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GPU Power Efficiency Engineer

Apple· Hardware
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Hybrid (Austin, TX)full-timePosted 6mo ago

About the role

Role focused on Efficiency or Performance per watt projections for the GPU from early feature specification stages to silicon. Collaborates across Architecture, Power, Performance, Silicon Validation, Thermals and Technology to analyze and improve GPU efficiency and projection methodologies throughout the project lifecycle.

Responsibilities

  • Generate and analyze GPU Efficiency Projections – Performance versus Power, for each generation of GPU over the full cycle of the project, from Concept to Silicon.
  • Drive the methodology of generating projections and Efficiency curves to improve accuracy and quality.
  • Collaborate with architecture team to set power targets and determine the impact of features on efficiency.
  • Work with Performance and Power teams to gather data for the Efficiency curves and analyze the impact.
  • Work with the Silicon team to improve projections based on Silicon data.

Qualifications

  • BS + Minimum of 3 years experience in the semiconductor industry
  • Experience with power or silicon technology or performance
  • Experience in Python, VBA or other coding languages
  • Ability to work across teams
  • Experience with Data Analysis and Excel
  • Experience in Power Projections or Performance Analysis
  • Experience with GPU workloads is a plus
  • Strong communication skills
  • Detail oriented and organized

Skills

Required:GPU efficiency projectionPower analysisPythonData analysis
Nice to have:VBA

Benefits

  • Equal opportunity employer
  • Inclusion and diversity
  • Accessibility initiatives and accommodations information
Last updated Jul 3, 2026. Interested? Apply on the company site.

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