Senior SoC Power Analysis Engineer

NVIDIA•Us, CA

17d

About The Position

We are now looking for a Senior SoC Power Analysis Engineer! NVIDIA is seeking an exceptional silicon power analysis and optimization engineer to help us build power-efficient and performance-leading SOC's. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars, to the growing field of artificial intelligence. We have built a team of extraordinary people, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. What you'll be doing: Analyzing and optimizing Silicon power and performance across technical, product, and usage constraints for Nvidia SoCs used in data center, driving, robotics, multimedia, edge computing, and other embedded applications. Working with teams throughout the company (HW, SW, Platform, Thermal, Operations, Marketing, etc...) to deliver outstanding power solutions. Guiding HW, SW and Platform teams in evaluating and improving Perf/Watt and battery life of their implementations. Creating power models of key SoC units to evaluate architectural tradeoffs in DL/ML (training/inference), CPU, GPU, and multimedia workloads.

Requirements

A Master’s degree in Computer Engineering or Electrical Engineering or equivalent experience
8+ years of additional relevant work experience focused on computer architecture and SOC power-perf analysis and optimization.
Understanding of the many factors influencing power efficiency at HW, SW, system, and product levels.
Good understanding of HW-SW interactions for Deep learning, Multimedia, or Productivity use cases
Strong interpersonal and teamwork skills.
A drive to continuously learn and expand architectural breadth and depth.

Nice To Haves

Experience with modeling and optimization of power and/or performance.
Python scripting and SW programming
Experience with prototyping power-optimization ideas on silicon

Responsibilities

Analyzing and optimizing Silicon power and performance across technical, product, and usage constraints for Nvidia SoCs used in data center, driving, robotics, multimedia, edge computing, and other embedded applications.
Working with teams throughout the company (HW, SW, Platform, Thermal, Operations, Marketing, etc...) to deliver outstanding power solutions.
Guiding HW, SW and Platform teams in evaluating and improving Perf/Watt and battery life of their implementations.
Creating power models of key SoC units to evaluate architectural tradeoffs in DL/ML (training/inference), CPU, GPU, and multimedia workloads.