Drimva

NVIDIA

Senior Silicon Product Engineer – Manufacturing

$168K–$310K

US, CA, Santa Clara · Senior · Full-time · Posted Oct 16, 2026

Experience
8+ years of relevant proven experience in silicon post-silicon PVT validation and/or high-volume manufacturing testing.
Education
Bachelor’s or Master’s Degree or equivalent in Microelectronics/Electrical/Electronic/Computer Engineering, or equivalent experience.

About the job

Co-designs and implements system-level test (SLT) diagnostics and production testing for complex silicon products, supporting validation, manufacturing release, yield, quality, and high-volume production.

What you'll do

  • Define and improve SLT test coverage, content, conditions, and flows with hardware, software, platform, and production teams.
  • Bring up and debug silicon in the lab; correlate production testing with silicon characterization and diagnostics.
  • Improve manufacturing test effectiveness through data analysis, root-cause investigation, coverage and test-time optimization, and customer escalation support.

What they ask for

  • Bachelor’s or Master’s Degree or equivalent in Microelectronics/Electrical/Electronic/Computer Engineering, or equivalent experience.
  • 8+ years of relevant experience in silicon post-silicon PVT validation and/or high-volume manufacturing testing for sophisticated SoCs, GPUs, CPUs, or similar.
  • Hands-on lab experience with silicon bring-up, lab debug, test-content bring-up, and correlation to silicon characterization, yield, and coverage optimization.
  • Experience with Python, BASH, Linux, and scripting.

Nice to have

  • Prior experience working with volume data.
  • Battle-tested experience with GPUs, CPUs, AI accelerators, or other large-scale SoCs; or co-designed or led production methodologies adopted by other teams in HVM.

Pay

168,000 USD - 264,500 USD base salary (Level 4); 196,000 USD - 310,500 USD base salary (Level 5)

Tools

Python, BASH, Linux, SLT, BLT

AI focus

Uses AI deliberately to drive impact while managing risk; native use of AI tools to accelerate production testing and debug workflows is a preferred qualification.

Model-written summary · the original posting is authoritative

First seen Oct 17, 2026 · Last verified Nov 5, 2026 (UTC)