GPU Power Efficiency Engineer

Austin, TX, US • Posted 4 days ago • Updated 1 day ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Integrated Circuit
  • System On A Chip
  • Semiconductors
  • Python
  • VBA
  • Collaboration
  • Data Analysis
  • Microsoft Excel
  • Performance Analysis
  • GPU
  • Communication
  • Organized

Summary

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! \\n\\nIn 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.

- Responsible to 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.\n- Drive the methodology of generating projections and Efficiency curves to improve accuracy and quality.\n- Collaborate with architecture team to set power targets and determine the impact of features on efficiency.\n- Work with Performance and Power teams to gather data for the Efficiency curves and analyze the impact.\n- Work with the Silicon team to improve projections based on Silicon data.

BS + Minimum of 3 years experience in the semiconductor industry\nExperience with power or silicon technology or performance\nExperience in Python, VBA or other coding languages

Ability to work across teams\nExperience with Data Analysis and Excel\nExperience in Power Projections or Performance Analysis\nExperience with GPU workloads is a plus\nStrong communication skills\nDetail oriented and organized
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: 372b98559eefc33e211fa30dc1365e19
  • Posted 4 days ago
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