Apple

On-Device ML Compiler Engineer, Model Compilation, Graphics, Games and Machine Learning

Apple
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2 months ago
Cupertino, CA, USAMid Level / Senior
H1B sponsor

Responsibilities

  • Develop and improve ML compiler infrastructure focused on model compilation and runtime execution.
  • Use the MLIR-based compiler stack to target Apple’s Neural Engine, GPU, and CPU.
  • Collaborate with model authoring, runtime, and performance teams to maximize hardware utilization.
  • Support model optimization, transformation, execution, debugging, profiling, and analysis across Apple devices.
  • Write or improve kernels for machine learning model execution.

Requirements

  • 3–5 years of experience working on MLIR-based compilers.
  • Familiarity with common machine learning model architectures, execution schemes, and operations.
  • Familiarity with C++.
  • Familiarity with PyTorch or related training frameworks.
  • Preferred: familiarity with Swift.
  • Preferred: familiarity with programming paradigms for GPU, CPU, and Neural Engine environments.
  • Preferred: familiarity with writing kernels for machine learning model execution.

Tech Stack

Categories

Apple

About Apple

10,000+ employees

Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.

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