Compiler Engineer (Neural Engine) - m/f/d
Summary
Develops and optimizes compiler software for Apple’s Neural Engine, enabling efficient machine learning model execution on Apple Silicon hardware.
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
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