Deep Learning Compiler Engineer

Join Apple's cutting-edge AI team as a Deep Learning Compiler Engineer working on the Apple Neural Engine (ANE) team. This role offers an exceptional opportunity to shape the future of AI computing across iconic Apple products including Vision Pro, iPhone, iPad, and Mac.

As a key member of the team, you'll be responsible for architecting and developing compilers for Apple's proprietary Neural Engine Accelerator, with a focus on optimizing deep learning inference for performance, scalability, and power efficiency. You'll work closely with hardware and platform architecture teams to support next-generation features and bring new silicon to market.

The position requires a strong background in compiler design, with expertise in front-end and middle-end optimizations, register allocation, and back-end code generation. You'll need proficiency in C++ and experience with MLIR and LLVM. The role offers a competitive base salary range of $143,100 to $264,200, plus additional benefits including stock options, comprehensive healthcare, and education reimbursement.

This is an exciting opportunity for someone passionate about AI and hardware optimization to work in a creative, collaborative environment. You'll be at the forefront of developing groundbreaking technologies that directly impact millions of users worldwide. The role combines technical leadership with strategic thinking, as you'll help define new compiler architecture approaches while balancing performance, energy efficiency, and hardware constraints.

Apple's commitment to innovation, coupled with its resources and scale, makes this an ideal position for someone looking to make a significant impact in the field of AI and hardware optimization. You'll be working with world-class teams in an environment that values creativity, collaboration, and technical excellence.