ML Compute Acceleration Engineer

Apple • Cupertino, CA

77d

About The Position

Apple's Compute Frameworks team in GPU, Graphics and Displays org provides a suite of high-performance data parallel algorithms for developers inside and outside of Apple for iOS, macOS and Apple TV. Our efforts are currently focused in the key areas of linear algebra, image processing, machine learning, along with other projects of key interest to Apple. We are always looking for exceptionally dedicated individuals to grow our outstanding team to lay the foundation of technologies like Apple Intelligence. Our team is seeking extraordinary machine learning and GPU programming engineers who are passionate about providing robust compute solutions for accelerating machine learning networks on Apple Silicon using GPU and Neural Engine. Role has the opportunity to influence the design of compute and programming models in next generation GPU and Neural Engine architectures.

Requirements

• Background in mathematics, including linear algebra and numerical methods.
• Strong communication and collaboration skills.
• Strong background of building high performance, production quality software on schedule.
• Experience with compiler technologies.

Nice To Haves

• Experience with adding computational graph support, runtime or device backend to Machine learning libraries (TensorFlow, PyTorch or JAX) support is a plus.

Responsibilities

• Provide robust compute solutions for accelerating machine learning networks on Apple Silicon using GPU and Neural Engine.
• Influence the design of compute and programming models in next generation GPU and Neural Engine architectures.

What This Job Offers

• Industry: Computer and Electronic Product Manufacturing
• Number of Employees: 5,001-10,000 employees