SW ML Optimization Engineer at Apple

Department: Hardware

Compensation · Listed in posting

$129,300 – $225,300

Location: Cupertino, California
Level: not_specified
Posted: Aug 3, 2026

Description

Apple is hiring a Performance Engineer to analyze and optimize AI/ML workloads across Apple Silicon compute engines, including GPU, ANE, and CPU. The role involves profiling bottlenecks, building microbenchmarks, tuning software implementations, developing future AI/ML workloads, prototyping performance experiments, and collaborating with silicon and software teams. Candidates need a relevant bachelor's degree or equivalent practical experience, GPU or parallel programming experience, performance-analysis tool experience, and development experience in Python, C, or C++.

Required Skills

GPU
Parallel programming
Performance analysis
Python
C/C++
Apple Silicon

Additional Information

Minimum Education: Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Electrical Engineering, or a related quantitative field, or equivalent practical experience.
Required Previous Experiences: Experience with GPU or parallel programming through coursework, personal projects, internships, or research.
Experience with profiling or performance analysis tools and basic performance analysis concepts.
Development experience in Python, C, or C++.
Preferred Qualifications: Solid foundation in mathematics, algorithms, and/or computer architecture fundamentals.
Experience writing or tuning compute kernels.
Exposure to ML frameworks such as PyTorch and AI/ML, graphics, or HPC workloads and benchmarks.
Coursework or projects involving parallel computing, numerical methods, signal processing, or performance optimization.
Interest in or exposure to drivers, firmware, compilers, or low-level libraries.
Interest in Apple Silicon and its frameworks.
Curiosity about hardware/software co-design and independent learning.
Strong communication and cross-team collaboration skills.

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