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What you'll be doing:
Analyzing and optimizing power and performance across technical, product, and usage constraints for Nvidia SoCs in 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 of their implementations.
Creating power models of key SoC units to evaluate architectural tradeoffs in DL/ML(training/inference),CPU, GPU, and multimedia workloads.
What we need to see:
Bachelor’s or master’s degree in Computer Engineering or Electrical Engineering (or equivalent experience)
3+ 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.
Ways to stand out from the crowd:
Experience with modeling and optimization of power and/or performance.
Python scripting and SW programming
Experience with prototyping power-optimization ideas on silicon
You will also be eligible for equity and .
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