Neural Engine Performance Engineer, 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.

Description

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

Minimum Qualifications

BS degree
Experience with C++ and Python
Experience with performance profiling of HW or SW
Experience in at least one hardware IP: ML HW accelerators or processing units such as GPUs, ISPs, Video CODECs, CPUs, or similar

Preferred Qualifications

MS or PhD degree
3+ 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