NVIDIA
AI, Graphics, Silicon
SeniorPerformanceandManufacturabilityArchitect
“Senior Performance and Manufacturability Architect at NVIDIA. Skills: System architecture, Silicon performance, Manufacturing co-design, Performance optimization, Power efficiency, Thermal efficiency, Testability, Yield optimization, AI application in engineering. Architect system and silicon features to enhance performance, power efficiency, and thermal behavior. Drive improvements in V/F curves, Vmin, TGP, speed grading, and thermal envelopes through co-design”
What You'll Achieve.
Optimize power, performance, thermal efficiency, and manufacturability across GPUs and SoCs; Minimize inefficiencies and cost; Accelerate engineering work using AI tools; Improve real product performance through system–manufacturing co‑optimization; Increase engineering velocity without lowering the technical bar
Industry & Context.
Address sophisticated challenges; Reason across circuit behavior, system constraints, and manufacturing realities; Untangle performance problems; Drive complex trade-offs to closure; Operate independently on hard, ambiguous problems
What They're Looking For.
Must Have
Master's degree (or equivalent experience) in Electrical Engineering, Computer Engineering, Computer Science, Systems Engineering, or related field, 8+ years of experience in system architecture, silicon performance, manufacturing co‑design, or post‑silicon validation, Deep understanding of DVFS, binning, power/thermal management, and performance trade‑offs in advanced GPUs or SoCs, Ability to reason across circuit behavior, system constraints, and manufacturing realities, Comfort with hands‑on lab work as well as abstract architectural reasoning, scripting and analysis skills (e. g. , Python, Perl) for automation, modeling, and data‑driven decision making, Clear technical communication and the ability to document and defend engineering decisions
Nice to Have
Proven record of improving real product performance through system–manufacturing co‑optimization, Evidence of fast abstraction, pattern recognition, and deep systems thinking, Proof of work: architectures you’ve designed, performance problems you’ve untangled, or complex trade‑offs you’ve driven to closure, Ability to operate independently on hard, ambiguous problems—and collaborate clearly across functions, Thoughtful use of AI to increase engineering velocity without lowering the technical bar
What You'll Do.
Architect system and silicon features to enhance performance
Drive improvements in V/F curves
and thermal envelopes through co-design
and package-aware features that enhance testability
Define manufacturing-aware methodologies linking test
and package constraints to product performance
Co-design test strategies and screening methods to reduce overkill
Operate across the full lifecycle—from system architecture and pre-silicon strategy to post-silicon success
Translate ambiguous product requirements into executable architectures and validation plans
Leverage AI tools to accelerate engineering work while applying judgment on when to trust
How You'll Work.
Team & Collaboration
Collaborate clearly across functions
Communication Scope
Clear technical communication; Document and defend engineering decisions
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