GPU Power Efficiency Engineer

Apple is a technology company that designs and manufactures consumer electronics, software, and services.
Hardware
Senior Software Engineer
In-Person
5,000+ Employees
10+ years of experience
AI · Hardware

Description For GPU Power Efficiency Engineer

Do you love creating elegant solutions to highly complex challenges? 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 and efficiently handle the tasks that make them beloved by millions. Joining this group means you'll be responsible for crafting and building the technology that fuels Apple's devices. Join us to help deliver the next groundbreaking product containing an Apple designed GPU!

In this highly impactful role, you will be responsible for Efficiency or Performance per watt projections for the GPU from early feature specification stages to Silicon. As a member of the Silicon Technologies GPU team, you will work across functions including Architecture, Power, Performance, Silicon Validation, Thermals and Technology. The job involves analyzing and influencing key factors effecting Performance and Power of the GPU and improving on methodologies to align the model to Silicon.

Your main responsibilities will include:

  • Generating and analyzing GPU Efficiency Projections, Performance per watt, for each generation of GPU over the full cycle of the project, from concept to Silicon.
  • Driving the methodology of generating projections to improve accuracy and quality.
  • Handling System and Chip level Power team requests to the GPU for projections.
  • Working with Technology, Power and Static timing teams to determine the Frequency-Voltage curves for the workloads.
  • Collaborating with Performance and Power teams to gather data for the Efficiency curves and analyze the impact.
  • Working with the Silicon Validation team to improve projections based on Silicon data.
  • Collaborating with GPU architecture team to set power targets and determine the impact of the features on efficiency.

Join our highly collaborative GPU team and play a pivotal role in shaping the future of Apple's GPU technology!

Last updated 5 months ago

Responsibilities For GPU Power Efficiency Engineer

  • Generate and analyze GPU Efficiency Projections for each generation of GPU
  • Drive methodology of generating projections to improve accuracy and quality
  • Handle System and Chip level Power team requests for GPU projections
  • Work with various teams to determine Frequency-Voltage curves for workloads
  • Collaborate with Performance and Power teams on Efficiency curves and impact analysis
  • Work with Silicon Validation team to improve projections based on Silicon data
  • Collaborate with GPU architecture team on power targets and feature impact

Requirements For GPU Power Efficiency Engineer

Python
  • BS + 10 years relevant experience
  • Experience in areas of Power and Silicon technology
  • Experience with Python, Perl, or other scripting/coding skills
  • Experience in data analysis, data mining and triage

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