Pre-Silicon Machine Learning and Compute Framework Engineer - Graphics, Games and Machine Learning

Summary

Apple’s Graphics, Games, and Machine Learning team provides the compute and graphics software foundation across all of our innovative products including iPhone, iPad, Apple TV, Mac, Vision Pro, and Apple Watch. The Pre-silicon Compute Frameworks team is seeking a senior engineer to influence and lead new features in Metal and Metal compute frameworks through our next-generation GPU hardware roadmap.

Minimum Qualifications

BS/MS/PhD or equivalent in Computer Science or related field with 5 years experience. Strong grasp and practical experience with at least one GPU compute APIs (Metal, CUDA, OpenCL, etc.) Good understanding of machine learning fundamentals and familiarity with ML frameworks (PyTorch, JAX, CoreML) Knowledge of Operating Systems, Computer Architecture, and CPU/GPU programming Strong background in C/C++ programming

Preferred Qualifications

Experience collaborating in large cross functional projects Familiarity with Apple framework and API design patterns Hands on experience with ML frameworks (PyTorch, JAX, CoreML)

Description

The Pre-silicon Compute Frameworks team is responsible for API design and development across Metal and Metal compute frameworks for upcoming hardware features in future Apple Silicon GPUs. As a member of this team, you will contribute to API design, development, and performance analysis across Metal and Metal compute frameworks for future Apple Silicon GPUs. Along with API development, you will develop critical compute and ML use cases to showcase new features. You will partner with other leaders across Apple software and hardware organizations to propose, develop, and evaluate hardware features for new silicon generations from emulation through silicon.

Responsibilities

Develop and deliver software representing Apple’s roadmap for compute and ML technologies during hardware development. Design APIs that enable developers to make full use of new hardware features in the simplest way possible. Partner with cross-functional teams to ensure our software and hardware roadmap includes the state-of-the-art features and performance. Contribute to the bring-up and verification of new chips and products using our new GPUs.