Lead Engineer - Design to Silicon Correlation

Reposted 2 Days Ago
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Santa Clara, CA
In-Office
196K-368K
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead Engineer will drive correlation strategies between design and silicon, improving efficiency in power modeling and collaborating with cross-functional teams to optimize productization.
Summary Generated by Built In

NVIDIA is the industry leader in high performance computing, gaming and AI. Our GPUs and SOCs give outstanding performance and efficiency, revolutionizing myriad fields like cell research, robotics, crypto mining and so many more. We revolutionized the AI world by inventing CUDA. And we are just getting started. Silicon Solutions Group (SSG) is a multifaceted, multi-functional team at NVIDIA. We sit at the crossroads of design, architecture, marketing, and productization. Our involvement begins at the arch stage and extends to defining final products. We architect and deliver innovative solutions for various markets like Gaming, Datacenters, Servers, Automotive, and Embedded. We are fast-paced, dynamic, share a sense of humor, and collaborate extensively to push the boundaries of what is possible. We do all of this with an eye on making ground-breaking impacts in the markets we serve. If this sounds like something you want to do, read on.

SSG seeks a Lead Engineer to turbocharge the Design to Silicon Correlation charter. In this role, you will drive correlation strategies and roadmap in areas of Speed and Power between design and silicon. You will collaborate with state-of-the-art timing closure teams and translate metrics to silicon. You will define the correlation of critical metrics and strategies to achieve the same. If these are not completed you own cross-functional debugging to suggest future design fixes.

What you'll be doing:

  • Create roadmap for Design to silicon correlation. Define metrics, plans and ownership across multiple teams at NVIDIA.

  • Understand timing closure strategies and translate to silicon. Define testplan on silicon to measure relevant parameters

  • Under power extraction in design and translate to silicon. Improve efficiency in post-silicon activities with power modeling and correlation.

  • Provide guidance to silicon facing teams on how to take the feature to productization, including hands-on bringup for feature validation.

  • Collate takeaways from silicon and correlate to design. Provide feedback to improve the feature in future, thus being responsible for the feature roadmap for all NVIDIA products.

  • Collaborating with the best minds in NVIDIA across various teams (System Architecture, PDE, Application Engineering, Product Manager, Sales, Operations) in a dynamic, creative work environment to bring industry-defining products to market.

What we need to see:

  • MS in EE, CE, Systems Engineering or equivalent experience.

  • 12+ years of experience in a related hardware engineering position. Exposure to timing closure and silicon required.

  • Previous engineering experience in architecting Perf/Power/Speed/Reliability features in CPUs/GPUs/SOCs. Experience spanning from concept all the way to product desirable.

  • Familiarity with circuit design, noise characterization, product binning methods, and/or performance/power optimization techniques.

Ways to stand out from the crowd:

  • Background with statistical methods and tools for data analysis

  • Familiarity with substrate and power supply noise analysis and mitigation

  • A "go-getter, can get it done" attitude and independent 'out-of-box' thinking.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. If you're creative and ambitious, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 196,000 USD - 310,500 USD for Level 5, and 232,000 USD - 368,000 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 26, 2025.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

Ce
Cuda
Ee
Systems Engineering
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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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