GPU Architect, Platform Architecture

AppleCupertino, CA
70d

About The Position

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, inquisitive people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it! The Platform Architecture GPU group is looking for a talented GPU Architect to join the Neural Accelerator effort with strong skills in performance analysis and development at the level of ML frameworks and lower-level kernel implementations.

Requirements

  • BS degree
  • Experience with software and hardware performance analysis and optimization
  • Experience in GPU programming models such as Metal, CUDA, or similar
  • Experience with ML frameworks, for example MLX, Pytorch, or similar

Nice To Haves

  • MS or PhD in Computer Science, Electrical Engineering, or equivalent
  • 20+ years of relevant industry experience
  • Experience working specifically in CUDA C++ on ML and/or linear algebra algorithms
  • Experience optimizing LLM inference for low latency at the implementation level
  • Experience optimizing LLM inference at scale in the cloud or datacenter
  • Ability to communicate across both hardware and software organizations
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