Drimva

NVIDIA

Principal Solutions Architect – Semiconductor Test

$216K–$345K

US, CA, Santa Clara · Principal · Full-time · Posted Oct 30, 2026

Experience
15+ years; no alternatives stated.
Education
MSEE, MSCE, MSCS, or related field (or equivalent experience).

About the job

Defines and leads semiconductor test architecture and strategy across wafer probe, package, final, and qualification testing, improving testability, yield, and manufacturing scale.

What you'll do

  • Set test development strategy and architectural trade-offs across the full test flow; establish guidelines for test programs and ATE platform reuse.
  • Partner with engineering and manufacturing teams on DFT architecture and product testability; lead roadmaps and mentor senior engineers.
  • Drive AI/ML adoption for yield learning, outlier detection, predictive binning, and test-time optimization; engage with vendors and industry groups.

What they ask for

  • 15+ years of hands-on semiconductor test engineering experience in a fab, IDM, or OSAT environment.
  • Extensive knowledge in at least three areas: ATE platform architecture, test program development, DFT methodology, yield analysis, or test data/ML analytics.
  • Skilled in leading ATE platforms such as Advantest V93000, Teradyne UltraFLEX/ETS, or similar; strong DFT architecture background.
  • Proficiency in test-related scripting and automation (Python, Perl, C++, or platform-native languages); ability to lead multi-site, cross-functional initiatives.

Nice to have

  • Experience applying ML/AI to yield analysis, PAT/GDBN outlier screening, or adaptive test; knowledge of STDF, ATDF, JMP, or Spotfire.
  • Experience with mixed-signal, RF, or high-speed I/O test; advanced packaging, industry standards, or ATE vendor co-development exposure.

Pay

216,000 USD – 345,000 USD base salary

Tools

Advantest V93000, Teradyne UltraFLEX/ETS, Python, Perl, C++, STDF, ATDF, JMP

AI focus

Drive AI/ML techniques for yield learning, outlier detection, predictive binning, and test-time optimization; ML/AI experience in yield analysis, outlier screening, or adaptive test is preferred.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)