Gpu Power Architect

Inteelabs

Folsom, California, USA
$122,440.00-232,190.00 usd; not specified; competi...
Onsite
Gpu power modeling
Hardware architecture design
Workload power analysis
Inteelabs is seeking a GPU Power Architect to design and develop energy-efficient hardware architectures for AI/ML workloads in Folsom, California. The role requires expertise in computer architecture, digital logic design, and GPU power modeling, with a focus on optimizing performance and power efficiency

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.
  • Design and develop energy-efficient hardware architectures for AI/ML workloads, build and validate GPU power models, and architect hardware mechanisms to control ICCmax and mitigate di/dt transients.
  • We offer a total compensation package that ranks among the best in the industry, consisting of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation.

Matching Summary

Match Score: 85

Inteelabs is seeking a GPU Power Architect to design and develop energy-efficient hardware architectures for AI/ML workloads in Folsom, California. The role requires expertise in computer architecture, digital logic design, and GPU power modeling, with a focus on optimizing performance and power efficiency.

Salary

$122,440.00-232,190.00 USD; Not specified; Competitive pay, stock bonuses, and benefit programs

Skills & Requirements

Must-have

  • GPU power modeling
  • Hardware architecture design
  • Workload power analysis
  • SystemVerilog
  • Python proficiency

Nice-to-have

  • Innovation and strategic advancements
  • Cross-functional team collaboration
  • Analytical evaluation of tradeoffs

Key Requirements

  • M.S. or Ph.D. in relevant STEM field
  • 2+ years experience (M.S.) or 1+ year experience (Ph.D.)
  • Computer architecture
  • Digital logic design
  • GPU power models
  • Electrical and thermal constraints
  • Datacenter-class GPUs

Work Rights

Not specified

Tailored Resume

Cover Letter