Senior Silicon Circuit Co-Design Engineer

NVIDIA; United States; On-site; USD 180,000 - 320,000; Full time

Job summary

NVIDIA is seeking an experienced engineer to co-design and validate safety, security, reliability, and performance features across analog, digital, and mixed-signal circuits. You will bridge design intent and silicon reality from first power-on through sign-off, driving critical decisions with your data.

You will build methodologies, identify model divergences, and lead automated testing and data pipelines that accelerate coverage without sacrificing rigor.

Qualifications

• BS or MS in Electrical Engineering, Computer Engineering, or equivalent experience.
• 8+ years of hands-on silicon bring-up, frequency and power characterization, or post-silicon validation.
• Strong circuit fundamentals across analog, digital, and mixed-signal.
• Hands-on lab depth with oscilloscopes, multimeters, DAQs, spectrum analyzers.
• Depth in product binning, PVT analysis, guard-banding; statistical fluency.
• Scripting in Python, C/C++ or equivalent.

Responsibilities

• Own the co-design, bring-up, and post-silicon validation of the analog, digital, and mixed-signal circuits that underpin NVIDIA's safety, security, reliability, and performance enhancement features - across the full PVT space, from first power-on through production sign-off.
• Close the simulation-to-silicon gap by building methodologies that correlate measured circuit behavior against pre-silicon predictions and producing actionable analysis.
• Trace failures to their source and drive the resolution to confirmation, handling margins, power integrity, and system-level coupling.
• Own and build AI agents for automated test orchestration, intelligent data pipelines, and analysis flows that expand coverage and reduce cycle time.
• Build automation and analysis infrastructure to enable efficient multi-product execution with depth and coverage.
• Lead and mentor junior engineers and interns, raising the technical floor of the team.

Skills

Python scripting

C/C++ programming

Circuit fundamentals

Post-silicon validation

Data analysis

Education

Electrical/Computer Engineering degree

Tools

Oscilloscopes

Multimeters

DAQs

Spectrum analyzers

Silicon debug tools

Job description

NVIDIA's chips define the ceiling of what silicon can do. But raw performance is only part of the story. The circuits that make a product trustworthy - the ones that enforce security boundaries, catch failures before they propagate, extend silicon lifetime under the hardest workloads, and unlock the last margin of performance safely - these are the circuits that determine whether a product ships or stalls, earns trust or loses it. This role co-designs them. The Silicon Co‑Design Group owns the boundary between design intent and silicon reality. When a product ships at frequency, at quality, and with the reliability the world's AI infrastructure demands, this team is a reason why.

You will be the engineer who knows what these circuits are actually doing. Safety, security, reliability, and performance enhancement features are not decorative. They sit on the critical path of every product decision - binning, guard‑banding, sign‑off, field quality. When one of them doesn't behave the way the model predicted, the consequences reach further than a single block. You find out why. You close the gap between design intent and silicon reality, and your data is what architecture, circuit design, and product teams act on. The engineers who do this well don't just measure circuits - they understand them deeply enough to know what a deviation means before anyone else does. They think like circuit designers, work like experimentalists, and reason like data scientists. If that describes you, read on.

What you'll be doing:

• Own the co-design, bring‑up, and post‑silicon validation of the analog, digital, and mixed‑signal circuits that underpin NVIDIA's safety, security, reliability, and performance enhancement features - across the full PVT space, from first power‑on through production sign‑off.
• Close the simulation‑to‑silicon gap. Build methodologies that correlate measured circuit behavior against pre‑silicon predictions, quantify where the model diverges from reality, and produce analysis that design and architecture teams can act on with confidence.
• Trace failures to their source - a circuit marginality, a power integrity interaction, a process corner the model didn't anticipate, or a system‑level coupling - and drive the resolution all the way through to confirmation.
• Own and build AI agents that work at your direction: automated test orchestration, intelligent data pipelines, and analysis flows that expand coverage and compress cycle time without sacrificing rigor. Know where AI accelerates real work and where it introduces risk.
• Build the tools your work depends on. Design and own automation and analysis infrastructure that lets you execute efficiently across multiple products simultaneously without sacrificing depth or coverage.
• Sit at the decision table. Your data drives binning strategy, guard‑band decisions, reliability sign‑off, and design improvements for future programs. When the data is ambiguous, your analysis is what resolves it.
• Lead and mentor junior engineers and interns. Raise the technical floor of the team around you.

What we need to see:

• 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