Neural Engine Performance Engineer, Platform Architecture

Apple

United States Of America, United States
**
Bs degree required
C++ programming experience
Python programming experience
** Apple is seeking a Neural Engine Performance Engineer to enhance the performance of its Neural Engine through software optimizations and hardware architectural improvements. The ideal candidate will have experience in software engineering, particularly with C++ and Python, and a strong background in hardware IP related to machine learning. **

Job Summary

  • This role is part of the Neural Engine IP architecture team responsible for connecting hardware and software into a unified system.
  • The engineer will analyze, debug, and optimize the performance of the Neural Engine through software optimizations and hardware architectural enhancements.
  • Candidates must have a BS degree and experience with C++, Python, and performance profiling of hardware or software.

Matching Summary

Match Score: 75

** Apple is seeking a Neural Engine Performance Engineer to enhance the performance of its Neural Engine through software optimizations and hardware architectural improvements. The ideal candidate will have experience in software engineering, particularly with C++ and Python, and a strong background in hardware IP related to machine learning. **

Skills & Requirements

Must-have

  • BS degree required
  • C++ programming experience
  • Python programming experience
  • Hardware or software performance profiling
  • Experience with ML HW accelerators or GPUs

Nice-to-have

  • MS or PhD degree preferred
  • 3+ years of software experience
  • Low level software interface development
  • Complex system level debugging
  • Automation software for data analysis
  • OS scheduling and memory management knowledge
  • SoC cache hierarchy understanding

Key Requirements

  • Bachelor's degree (BS)
  • C++ and Python proficiency
  • Performance profiling experience
  • Hardware IP experience in ML accelerators or similar units

Work Rights

Not specified

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