Compiler Engineer (Neural Engine) - m/f/d

Apple

München

Vor Ort

EUR 90.000 - 135.000

Vollzeit

Vor 6 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

Apple is seeking a Compiler Engineer for the ANE Software team in Munich to develop and optimize compiler tooling and runtimes for machine learning accelerators on Apple Silicon. You will interface with hardware across product platforms, provide technical leadership, and design optimizations to improve latency and bandwidth for ML models.

Join a multidisciplinary team working on compiler, framework, driver and firmware software, collaborating closely with model teams and QA to ensure robust and

Qualifikationen

  • Bachelor's degree in CS or related field.
  • Experience with compiler development.
  • Excellent programming skills in C++, C or Swift.
  • Proficiency in English.
  • Strong written and verbal communication skills.

Aufgaben

  • Analyze, design and implement software interfacing with the hardware for AI applications across Apple product platforms.
  • Assume technical leadership, mentor and guide other developers.
  • Design and develop compiler optimizations to improve latency/bandwidth of ML models.
  • Develop software across compiler, framework, driver and firmware.
  • Collaborate with model teams to support new ML models on our hardware.
  • Conduct performance profiling and diagnostics using specialized tools.
  • Engage with QA teams.

Kenntnisse

Compiler development
C++
Swift
English
Communication skills

Ausbildung

Bachelor's degree in CS or related field

Tools

MLIR

Jobbeschreibung

Summary

The ANE Software team develops the compiler and runtime for machine learning accelerators on Apple Silicon

Description

As a compiler engineer in the Apple Neural Engine Software team, you will be expected to -

Analyze, design and implement software interfacing with the hardware for artificial intelligence applications across a wide range of Apple product platforms

Assume technical leadership, mentor and guide other developers

Ensure technical excellence and robust, maintainable software

Design and develop compiler optimizations to improve latency/bandwidth of our ML models

Develop software across our compiler, framework, driver and firmware

Collaborate closely with model teams to support new machine learning models on our hardware

Conduct performance profiling and diagnostics using and developing specialized tools

Engage with QA teams

Minimum Qualifications

  • Bachelors degree in an aligned field and some industry experience
  • Experience with compiler development
  • Excellent programming skills in C++, C or Swift
  • Proficiency in English
  • Strong written and verbal communication skills

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 in building debugging and performance analysis tooling

At Apple, we’re not all the same. And that’s our greatest strength. We draw on the differences in who we are, what we’ve experienced, and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. We will work with applicants to make any reasonable accommodations.

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Role Number: 200673843-1731

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