Ate Test Development Engineer

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA

NVIDIA is seeking an ATE Test Development Engineer to define, develop, implement, and support ATE test programs for GPU, Tegra, and Automotive products. The role involves working with manufacturing teams to increase yields, test coverage, and capacity, while reducing production costs. Responsibilities include test program development, debugging failures, and writing scripts/tools to enhance productivity. Requires a Bachelor's degree in EE/CE or equivalent, 2+ years of VLSI ATE testing experience, and working knowledge of Advantest 93K ATE platform.

What you'd actually do

  1. Define, develop, implement, and support ATE test program bringup, characterization and production for our latest GPU/Tegra/Automotive products.
  2. ATE test program development includes constructing or enhancing test methods, debug and integration of timings/levels/patterns/TM and test flow into a test program.
  3. Own test methodologies and strive for continuous improvement of production testprograms quality/efficiency.
  4. Demonstrate good understanding of LB schematics and design to aid debug.
  5. Actively participate with cross functional teams including Product Development Engineering, DFT, and IC design to efficiently debug product failures and implement optimal solutions.
  6. Write and maintain scripts/tools for the test engineering group, enhance the group’s overall productivity and effectiveness

Skills

Required

  • Bachelor Degree or higher in Electrical Engineering/Computer Engineering (or equivalent experience)
  • 2+ years of relevant experience in IC Design, application or ATE testing of VLSI
  • Working knowledge and hands-on experience with Advantest 93K ATE platform (SmarTest 8)
  • Critical thinking
  • good communication
  • collaboration skills
  • Excellent debugging
  • analytical skills
  • Understanding of DFT insertion techniques including SCAN, ATPG, MBIST and IOBIST

Nice to have

  • Knowledge of active thermal management
  • Product engineering experience, such as yield analysis, vmin/fmax characterization, defect analysis
  • Teradyne UFlex experience
  • Experience with AI-assisted workflow using Cursor, Claude and ChatGPT to enhance efficiency of everyday work

What the JD emphasized

  • Working knowledge and hands-on experience with Advantest 93K ATE platform (SmarTest 8) is essential
  • Critical thinking
  • good communication
  • collaboration skills
  • Excellent debugging
  • analytical skills