Principal Performance and Manufacturing Architect

Brief Overview

NVIDIA is seeking a Principal Performance and Manufacturing Architect to join their Silicon Co-Design Group. This role requires deep expertise in physics, modeling, and manufacturing, with a focus on ensuring high-quality product outcomes.

About the Role

The ideal candidate will own the connection between design intent and manufacturing reality, setting methodologies and proving them through silicon. They will improve how the organization ships products after every program and use AI deliberately to optimize workflows.

Responsibilities

• Own the physics, from mechanism to margin, by building first-principles models connecting AVF, defect mechanisms, and DVFS transients to field FIT, system-level yield, and DPPM vs. coverage.
• Specify ATE and SLT voltage, frequency, and timing conditions that capture worst-case transient VF windows, making it unambiguous whether a marginal defect or timing violation is detected or escapes at every manufacturing stage.
• Author the methodology document for each program and drive alignment across build, product definition, reliability, and test engineering, so every team is making decisions from the same model.
• Own the per-release validation plan, including split-screen experiments, sample sizes, statistical acceptance criteria, and production monitoring, through QS sign-off.

Requirements

• BSEE / MSEE / PhD or equivalent experience, with 15+ years in the field.
• Deep, hands-on understanding of how transient VF behavior develops worst-case stress conditions for marginal defects and timing violations.
• Demonstrated experience building first-principles models connecting physical parameters to manufacturing outcomes, calibrated through real silicon.
• Clear track record defining manufacturing test specifications on a shipped product, with each margin term explicitly sourced and owned.
• Built and ran silicon validation experiments that proved models from NPI through production, not as a supporting contributor, but as the person who developed and was responsible for the experiments.

Qualifications

• Applied AI to production engineering workflows, such as model fitting, anomaly detection, and specification generation, and described the outcomes and guardrails put in place.
• Worked across the VF specification and manufacturing boundary on multiple nodes and articulated how your approach evolved as defect populations shifted.
• Led multi-functional alignment on a methodology disagreement and brought the organization to a defensible, shared decision.
• Delivered innovative solutions on programs where the schedule did not allow a second experiment.

Benefits

Base salary range: $232,000 - $368,000. Eligible for equity and benefits.

Pay

Base salary will be determined based on location, experience, and the pay of employees in similar positions.

Schedule

Applications for this job will be accepted at least until June 29, 2026.

Contact Information

NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer. For more information, please visit NVIDIA's careers page.