Machine Learning Engineer, Platform Architecture

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401(k) match

Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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About this role

Machine Learning Engineer, Platform Architecture Cupertino, United States of America 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. 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 SoCs and communicate what we learn to software and algorithm teams. 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 teams to create high-level performance models of emerging ML techniques and analyze system architecture trade-offs. Minimum Qualifications: 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 Preferred Qualifications: MS or PhD in EE/CE/CS or related field, or 3+ years of relevant experience Experience

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