- 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 circuit fundamentals – analog, digital, and mixed-signal — with the intuition to know what you're measuring and why it matters.
- Hands-on lab depth: oscilloscopes, multimeters, DAQs, spectrum analyzers, and silicon debug tools. Comfort with tester-to-system correlation.
- Depth in product binning, PVT analysis, guard-banding, and optimization trade-offs. Enough statistical fluency to know when a distribution is telling you something.
- Exposure to critical path analysis, power integrity, dI/dt and PDN analysis, transistor physics, and silicon reliability and aging mechanisms.
- Scripting proficiency in Python, C/C++, or equivalent. You build the infrastructure your characterization depends on.
Ways to stand out from the crowd
- You've built a co-design or correlation methodology precise enough that other teams adopted it.
- Traced a silicon anomaly – a noise issue, a margin failure, a feature that didn't hold across corners — to its root cause and driven the fix all the way through to closure.
- Built or deployed AI-driven flows for circuit analysis or failure triage, and can speak to both the outcome and the guardrails you put in place.
- Led or mentored engineers and made them measurably better at the craft.
- Experience on datacenter-scale or high-performance silicon, where complexity raises the cost of being wrong and the standard for rigor is correspondingly higher.
The circuits you co-design don't just enhance performance — they define whether the product is safe, secure, and reliable enough to ship. When they work, the product earns trust at scale. When they don't, everything downstream is at risk. If that is the kind of problem you want to own, we want to hear from you.
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 168,000 USD – 264,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.