ANE Pre-Silicon Driver Engineer

Apple Inc

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Quick summary

Work type: On-site
Location: Sunnyvale, CA
Salary: $184,700–$324,800 / yr
Posted: 81 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $214k

This role $255k

$146k $344k

below market most similar roles pay here above market

This role pays more than 87% of similar roles. Most pay $177,250–$250,000 — the blue band above. At the midpoint, this role pays about $255k versus about $214k 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 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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At a glance

TL;DR · ANE Pre-Silicon Driver Engineer

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The ANE Pre-Silicon Driver Engineer joins the Apple Neural Engine Software team to develop the compiler and runtime for machine learning accelerators on Apple Silicon. This role focuses on providing hardware acceleration for real-time, low-power, and high-performance execution of Deep Learning workloads. You will analyze and implement software interfacing with hardware for artificial intelligence applications across various product platforms, developing software across the framework, driver, and firmware. Key responsibilities include collaborating with model teams to support new machine learning models, conducting performance profiling and diagnostics, and resolving issues with hardware and software teams. Required skills include C, C++, or Python programming, compiler development experience, and system software development. Preferred expertise includes MLIR, Swift, low-level software architecture, and familiarity with CNN, transformer, and diffusion model architectures.

Skills

C C++ Python Swift MLIR Compiler Development Deep Learning CNN Transformer SoC Hardware Acceleration Distributed Computing Performance Profiling Data Science Statistical Methods

What you'll do

Analyze and implement software interfaces for hardware-based artificial intelligence applications.
Develop software across the framework, driver, and firmware layers.
Support new machine learning models on hardware in coordination with model teams.
Resolve technical issues through cross-functional work with hardware and software teams.
Conduct performance profiling and diagnostics using specialized tools.
Develop and maintain specialized tools for performance analysis.
Engage with QA teams to ensure software quality and reliability.

What we're looking for

BS degree and a minimum of 10 years experience with system software development.
Experience with compiler development.
Excellent programming skills in C, C++, or Python.
MS or PhD in computer science, machine learning, or a related field (preferred).
Experience in low level software architecture, modeling, or validation (preferred).
Familiarity with AI networks such as CNN, transformer, and diffusion model architectures (preferred).
Experience with SoC low level software development, distributed computing, or hardware acceleration (preferred).
Experience with MLIR, Swift, or strong data science and statistical methods (preferred).