Machine Learning Engineer, Platform ArchitectureCupertino, California, United States

Hardware

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 our technologies work in unison, drive development of our renowned system-on-a-chip architecture and develop forward-looking prototype systems. Our team works at the intersection of ML applications and Apple silicon architecture. We collaborate with SoC/IP architecture, system, software, and algorithm teams to develop integrated, highly optimized solutions for machine learning applications.

ResponsibilitiesCreate 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 teams to create high-level performance models of emerging ML techniques and analyze system architecture trade-offs.

Minimum QualificationsBachelor'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

Preferred QualificationsMS or PhD in EE/CE/CS or related field, or 3

• years of relevant experience

• Experience with ML frameworks (e.g. PyTorch) and efficient implementations of machine learning algorithms
• Experience in optimizing and deploying ML models and/or runtime frameworks in production inference/training environments
• Experience in creating SoC or IP performance models/simulations

Verbal and written communication skills for collaborating with partner teams

Ability to prototype algorithms on CPU/GPU/Neural Engine, analyze performance metrics, and create high-level complexity models

Understanding of compiler frameworks/technologies

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.