automation tools development and debugging
  • Actively participate in cross function team including Product Development Engineering, DFT, and IC design to efficiently debug any product failures and implement optimal solutions

Qualifications

  • Completion of bachelor's degree or higher in Electrical Engineering/Computer Engineering (or equivalent experience).
  • 3+ years of relevant work experience in the semiconductor industry.
  • Knowledge of silicon verification, testing and manufacturing
  • Have knowledge in Advantest 93K ATE platform is essential
  • Experienced with Linux, and programming languages such as C/C++/Java and/or Perl/Python
  • Good communication skills and works well in a group environment and with cross functional teams that spans across continents
  • Experience with SRAM testing and familiarity with 2.5D or MCM assembly
  • Understanding of DFT insertion techniques including SCAN, ATPG, MBIST and IOBIST
  • Knowledge of system level testing/validation is a plus
  • Utilizing the AI in ATE testing is a plus and make you standout.

Skills

Required:Electrical EngineeringSemiconductor industry experienceAdvantest 93K ATELinuxProgramming languages (C/C++/Java, Perl/Python)DFT techniques
Nice to have:SRAM testing2.5D/MCM assembly

Benefits

  • Equity
  • Benefits (see NVIDIA benefits)
Last updated Sep 4, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

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

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