Apple

Apple

Posted via Apple Careers

ANE Pre-Silicon Driver Engineer

Always Hiring

Posted Aug 7, 2026

Role at a glance

Salary
$184.7K – $324.8K/yr
Location
Sunnyvale, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
BS and a minimum of 10 years experience with system software development
Education
PhD

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Role Summary

AI-generated

The Apple Neural Engine Software team develops the compiler and runtime for machine learning accelerators on Apple Silicon. The role supports hardware-accelerated, real-time, low-power and high-performance execution of deep learning workloads across Apple product platforms.

What You'll Do

  • Analyze and implement software interfacing with hardware for artificial intelligence applications across Apple product platforms.
  • Develop software across the framework, driver and firmware layers.
  • Collaborate with model teams to support new machine learning models on the hardware.
  • Work cross-functionally with hardware and software teams to resolve issues.
  • Conduct performance profiling and diagnostics using and developing specialized tools.
  • Engage with QA teams.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

BS and a minimum of 10 years experience with system software development; experience with compiler development; excellent programming skills in C, C++ or Python

Required

  • BS
  • A minimum of 10 years experience with system software development
  • Experience with compiler development
  • Excellent programming skills in C, C++ or Python

Preferred

  • MS or PhD in computer science, machine learning or related field
  • Experience in low level software architecture, modeling or validation
  • Familiarity with AI networks for example CNN, transformer and diffusion model architectures and their performance characteristics
  • Proficiency with profiling and optimizing complex software
  • Experience with SoC low level software development, distributed computing or hardware acceleration
  • Strong background in data science and statistical methods, with demonstrated ability to analyze large datasets and present complex...
  • Experience with MLIR
  • Experience with Swift

Original job description

Content provided by the employer

Summary

The Apple Neural Engine Software team develops the compiler and runtime for machine learning accelerators on Apple Silicon.

Description

In our ANE software team, we are dedicated to providing hardware acceleration using the Apple Neural Engine to enable real time, low power and high performance execution of Deep Learning workloads. Our success is the result of very dynamic people working in an environment which cultivates creativity, partnership and cross-functional collaboration.

Responsibilities

Analyze and implement software interfacing with the hardware for artificial intelligence applications across a wide range of Apple product platforms
Develop software across our framework, driver and firmware
Collaborate closely with model teams to support new machine learning models on our hardware
Work cross functionally with hardware and software teams to resolve issues
Conduct performance profiling and diagnostics using and developing specialized tools
Engage with QA teams

Minimum Qualifications

BS and a minimum of 10 years experience with system software development
Experience with compiler development
Excellent programming skills in C, C++ or Python

Preferred Qualifications

MS or PhD in computer science, machine learning or related field
Experience in low level software architecture, modeling or validation
Familiarity with AI networks for example CNN, transformer and diffusion model architectures and their performance characteristics
Proficiency with profiling and optimizing complex software
Experience with SoC low level software development, distributed computing or hardware acceleration
Strong background in data science and statistical methods, with demonstrated ability to analyze large datasets and present complex insights clearly
Experience with MLIR
Experience with Swift
Strong written and verbal communication skills

Pay & Benefits — Sunnyvale, California, United States

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Application Deadline

Apple accepts applications to this posting on an ongoing basis.

Apple

About the company

Apple

Large Enterprise

Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.