Machine Learning Architect, Platform Architecture

Cupertino, 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 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. Description 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 critically evaluate ML model optimization techniques from the literature, analyzing what works and why, and proposing new ideas that build on what you learn. You will gain insights on how to make workloads run efficiently on our SoCs and provide guidance to software and algorithm teams. Responsibilities 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. Collaborate with system teams to create high‑level performance models of emerging ML techniques and analyze system architecture trade‑offs. Evaluate emerging ML model optimization techniques through experimentation and analysis; propose new ideas to inform hardware and algorithm direction. Minimum Qualifications Experience in C/C++ and/or Python Experience in hardware IPs: ML HW accelerators, GPU/CPU, image/video processors or similar. Experience with ML frameworks (e.g., PyTorch) and efficient implementations of machine learning algorithms Preferred Qualifications MS or PhD in EE/CE/CS or related field 20+ years of relevant experience Experience in optimizing and deploying ML models and/or runtime frameworks in production inference/training environments Experience designing experiments to evaluate ML model optimization techniques Ability to prototype algorithms on CPU/GPU/Neural Engine, analyze performance metrics, and create high‑level complexity models Verbal and written communication skills for collaborating with partner teams Understanding of compilers Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. 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. Learn more about your EEO rights as an applicant. #J-18808-Ljbffr Apple Inc.