Compiler Engineer; Neural Engine; m​/f​/d

Summary

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

• 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

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