Taro Logo

GPU Power Engineer

Apple is where individual imaginations gather together, creating innovative products and services that change lives for the better.
$126,800 - $190,900
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI

Job Description

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better.

As part of our Silicon Technologies group, you'll help design and manufacture our next-generation, high-performance, power-efficient processor, system-on-chip (SoC). You'll ensure Apple products and services can seamlessly handle the tasks that make them beloved by millions. We are looking for a talented and creative engineer to support the power activity of Apple best-in-class GPU development.

The role involves creating early power estimation and targets, analyzing GPU workloads for power optimization opportunities, and developing flows to accelerate power triage. You'll work with RTL and gate-level power analysis, implement power optimizations, and identify power sign-off tests to improve analysis coverage.

The position offers comprehensive benefits including medical, dental, and vision coverage, retirement benefits, stock programs, and education reimbursement. Base pay ranges from $126,800 to $190,900, with additional opportunities for bonuses, stock awards, and relocation assistance.

Join Apple's innovative Silicon Technologies team and contribute to the development of industry-leading GPU technology while working in a collaborative environment that values creativity, technical excellence, and continuous improvement.

Last updated 5 days ago

Responsibilities For GPU Power Engineer

  • Create early power estimation, power targets and perform what-if analysis at architectural evaluation stage
  • Support RTL and gate-level power rollup and analysis
  • Analyze various GPU workloads to identify power reduction opportunities
  • Evaluate and implement power optimizations in both RTL and gates
  • Identify the best power sign-off tests to improve power analysis coverage
  • Develop flows & heuristics to accelerate power triage on large power data sets

Requirements For GPU Power Engineer

Python
  • Bachelors or Master's degree
  • Knowledge of digital logic design principles including power and timing implications
  • Experience with VLSI power fundamentals: dynamic & leakage
  • Experience with low power design: clock gating, data-gating
  • Excellent communication skills, self-motivated and organized
  • Experience with Verilog and SystemVerilog
  • Experience with scripting in Python

Benefits For GPU Power Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
Education Budget
Equity
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • 401k
  • Education Budget
  • Equity

Related Jobs

Formal Verification Engineer

Senior Formal Verification Engineer role at Apple, focusing on SoC design verification and security architecture for next-generation processors.

AIML - Machine Learning Engineer, Web Indexing team

Senior Machine Learning Engineer position at Apple, focusing on web indexing and search infrastructure, offering competitive salary range of $147,400-$272,100 with comprehensive benefits.

SWE - Sr Software Engineer, Siri Experiences Framework and Tooling

Senior Software Engineer position at Apple working on Siri's conversation system, focusing on framework development and tooling with competitive compensation and benefits.

Senior macOS Application Engineer - Devices

Senior macOS Application Engineer position at Apple, focusing on developing tools and frameworks for device management across Apple's platforms.

Computer Vision and Machine Learning Engineer

Senior Computer Vision and Machine Learning Engineer role at Apple, focusing on real-time computer vision and ML algorithms for AR/VR applications.