Drimva

NVIDIA

Senior Silicon Circuit Co-Design Engineer

$168K–$264K

US, CA, Santa Clara · Senior · Full-time · Posted Sep 23, 2026

Experience
8+ years; alternatives are hands-on silicon bring-up, frequency and power characterization, or post-silicon validation on real hardware.
Education
BS or MS in Electrical Engineering, Computer Engineering, or equivalent experience in the lab.

About the job

Co-designs and validates silicon circuits for safety, security, reliability, and performance, using post-silicon data to guide product decisions and resolve failures.

What you'll do

  • Own circuit co-design, bring-up, and post-silicon validation across PVT through production sign-off; correlate measurements with pre-silicon predictions and investigate failures.
  • Build AI agents, automation, and analysis tools for test orchestration, data pipelines, and circuit analysis.
  • Use characterization data to inform binning, guard-banding, reliability sign-off, and design improvements; lead and mentor engineers.

What they ask for

  • BS or MS in Electrical Engineering, Computer Engineering, or equivalent experience in the lab.
  • 8+ years of hands-on silicon bring-up, frequency and power characterization, or post-silicon validation on real hardware.
  • Strong analog, digital, and mixed-signal circuit fundamentals, hands-on lab skills, and tester-to-system correlation experience.
  • Depth in binning, PVT analysis, guard-banding, and optimization trade-offs; scripting proficiency in Python, C/C++, or equivalent.

Nice to have

  • Built co-design or correlation methodologies adopted by other teams, or traced silicon anomalies through resolution.
  • Built or deployed AI-driven analysis or failure-triage flows; experience with datacenter-scale or high-performance silicon.

Pay

168,000 USD - 264,500 USD (base salary)

Tools

Python, C/C++, oscilloscopes, multimeters, DAQs, spectrum analyzers, silicon debug tools

AI focus

Own and build AI agents for automated test orchestration, intelligent data pipelines, and analysis flows; assess where AI helps and where it introduces risk. NVIDIA also uses AI tools in recruiting.

Model-written summary · the original posting is authoritative

First seen Oct 16, 2026 · Last verified Nov 5, 2026 (UTC)