
Lead Speed and Reliability Engineer - DFP
Summary
NVIDIA's Silicon Solutions Group (SSG) is seeking a Lead Speed and Reliability Engineer for their Design for Productization (DFP) team. The role focuses on driving methodology and design for testing and deploying new hardware features related to speed, timing, and reliability across NVIDIA's full chip portfolio — from datacenter to consumer, automotive, and mobile.
About the role
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. 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. Design for Productization, DFP for short, is a group within SSG with a focus on SOL methodology, design, test plan, and tools to efficiently enable, test, and deploy new chip features. The group is multi-faceted, working across SSG and other partner teams, to enable efficient testing and deploy features at SOL quality and efficiency.
The DFP team is looking for a Speed and Reliability Lead. You will be leading and crafting testability features related to Speed, Timing, and Reliability from the ground up as you help turbocharge NVIDIA's chips into groundbreaking consumer, professional, server, mobile, and automotive solutions.
What you will be doing:
Driving methodology and design for NVIDIA testing and deploying new HW features. Crafting related tools and methods to ensure SOL, efficient testing meeting quality benchmarks. Scope spans from the datacenter to the chip level.
Creating productization processes and methodologies to guide SSG teams on templates to characterize, test, and release state-of-the-art products. Specify critical metrics to meet across the process and improve these based on findings.
Prototype and fine-tune these on pre-production silicon (including test chips) fabricated using innovative processes for speed, performance, power, yield, and quality.
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 the future, thus being responsible for the feature roadmap for all NVIDIA products.
Collaborating with the best minds in NVIDIA across various teams (System Architecture, Automation, 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) and 5+ years of experience in a related hardware engineering position.
Previous engineering experience in CPU/GPU/SOC NPI bringup, with focus on driving methodologies and test plans. Familiarity with silicon bringup and tuning a plus, related to timing, speed, reliability and power.
Familiarity with STA timing closure, circuit design, noise characterization, product binning methods, and/or performance/power optimization techniques.
Ways to stand out from the crowd:
Familiarity with statistical methods and tools for data analysis
Background with substrate and power supply noise analysis and mitigation
A "go-getter, can get it done" attitude and independent 'out-of-the-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!
#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 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.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.What you'll do
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Sign up free →NVIDIA is the world's leading designer of GPUs and AI computing platforms. Its chips power everything from gaming and data centers to autonomous vehicles and scientific research. With a market cap exceeding $2 trillion, NVIDIA's CUDA platform and AI accelerators have become the backbone of the global AI revolution.