Nvidia Lead Engineer - Design Silicon Correlation 

United States, California 

475360902

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 architectingPerf/Power/Speed/Reliabilityfeatures 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.