GPU Energy Modeling and Analysis Engineer

Apple is a technology company that designs and manufactures consumer electronics, software, and services.
Hardware
Mid-Level Software Engineer
In-Person
3+ years of experience
AI

Description For GPU Energy Modeling and Analysis Engineer

Apple is seeking a versatile and creative GPU Energy Modeling and Analysis Engineer to join their Silicon Technologies group. This role involves designing and manufacturing next-generation, high-performance, power-efficient processors and system-on-chip (SoC) solutions. The successful candidate will support the power activity of Apple's best-in-class GPU development.

Key responsibilities include:

  1. Developing micro-architectural level energy models for early power estimation, what-if analysis, performance per watt tradeoff analysis, and power targets.
  2. Analyzing and providing insight into power consumption throughout the GPU and identifying opportunities to reduce energy.
  3. Analyzing and driving power reduction techniques across the entire stack, collaborating with various teams to understand and reduce power consumption of high-value workloads.
  4. Developing tools to aid in the measurement, visualization, and analysis of GPU energy and opportunities to reduce power.
  5. Conducting directed studies to prototype solutions for improving the architecture/micro-architecture of next-generation GPUs to reduce power.

The ideal candidate will have a strong background in computer architecture, VLSI fundamentals, and proficiency in Python or similar scripting languages. They should be able to work well in a team, be productive under aggressive schedules, and possess excellent communication skills. Experience with Tableau and/or Splunk is a plus but not required.

Join Apple's Silicon Technologies group and contribute to crafting and building the technology that fuels Apple's devices, enabling customers to do all the things they love with their devices!

Last updated a month ago

Responsibilities For GPU Energy Modeling and Analysis Engineer

  • 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 various teams
  • 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

Requirements For GPU Energy Modeling and Analysis Engineer

Python
  • Computer architecture knowledge
  • Understanding of VLSI fundamentals
  • Proficient Python programmer or similar scripting languages
  • Minimum BS Degree

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