GPU Energy Modeling and Analysis Engineer

What you'll do

• Develop micro-architectural level energy models for early power estimation and what-if analysis.
• Analyze GPU power consumption to identify specific opportunities for energy reduction.
• Drive power reduction techniques across the hardware and software stack for high-value workloads.
• Develop tools to measure, visualize, and analyze GPU energy consumption.
• Conduct directed studies to prototype architectural improvements for next-generation GPUs.
• Mine and analyze energy consumption data across wide sets of workloads to identify high-ROI opportunities.

What we're looking for

• Possess comprehensive knowledge of computer architecture.
• Have experience investigating energy reduction ideas across the HW/SW stack and driving directed studies of PPA tradeoffs.
• Have experience in data mining and analyzing energy consumption across a wide set of workloads to identify high ROI opportunities.
• Possess knowledge of low power ASIC design.
• Be a proficient programmer in Python or similar scripting languages.
• Experience with Tableau and/or Splunk (preferred).
• Ability to work well in a team and be productive under aggressive schedules (preferred).
• Possess excellent communication skills, be self-motivated, and be well organized (preferred).