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 and software. Our team is driving performance enhancements in application and system software and developing novel algorithms to deliver integrated, highly optimized solutions based on Apple Silicon. In this role, you will analyze existing and new workloads to identify performance bottlenecks in the hardware and/or software. Working with your colleagues, you will address performance limitations and provide recommendations for Apple hardware and software improvements. In addition to working directly with developers, you will identify patterns of performance challenges on Apple silicon, emerging new usage models, and provide feedback to the silicon and software teams for potential improvements.

- Conduct performance studies to inform and validate architecture decisions. - Create optimized implementations of machine learning workloads on Apple Silicon, including Neural Engine, GPU, and CPU. - Collaborate with system teams to create performance models of emerging AI/ML techniques and analyze system architecture trade-offs. - Work with software development tools teams to deliver performance analysis instruments and optimized libraries and frameworks for AI/ML applications.