Principal Performance and Manufacturing Architect

Nvidia

Confirmed live today High trust

Quick summary

Work type: Remote
Location: Remote
Salary: $232,000–$368,000 / yr
Employment: Full-time
Posted: 11 days ago
Freshness: Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $225k

This role $300k

$142k most similar roles pay here $392k

This role pays more than 92% of similar roles. Most pay $192,877–$256,950 — the shaded band above. At the midpoint, this role pays about $300k versus about $225k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1391 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1116 roles with salary data.

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At a glance

TL;DR · Principal Performance and Manufacturing Architect

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The Principal Performance and Manufacturing Architect joins the Silicon Co-Design Group to bridge the gap between design intent and manufacturing reality. This role involves building first-principles models that connect physical phenomena like AVF, defect mechanisms, and DVFS transients to system-level yield and field reliability metrics. The architect will define specifications for ATE and SLT voltage, frequency, and timing conditions while authoring methodology documents to align build, product definition, reliability, and test engineering teams. Key responsibilities include designing silicon validation experiments, establishing statistical acceptance criteria, and ensuring every margin term in the V/F curve is defensible. The ideal candidate possesses a BSEE, MSEE, or PhD with over 15 years of experience. They must demonstrate expertise in transient VF behavior, manufacturing test specifications, and the application of AI for production engineering workflows like model fitting and anomaly detection.

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