ML Compiler Architect for Neural Engine

Apple Inc.; Sunnyvale (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Apple Inc. in Sunnyvale, CA is seeking a Machine Learning Compiler Engineer to advance the Neural Engine compiler stack. You will architect and optimize for deep learning inference, collaborating with hardware and platform teams to enable next‑gen features on Apple devices.

Ideal candidates bring strong C++, compiler design expertise, and hands‑on experience with MLIR/LLVM, IR analysis, and robust software architecture across large codebases.

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, or related field with 3 years of experience.
• Experience with program analysis and IR, MLIR and LLVM.
• Expertise in compiler design, including optimizations and code generation.
• Strong C++ skills and large software systems experience.

Responsibilities

• Architect and develop the compiler for Apple's Neural Engine Accelerator.
• Collaborate with hardware/platform teams to support new features.
• Lead design and implementation of complex compiler features.
• Define new compiler architectures balancing performance, energy, and hardware constraints.
• Drive AI workload performance improvements on Apple hardware.

Skills

MLIR/LLVM

Compiler design

C++

Program analysis

Register allocation

Education

Bachelor's degree in CS/CE

Tools

MLIR

LLVM

Job description

Apple Inc. in Sunnyvale, CA is seeking a Machine Learning Compiler Engineer to advance the Neural Engine compiler stack. You will architect and optimize for deep learning inference, collaborating with hardware and platform teams to enable next‑gen features on Apple devices.

Ideal candidates bring strong C++, compiler design expertise, and hands‑on experience with MLIR/LLVM, IR analysis, and robust software architecture across large codebases.