Neural Engine Performance Architect, Platform Architecture

At Apple, Platform Architecture is responsible for connecting our hardware and software into one unified system. Join this team, and you'll collaborate with engineers across Apple to design how all of our technologies work in unison. In this role, you will be part of the Neural Engine IP architecture team and work to improve the performance of the Neural Engine IP through SW optimizations and HW architectural enhancements.

As a Neural Engine Performance Architect, you will be responsible for analyzing, debugging and optimizing the performance of the Neural Engine.

MS or PhD degree 20+ years of software experience Experience writing low level software interfaces to hardware Experience debugging complex system level performance issues Experience writing automation software for data collection and analysis Understanding of OS scheduling and memory management Understanding of ML workloads and deployment for inference Understanding of SoC cache hierarchy and its performance implications

BS degree

Experience with C++ and Python

Experience with performance profiling of HW or SW Domain knowledge in at least one hardware IP: ML HW accelerators or processing units such as GPUs, ISPs, Video CODECs, CPUs, or similar