> Markdown version of [/jobs/ext/2194703-machine-learning-compiler-engineer](https://www.wearedevelopers.com/jobs/ext/2194703-machine-learning-compiler-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Compiler Engineer - **Company:** Apple Firmenprofil - **Location:** BAYERN Arnulfstr, Germany - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Apple Products, Artificial Neural Networks, C++ (Programming Language), Code Generation, Computer Engineering, Machine Learning, Program Analysis, Software Systems, Multithreading, Graphics Processing Unit (GPU), Deep Learning, Information Technology, Front End Software Development, Programming Languages - **Published:** August 23, 2026 - **Apply:** https://www.arbeitsagentur.de/jobsuche/jobdetail/10001-1003536578-S ## About the Role ### Summary At Apple, we're on the cutting edge of delivering transformative experiences through Artificial Intelligence. If you're passionate about pushing the boundaries of AI and hardware optimization, we want you to join our team! ### Description As a Machine Learning Compiler Engineer on the Apple Neural Engine (ANE) team, you'll work to bring high-performance, low-power AI solutions to life on iconic Apple products like the Vision Pro, iPhone, iPad, Mac, and more. This is a dynamic opportunity to work with us in a creative, collaborative environment while developing groundbreaking technologies that will shape the future of computing. Are you ready to help us deliver the next groundbreaking Apple products? ### Responsibilities - Architect and develop the compiler for Apple's proprietary Neural Engine Accelerator, optimizing it for deep learning inference with a focus on performance, scalability, and power efficiency - Collaborate with cross-functional teams, including hardware and platform architecture teams, to bring new hardware silicon to market and ensure compiler support for next-gen features - Lead the design and implementation of complex compiler features, advancing both technical capabilities and strategic alignment across the team and company - Play an instrumental role in defining new compiler architecture approaches and optimizations, balancing trade-offs between performance, energy efficiency, and hardware constraints - Identify and drive initiatives that will improve the scalability and general performance of AI workloads on Apple hardware, contributing to the vision and roadmap of the Apple Neural Engine team ### Minimum Qualifications - Bachelor's degree in Computer Science, Computer Engineering, or a related field with 3 years of relevant experience - Experience with program analysis and IR (Intermediate Representation), or programming language design, particularly with MLIR and LLVM - Proven expertise in compiler design and architecture, including deep experience with front-end and middle-end optimizations, register allocation, and back-end code generation - High-level proficiency in C++ and experience working with large, complex software systems - Proficiency in English ### Preferred Qualifications - Master's or PhD degree in Computer Science, Computer Engineering, or a related field - Demonstrated ability to ship high-quality production software - Strong communication skills and ability to collaborate effectively across teams and functions - Experience optimizing compilers for distributed, parallel, or heterogeneous execution environments, with a solid understanding of shared memory, synchronization, and multi-threading techniques - Expertise in neural network inference on specialized SoCs or GPUs, and knowledge of deep learning frameworks and tools - Familiarity with Just-in-Time (JIT) compilation and dynamic optimization techniques for real-time code execution Machine Learning Compiler Engineer (M, F, D) #200677570 ## Related Videos - [Harnessing Apple Intelligence: Live Coding with Swift for iOS](https://www.wearedevelopers.com/videos/1515-harnessing-apple-intelligence-live-coding-with-swift-for-ios) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Lessons from Steve Jobs - Learnings from the Past for the Future](https://www.wearedevelopers.com/videos/1021-lessons-from-steve-jobs-learnings-from-the-past-for-the-future) - [Asynchronicity and multithreading in C#](https://www.wearedevelopers.com/videos/447-asynchronicity-and-multithreading-in-c) - [Xcode development redefAIned](https://www.wearedevelopers.com/videos/100195-xcode-development-redefained) - [Edge AI on iOS: Beyond the Cloud, Designing the Next Generation of Intelligent On-Device Apps](https://www.wearedevelopers.com/videos/100225-edge-ai-on-ios-beyond-the-cloud-designing-the-next-generation-of-intelligent-on-device-apps) ## Related Articles - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 118 - not a total recall](https://www.wearedevelopers.com/magazine/452-dev-digest-118-not-a-total-recall) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)