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.
Principal Performance and Manufacturing Architect
🕒 May 27
🌵 Arizona, California, +2 more states – Remote
💵 $232k - $368k / year
⏰ Full Time
🔴 Lead
🏛️ Architect
🦅 H1B Visa Sponsor
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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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