Apple AR/VR Job | Machine Learning Engineer, Platform Architecture
Job（岗位）: Machine Learning Engineer, Platform Architecture
Citys（岗位城市）: Cupertino, California, United States
Date（发布日期）: 2025-2-10
Summary（岗位介绍）
At Apple, our Platform Architecture group is responsible for connecting our hardware and software into one unified system. You’ll collaborate with engineers across Apple to design how all of our technologies work in unison, drive development of our renowned system-on-a-chip architecture and develop forward-looking prototype systems. Our team works with IP and SoC architecture, system, software and algorithm teams to develop integrated, highly optimized solutions for machine learning applications.
In this role, you will explore different ways of mapping ML workloads to Apple silicon and develop performance models/simulations. Your work will inform and validate architecture decisions. You will gain insights on how to make workloads run efficiently on our IPs and SoCs and communicate what we learn to software and algorithm teams.
Qualifications（岗位要求）
Bachelor's degree
Ability to program in C/C++ and/or Python
Knowledge of computer architecture fundamentals
Domain knowledge in at least one hardware IP: ML HW accelerators or processing units such as GPU, image/video, CPUs, or similar
Description（岗位职责）
- Create optimized implementations of ML workloads on Apple silicon including Neural Engine, GPU and CPU.
- Collaborate with IP and SoC architecture teams to develop performance models and simulations of future hardware.
- Conduct performance studies to inform and validate architecture decisions.
- Collaborate with system team to create high level performance models of emerging ML techniques and analyze system architecture trade-offs.
Additional Requirements（额外要求）
MS or PhD in EE/CE/CS or related field, or 3+ years of relevant experience.
Experience in efficient implementation of machine learning algorithms
Experience in creating system or IP performance models/simulations
Verbal and written communication skills for collaborating with partner teams
Familiarity with deep learning frameworks such as PyTorch
Ability to prototype and benchmark algorithms on CPU/GPU/Neural Engine, analyze performance metrics and create high level complexity models
Ability to develop hardware accelerator performance and bit accurate models
Understanding of compiler frameworks/technologies
