GPU Energy Modeling and Analysis Engineer

Apple Inc

Confirmed live yesterday High trust

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Work type
On-site
Location
Austin, TX
Posted
1 day ago
Freshness
Confirmed live yesterday

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Similar $220k
$156k most similar roles pay here $275k

This listing doesn't post a salary. Most similar roles pay $184,900–$254,600.

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About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 2305 open roles on FindRole.

Listed pay typically runs $175,000–$280,000 across 1873 roles with salary data.

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At a glance

TL;DR · GPU Energy Modeling and Analysis Engineer

As a GPU Energy Modeling and Analysis Engineer within the Silicon Technologies group, you will support power activity for high-performance, power-efficient GPU development. Your daily responsibilities involve developing micro-architectural level energy models for early power estimation, what-if analysis, and performance per watt tradeoff studies. You will analyze power consumption across the GPU to identify reduction opportunities, collaborating with driver, compiler, application, architecture, and design teams to implement software or architectural improvements. Additionally, you will build tools for measuring and visualizing energy data while conducting directed studies to prototype solutions for next-generation hardware. The role requires expertise in computer architecture, low power ASIC design, and PPA tradeoffs. You must be a proficient Python programmer or skilled in similar scripting languages, with the ability to utilize Tableau or Splunk for data analysis and visualization.

What you'll do

  • Develop micro-architectural energy models for early power estimation and performance-per-watt tradeoff analysis.
  • Analyze GPU power consumption to identify specific opportunities for energy reduction.
  • Drive power reduction techniques across the entire stack through software and architectural improvements.
  • Create tools to measure, visualize, and analyze GPU energy data.
  • Conduct directed studies to prototype architectural solutions for next-generation GPUs.
  • Evaluate PPA tradeoffs to optimize high-performance, power-efficient SoC designs.

What we're looking for

  • Minimum BS degree and 3+ years of relevant experience.
  • Knowledge of computer architecture.
  • Experience investigating and evaluating PPA tradeoffs.
  • Knowledge of low power ASIC design.
  • Proficiency 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).
  • Excellent communication skills, self-motivated, and well organized (preferred).

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