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Summary

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

Description

As a compiler engineer in the Apple Neural Engine Software team, you will be expected to - 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 - Collaborate 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

Responsibilities

Minimum Qualifications

• • BS and a minimum of 3 years experience with software development
• • Experience with compiler development
• • Excellent programming skills in C++, C or Swift
• • Proficiency in English

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
• • Experience with MLIR
• • Experience in building debugging and performance analysis tooling
• • Strong written and verbal communication skills