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Neural Engine Performance Engineer, Platform Architecture at Apple
Cupertino, California, United States -
Full Time

Start Date

Immediate

Expiry Date

17 Aug, 26

Salary

0.0

Posted On

19 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

C++, Python, Performance Profiling, ML HW Accelerators, GPU, ISP, Video CODECs, CPU, Low Level Software Interfaces, System Level Performance Debugging, Automation Software, OS Scheduling, Memory Management, ML Inference, SoC Cache Hierarchy

Industry

Computers and Electronics Manufacturing

Description
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
Responsibilities
Analyze, debug, and optimize the performance of the Neural Engine IP. Collaborate across teams to implement software optimizations and hardware architectural enhancements.