Principal Performance and Manufacturing Architect

🕒 May 27

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Logo of NVIDIA

NVIDIA

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Own the physics, from mechanism to margin. • Build first-principles models connecting AVF, defect mechanisms, and DVFS transients to field FIT, system-level yield, and DPPM vs. coverage. • Set the screen that resolves escapes. • Specify ATE and SLT voltage, frequency, and timing conditions. • Make the POR the authoritative source. • Author the methodology document for each program.

🎯 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. • A clear track record defining manufacturing test specifications on a shipped product. • Built and ran silicon validation experiments that proved models from NPI through production.

🏖️ Benefits

• equity • benefits

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