Machine Learning Compiler Engineer

At Apple, we're pioneering the future of AI through our Machine Learning Compiler Engineer role on the Apple Neural Engine (ANE) team. This position offers a unique opportunity to work on cutting-edge AI technology that powers iconic products like Vision Pro, iPhone, iPad, and Mac.

As a Machine Learning Compiler Engineer, you'll be instrumental in developing and optimizing compilers for Apple's proprietary Neural Engine Accelerator. Your work will directly impact the performance and efficiency of AI applications across Apple's product lineup. You'll collaborate with hardware and platform architecture teams to bring new silicon to market and ensure optimal compiler support for next-generation features.

The role requires expertise in compiler design, architecture, and optimization techniques. You'll lead complex compiler feature implementations while balancing performance, energy efficiency, and hardware constraints. Your contributions will help shape the future of AI computing at Apple.

Key responsibilities include architecting compiler solutions, collaborating across teams, leading technical initiatives, and driving performance improvements. You'll work with cutting-edge technologies like MLIR and LLVM while applying your expertise in C++ and complex software systems.

This is an excellent opportunity for someone passionate about AI, compiler technology, and hardware optimization. You'll join a creative, collaborative environment where you can make significant contributions to groundbreaking products used by millions worldwide. The role offers competitive compensation, comprehensive benefits, and the chance to work with world-class teams pushing the boundaries of what's possible in AI and computing.

If you're excited about combining compiler expertise with machine learning innovation and want to help shape the future of AI at Apple, this role offers the perfect platform to make your mark.