Neural Engine Performance Engineer, Platform Architecture
Apple· Hardware
Cupertino, CA$150.4k - $277.6kfull-timePosted 5mo ago
About the role
Role within Apple’s Platform Architecture, focusing on improving Neural Engine IP performance through software optimizations and hardware architectural enhancements. Responsible for analyzing, debugging, and optimizing Neural Engine performance, prototyping programming models, defining performance studies, and developing performance profiling tools.
Responsibilities
- Prototyping performant and flexible programming models for the Neural Engine.
- Defining and implementing performance studies to identify performance bottlenecks in the Neural Engine HW and SW.
- Developing and maintaining tools for performance profiling.
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
- 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
Skills
Required:C++PythonPerformance profilingLow level software interfaces to hardwareOS scheduling and memory managementML workloads and deployment for inferenceSoC cache hierarchy performance
Benefits
- Comprehensive medical and dental coverage
- retirement benefits
- range of discounted products and free services
- reimbursement for certain educational expenses (tuition)
- possible discretionary bonuses or commission payments
- relocation support (if applicable)
Last updated Jul 3, 2026. Interested? Apply on the company site.
About Apple
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