GPU Engineer, Platform Architecture

Role Number : 200625959-0836

Summary

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!

Description

The Platform Architecture GPU group is looking for a talented GPU Engineer 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.

Minimum Qualifications

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

Preferred Qualifications

MS or PhD in Computer Science, Electrical Engineering, or equivalent

3+ 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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