Gpu Power Architect

Intel

Folsom, California, United States
Base: $122,440.00-232,190.00 usd; bonus/equity: st...
On-site
Gpu power model development and validation
Systemverilog digital logic design experience
Iccmax control and di/dt transient mitigation
Intel is seeking a GPU Power Architect for their Folsom, California location, focusing on designing energy-efficient hardware architectures for GPUs. The role involves collaboration with engineers to drive innovations in GPU performance and power efficiency, making a significant impact on various computing applications

Job Summary

  • This role plays a pivotal part in shaping the future of graphics and computing technology by designing scalable GPU architectures optimized for performance and power efficiency.
  • Candidates will be responsible for building and validating GPU power models across representative use cases while driving optimizations to achieve strict performance-per-watt targets.
  • Intel offers a competitive total compensation package including stock bonuses, health benefits, and retirement programs for this on-site position in Folsom, California.

Matching Summary

Match Score: 85

Intel is seeking a GPU Power Architect for their Folsom, California location, focusing on designing energy-efficient hardware architectures for GPUs. The role involves collaboration with engineers to drive innovations in GPU performance and power efficiency, making a significant impact on various computing applications.

Salary

Base: $122,440.00-232,190.00 USD; Bonus/Equity: Stock bonuses included; Benefits: Health, retirement, and vacation programs

Skills & Requirements

Must-have

  • GPU power model development and validation
  • SystemVerilog digital logic design experience
  • ICCmax control and di/dt transient mitigation
  • Workload power analysis and optimization
  • Python proficiency for engineering tasks

Nice-to-have

  • Ph.D. degree in relevant STEM field
  • Strategic innovation in GPU architecture
  • Cross-functional team collaboration skills
  • Analytical mindset for tradeoff evaluation
  • Strong technical presentation abilities

Key Requirements

  • M.S. or Ph.D. in Computer or Electrical Engineering
  • 2+ years experience with Master's or 1+ year with Ph.D.
  • Experience with datacenter-class GPU electrical and thermal constraints

Work Rights

Not specified

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