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

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

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

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

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