GPU ML Engineer

Apple • Cupertino, CA

19h

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. 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. This role has the opportunity to influence the design of compute and programming models in next generation GPU architectures.

Requirements

• Technical BS/MS degree and Equivalent experience.
• 2 plus years of experience GPU compute kernel framework development, maintenance, and optimization.
• Experience with system level programming and computer architecture.
• Experience with high performance parallel programming.
• GPU programming experience.

Nice To Haves

• Excellent programming and problem-solving skills.
• Strong communication skills.
• Strong collaboration skills.
• Good understanding of machine learning fundamentals.
• Background in mathematics, including linear algebra and numerical methods is a plus.

Responsibilities

• Develop, maintain, and optimize GPU compute kernel frameworks.
• Provide robust compute solutions for accelerating machine learning networks on Apple Silicon.
• Influence the design of compute and programming models in next generation GPU architectures.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Associate degree