ML Compute Acceleration Engineer

Apple's Compute Frameworks team in GPU, Graphics and Displays org is seeking an exceptional ML Compute Acceleration Engineer to join their high-performance computing initiative. This role focuses on accelerating machine learning networks on Apple Silicon using GPU and Neural Engine technologies. You'll be working with cutting-edge technology, influencing next-generation GPU and Neural Engine architectures, and contributing to Apple's machine learning infrastructure.

The position offers a unique opportunity to work on crucial projects that power Apple Intelligence across iOS, macOS, and Apple TV platforms. You'll be responsible for optimizing computation graphs, implementing sophisticated APIs, and ensuring peak performance across Apple's hardware families. The role requires expertise in GPU computing, machine learning, and system-level programming.

As part of the team, you'll collaborate on developing GPU Compute acceleration technology, implementing Apple Intelligence features, and optimizing compute graphs across products. The ideal candidate combines strong technical skills in machine learning and GPU programming with excellent problem-solving abilities and communication skills.

This is an exceptional opportunity for someone passionate about high-performance computing and machine learning to make a significant impact on Apple's next-generation products. You'll be working with state-of-the-art technology while contributing to the foundation of Apple's machine learning capabilities. The role offers competitive compensation, comprehensive benefits, and the chance to work with some of the industry's best talents in a collaborative environment focused on innovation and excellence.