Job description

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

Requirements

Must-haves

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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonml

Platform: apple
Effort: medium