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Apple GPU Energy Modeling Analysis Engineer 
United States, California 
740632902

06.06.2024
Description
Develop micro-architectural level energy models for early power estimation, what-if analysis, perf per watt tradeoff analysis, and power targets.Analyze and provide insight into power consumption throughout the GPU and where opportunities to reduce energy are.Analyze and drive power reduction techniques across entire stack, working with driver, compiler, app engineers, architects, micro-architects, and designers to understand and reduce power of high value workloads through SW improvements or architectural/micro-architectural improvements.Develop tools to aid in the measurement, visualization, analysis of GPU energy and opportunities to reduce power.Conduct directed studies to prototype solutions to improve the architecture/micro-architecture of next generation GPU's to reduce power.
Key Qualifications
  • Strong computer architecture knowledge.
  • Understanding of VLSI fundamentals.
  • Proficient Python programmer or similar scripting languages.
  • Experience with Tableau and/or Splunk is a plus but not required.
  • Ability to work well in a team and be productive under aggressive schedules.
  • Excellent communications skills, self-motivated and well organized.
Education & Experience
We are looking for candidates with a minimum of BS + 0 years of experience.
Pay & Benefits
  • At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $55.82 and $84.09/hr, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.