This role pays more than
58%
of similar roles. Most pay
$185,312–$254,750
— the shaded band above.
At the midpoint, this role pays about
$214k
versus about
$220k
for comparable roles.
Based on 240 similar postings.
Employer
About Apple Inc
Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software
Apple Inc currently has
1984 open roles
on FindRole.
Listed pay typically runs
$175,000–$277,600
across 1590 roles with salary data.
The On-Device ML Compiler Engineer joins the On-Device Machine Learning team to build essential infrastructure for running advanced models locally across various devices. This role focuses on model compilation and core runtime execution, where you will work with hardware, software, and performance teams to optimize execution by leveraging the latest features in the OS and drivers. You will own pieces of the compiler stack to enable heterogeneous compute across the ecosystem, from resource-constrained devices like Apple Watch to high-end Macs. The role involves proposing upstream changes to an MLIR-based compiler stack to target the neural engine, GPU, and CPU. Required skills include C++, PyTorch or related training frameworks, and experience with MLIR-based compilers. Preferred qualifications include Swift, writing kernels for model execution, and knowledge of programming paradigms for the GPU, CPU, and Neural Engine.
MLIR
C++
PyTorch
Swift
GPU
Neural Engine
Compiler Optimization
Machine Learning
Model Compression
System Software Engineering
Profiling
Debugging
Benchmarking