Gpu Power Architect

Intel Corporation

Folsom, California, US
$122,440.00-232,190.00 usd py
Gpu power models
Ai/ml workloads
Hardware mechanisms for iccmax
Your work will directly influence Intel's ability to deliver cutting-edge, scalable, and modular GPU designs optimized for performance, power efficiency, and versatility across a wide range of applications

Job Summary

  • Your work will directly influence Intel's ability to deliver cutting-edge, scalable, and modular GPU designs optimized for performance, power efficiency, and versatility across a wide range of applications.
  • Design and develop energy-efficient hardware architectures for AI/ML workloads.
  • We offer a total compensation package that ranks among the best in the industry.

Matching Summary

Your work will directly influence Intel's ability to deliver cutting-edge, scalable, and modular GPU designs optimized for performance, power efficiency, and versatility across a wide range of applications.

Salary

$122,440.00-232,190.00 USD

Skills & Requirements

Must-have

  • GPU power models
  • AI/ML workloads
  • hardware mechanisms for ICCmax
  • workload power analysis
  • performance-per-watt targets
  • SystemVerilog
  • Python proficiency

Nice-to-have

  • innovate and drive strategic advancements
  • collaborate across diverse engineering teams
  • analytical mindset
  • evaluate tradeoffs
  • strong communication skills

Key Requirements

  • M.S. or Ph.D. in Computer Engineering, Electrical Engineering, or equivalent
  • 2+ years of experience with Master’s degree
  • 1+ year of experience with Ph.D.
  • Computer architecture experience
  • Digital logic design experience
  • GPU power model development and validation experience
  • Electrical and thermal constraints in datacenter-class GPUs experience

Work Rights

Not specified

Tailored Resume

Cover Letter