GPU Energy Modeling and Analysis Engineer

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$150,400–$277,600 / yr
Posted
50 days ago
Freshness
Confirmed live yesterday

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $219k
This role $214k
$135k $293k
below market most similar roles pay here above market

This role pays more than 55% of similar roles. Most pay $195,587–$242,062 — the blue band above. At the midpoint, this role pays about $214k versus about $219k for comparable roles.

Based on 240 similar postings.

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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 3532 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2761 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 the power activity of high-performance, power-efficient GPU development. Your primary responsibilities include developing micro-architectural level energy models for early power estimation, what-if analysis, and performance per watt tradeoff analysis. You will analyze power consumption across the GPU to identify energy reduction opportunities, driving improvements across the entire stack by collaborating with driver, compiler, app, and architecture teams. You will also develop tools for measuring and visualizing GPU energy and conduct directed studies to prototype architectural solutions. Required skills include computer architecture knowledge, experience evaluating PPA tradeoffs, and low power ASIC design knowledge. You must be a proficient Python programmer or similar scripting language user, with potential experience in Tableau or Splunk.

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 stack through software and architectural improvements.
  • Develop tools to measure, visualize, and analyze GPU energy data.
  • Conduct directed studies to prototype architectural solutions for next-generation GPUs.
  • Perform performance per watt tradeoff analyses to meet power targets.

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.
  • Proficient Python programmer 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 communications skills, self-motivated and well organized (preferred).

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