Machine Learning Compiler Architect

We are seeking a Machine Learning Compiler Architect to join Apple's Neural Engine software team. This role focuses on developing compiler technology to accelerate deep learning applications for Apple products including Apple Vision Pro, iPhone, iPad, Apple Watch and Mac. The position involves architecting and developing compilers for Apple's proprietary Neural Engine Accelerator architecture, with emphasis on performance and power optimization.

The ideal candidate will work on bringing up new hardware silicon, support compiler features, and collaborate closely with platform architecture and micro-architecture design teams. This role requires deep expertise in compiler architecture, MLIR/LLVM, and C++ programming, along with significant industry experience in building production-quality software.

As part of Apple's commitment to enabling unique user experiences through Deep Learning technology, you'll be working in a creative environment that values partnership and cross-functional collaboration. The team's success stems from multifaceted individuals working together to push the boundaries of what's possible in mobile and device-driven AI applications.

The position offers competitive compensation including base pay range of $207,800 - $378,700, plus opportunities for stock awards, bonuses, and comprehensive benefits. This is a chance to contribute to revolutionary Apple products while working with cutting-edge AI acceleration technology.

Key responsibilities include compiler architecture development, hardware-software integration, production code development, and technical leadership. The role requires deep technical expertise combined with the ability to mentor engineers and collaborate across teams to deliver high-performance AI solutions for Apple's growing portfolio of products.