The ANE Software team develops the compiler and runtime for machine learning accelerators on Apple SiliconDescriptionAs a system software engineer in the Apple Neural Engine Software team primarily focused on compiler, you will be expected to - Analyze and implement software interfacing with the hardware for artificial intelligence applications across a wide range of Apple product platforms - 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 teamsMinimum Qualifications
BS and a minimum of 10 years experience with system software development
Experience with compiler development
Excellent programming skills in C, C++ or Python
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
