Apple
GPU ML Engineer
$150K–$278K
Cupertino, California · Full-time · Posted Jul 22, 2026
- Experience
- 2+ years.
- Education
- Technical BS/MS degree or equivalent experience.
About the job
Develop and optimize GPU compute kernels and APIs that accelerate machine-learning and other compute workloads across Apple products and hardware.
What you'll do
- Develop optimized GPU compute kernels for machine learning, image processing, linear algebra, and computer vision; define and implement Metal Performance Shaders APIs.
- Analyze and optimize compiler and kernel performance across hardware families, and tune GPU-accelerated compute across products.
- Collaborate with platform architecture and hardware teams on GPU compute roadmaps and performance analysis of future silicon.
What they ask for
- Technical BS/MS degree or equivalent experience.
- 2+ years of experience.
- Experience developing, maintaining, and optimizing GPU compute kernel frameworks.
- Experience with system-level programming, computer architecture, and high-performance parallel or GPU programming.
Nice to have
- Good understanding of machine-learning fundamentals.
- Background in mathematics, including linear algebra and numerical methods.
Pay
$150,400 and $277,600 (base salary)
Tools
Metal Performance Shaders
AI focus
Accelerate machine-learning networks on Apple Silicon through GPU kernels and performance optimization.
Model-written summary · the original posting is authoritative