Senior System-Manufacturing Co-Design Engineer

Reposted 21 Days Ago
Be an Early Applicant
Hiring Remotely in Santa Clara, CA, USA
In-Office or Remote
168K-311K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead system-manufacturing co-design to improve voltage/frequency/power/thermal envelopes of NVIDIA products. Architect chip/system features, define manufacturing test/binning/package methodologies for V/F curves, vmin, and TGP, and work across pre-silicon test strategies and hands-on lab prototyping to maximize performance and yield.
Summary Generated by Built In

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.

NVIDIA's Silicon Codesign Group (SCG) seeks a Senior System-Manufacturing Co-design Engineer to join our Arch team. We co-design system features and manufacturing flows to improve the voltage/frequency/power/thermal performance of our products. We find ways to ship a product with the highest TGP and Fmax, and the lowest Vmin possible, while minimizing overkill, miscorrelations, and test time.

What you will be doing:

  • Improving Voltage/Frequency/Power/Thermal Envelope of Nvidia Products

  • Architect new Chip/System features to improve testable power, V/F, speed grades, temp, or test time

  • Define the methodology for how manufacturing tests, SRAM, binning, or package technology constraints should be incorporated into product V/F curves, vmin, and TGP.

What we need to see:

  • Master’s degree (MS) or equivalent experience in Electrical Engineering (EE), Computer Engineering (CE), Computer Science (CS), Systems Engineering, or a related field

  • 8+ years of experience.

  • Deep knowledge of System and chip circuits to improve DVFS, Binning, or Power/thermal management features for advanced SOCs/GPUs

  • Comfortable in both the Pre-Silicon test strategy and hands-on lab prototyping of system features. Python/Perl Scripting,

Ways to stand out from the crowd:

  • Record of improving product performance through co-optimization with manufacturing

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.

Applications for this job will be accepted at least until March 9, 2026.

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

Binning
Dvfs
Gpu
Lab Prototyping
Perl
Power Management
Pre-Silicon
Python
Soc
Sram
Thermal Management
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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.”

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