NVIDIA
AI, Graphics, Silicon
SeniorPerformanceandManufacturabilityArchitect
Neural analysis suggests this role is
optimal for Senior candidates.
“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
Full Job Description
Join NVIDIA, a trailblazer at the forefront of graphics and artificial intelligence performance, efficiency, and innovation. From our roots as a groundbreaking graphics company, we have evolved into a global leader in artificial intelligence, continuously pushing the boundaries to address sophisticated challenges across diverse industries. The Silicon Codesign Group (SCG) sits at the intersection of architecture, silicon, systems, and manufacturing—where deep engineering judgment drives real-world product performance at scale. SCG is evolving for an AI-enabled engineering environment, prioritizing how engineers think, reason, and complete tasks alongside advanced tools—not just narrow specialization. The SCG Architecture team is hiring a Senior System–Manufacturing Co-Design Engineer to design systems and silicon features that optimize power, performance, thermal efficiency, and manufacturability across GPUs and SoCs. This role bridges architecture and manufacturing, translating product intent into scalable, testable performance while minimizing inefficiencies and cost. Success in this role requires strong systems thinking and becoming comfortable with ambiguity. It also requires the ability to apply AI as a force multiplier while maintaining rigorous engineering judgment. **What you’ll be doing:** * 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. * Design chip, system, and package-aware features that enhance testability, coverage, and yield. * Define manufacturing-aware methodologies linking test, SRAM behavior, binning, and package constraints to product performance. * Co-design test strategies and screening methods to reduce overkill, test time, and miscorrelation. * Operate across the full lifecycle—from system architecture and pre-silicon strategy to post-silicon success. * Translate ambiguous product requi
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