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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
Embedded
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
Hardware

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. 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.

The role focuses on GPU power engineering, requiring strong analytical skills and background in power, micro-architecture and scripting. Key responsibilities include creating early power estimation and targets, analyzing GPU workloads for power reduction opportunities, evaluating and implementing power optimizations, and developing flows for power analysis.

The position offers a competitive base pay range between $126,800 and $190,900, along with comprehensive benefits including medical and dental coverage, retirement benefits, stock programs, and educational reimbursement opportunities. Apple employees can participate in discretionary restricted stock unit awards and purchase Apple stock at a discount through the Employee Stock Purchase Plan.

This is an excellent opportunity for a talented engineer to join Apple's prestigious hardware team and contribute to the development of industry-leading GPU technology while working in a collaborative environment that values innovation and technical excellence.

Last updated a day 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
  • Experience with Verilog and SystemVerilog
  • Experience with scripting in Python
  • Excellent communication skills, self-motivated and organized

Benefits For GPU Power Engineer

Medical Insurance
Dental Insurance
Education Budget
Equity
  • Medical Insurance
  • Dental Insurance
  • Retirement Benefits
  • Stock Options
  • Education Budget
  • Employee Stock Purchase Plan
  • Relocation Benefits

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