Neural Engine Performance Engineer, Platform Architecture

Apple Inc

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Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$150,400–$277,600 / yr
Posted
137 days ago
Freshness
Confirmed live today

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Competitive pay

How this pay compares to similar roles

Similar $210k
This role $214k
$135k most similar roles pay here $293k

This role pays more than 56% of similar roles. Most pay $177,300–$241,750 — the shaded band above. At the midpoint, this role pays about $214k versus about $210k for comparable roles.

Based on 240 similar postings.

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About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 3587 open roles on FindRole.

Listed pay typically runs $165,800–$277,600 across 2768 roles with salary data.

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At a glance

TL;DR · Neural Engine Performance Engineer, Platform Architecture

As a Neural Engine Performance Engineer, Platform Architecture, you will join the Neural Engine IP architecture team to improve performance through software optimizations and hardware architectural enhancements. You will be responsible for analyzing, debugging, and optimizing the Neural Engine by prototyping performant and flexible programming models, defining and implementing performance studies to identify bottlenecks in both hardware and software, and developing tools for performance profiling. The role requires proficiency in C++ and Python, alongside experience with hardware or software performance profiling. Candidates should possess expertise in at least one hardware IP, such as ML accelerators, GPUs, ISPs, Video CODECs, or CPUs. Relevant domain knowledge includes understanding machine learning workloads for inference, SoC cache hierarchy, OS scheduling, memory management, and writing low-level software interfaces to hardware to solve complex system-level performance issues within the unified hardware and software ecosystem.

What you'll do

  • Prototype performant and flexible programming models for the Neural Engine.
  • Define and implement performance studies to identify hardware and software bottlenecks.
  • Develop and maintain tools for performance profiling.
  • Analyze, debug, and optimize the performance of the Neural Engine IP.
  • Implement hardware architectural enhancements to improve system performance.
  • Perform software optimizations for the Neural Engine.
  • Write low-level software interfaces to interact with hardware components.
  • Create automation software for data collection and analysis.

What we're looking for

  • Experience with C++ and Python.
  • Experience with performance profiling of hardware or software.
  • Experience in at least one hardware IP, such as ML accelerators, GPUs, ISPs, Video CODECs, CPUs, or similar.
  • MS or PhD degree (preferred).
  • 3+ years of software experience (preferred).
  • Experience writing low-level software interfaces to hardware, debugging complex system issues, and writing automation software for data analysis (preferred).
  • Understanding of OS scheduling, memory management, ML workloads, and SoC cache hierarchy (preferred).

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