Machine Learning Compiler Engineer

About the role

As a Machine Learning Compiler Engineer, you will: - Architect and develop the compiler for Apple's proprietary Neural Engine Accelerator, optimizing it for deep learning inference with a focus on performance, scalability, and power efficiency - Collaborate with cross-functional teams, including hardware and platform architecture teams, to bring new hardware silicon to market and ensure compiler support for next-gen features - Lead the design and implementation of complex compiler features, advancing both technical capabilities and strategic alignment across the team and company - Mentor and guide emerging and mid-level engineers, sharing expertise to foster their growth in compiler technologies and ensuring high standards of code quality, innovation, and efficiency - Play an instrumental role in defining new compiler architecture approaches and optimizations, balancing trade-offs between performance, energy efficiency, and hardware constraints - Identify and drive initiatives that will improve the scalability and general performance of AI workloads on Apple hardware, contributing to the vision and roadmap of the Apple Neural Engine team - Cultivate a culture of learning and collaboration, encouraging innovation, and supporting engineers in their development, with the potential to expand influence across the organization