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

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