Summary
The ANE Software team develops the compiler and runtime for machine learning accelerators on Apple Silicon.
Description
As a lead 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
* BS and a minimum of 10 years experience with system software development
* 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
At Apple, we’re not all the same. And that’s our greatest strength. We draw on the differences in who we are, what we’ve experienced, and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. We will work with applicants to make any reasonable accommodations.
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