NVIDIA
Test Methodology Engineer
$100K–$207K
US, CA, Santa Clara · Full-time · Posted Aug 28, 2026
- Experience
- 3+ years of relevant work experience in the semiconductor industry.
- Education
- Bachelor’s degree or higher in Electrical Engineering/Computer Engineering (or equivalent experience).
About the job
Develop and support ATE test solutions that transfer NVIDIA GPU and AI server products from design engineering into mass production, improving test coverage, yield, capacity, and cost.
What you'll do
- Define, develop, implement, debug, and support ATE test programs and test methods for next-generation GPUs and AI server products.
- Develop and debug scripting and automation tools.
- Work with cross-functional engineering and manufacturing teams to debug product failures and implement solutions.
What they ask for
- Bachelor’s degree or higher in Electrical Engineering or Computer Engineering, or equivalent experience.
- Knowledge of silicon verification, testing, and manufacturing.
- Knowledge of the Advantest 93K ATE platform.
- Experience with Linux and programming languages such as C/C++/Java and/or Perl/Python.
Nice to have
- Experience with SRAM testing and familiarity with 2.5D or MCM assembly.
- Knowledge of system-level testing/validation; AI use in ATE testing is also a plus.
Pay
100,000 USD - 166,750 USD base salary for Level 2; 132,000 USD - 207,000 USD base salary for Level 3
Tools
Advantest 93K ATE, Linux, C/C++/Java, Perl/Python, SCAN, ATPG, MBIST, IOBIST
AI focus
Develop and support ATE testing for AI server products; utilizing AI in ATE testing is a plus. NVIDIA also uses AI tools in its recruiting processes.
Model-written summary · the original posting is authoritative