System Software Engineer (Neural Engine) -

As 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 teams

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 with Swift Strong written and verbal communication skills

Minimum 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 Proficiency in English