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 requirements into executable architectures and validation plans.
Leverage AI tools to accelerate engineering work while applying strong judgment on when to trust, verify, or override outputs.
What we need to see
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.
Strong 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.
Ways to stand out from the crowd
Proven record of improving real product performance through system–manufacturing co‑optimization.
Evidence of fast abstraction, strong 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.
Our team is at the forefront of silicon innovation, advancing groundbreaking technologies. We offer a dynamic work environment where your contributions will directly impact the company's success. Join us to advance your career in a role where you can truly make a difference. With competitive salaries and a generous benefits package, we are widely considered one of the technology industry’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us, and due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
