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Apple Machine Learning Compiler Engineer United States, California, Sunnyvale 296587844
06.05.2025
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As a Machine Learning Compiler Engineer, you will:• Work with experienced engineers to support the development and optimization of compilers for Apple's Neural Engine Accelerator, focusing on deep learning inference performance, scalability, and power efficiency• Collaborate with hardware and software teams to assist in bringing new hardware silicon to market, ensuring basic compiler support for new features• Assist in the design and implementation of compiler features, contributing to both technical improvements and alignment across the team• Help define approaches to compiler architecture and optimizations, learning how to balance trade-offs between performance, energy efficiency, and hardware constraints• Contribute to the performance optimization of AI workloads on Apple hardware, supporting the overall vision of the Apple Neural Engine team
- Bachelor's degree in Computer Science, Computer Engineering, or related field
- Solid understanding of compiler concepts such as program analysis, intermediate representation (IR), and programming languages, particularly with MLIR and LLVM
- Experience with compiler design, including front-end and middle-end optimizations, register allocation, and basic code generation
- Proficiency in C++ and an eagerness to work with large, complex software systems
- Strong problem-solving skills and the ability to troubleshoot issues in software development
- Experience in production software development or internships involving compiler or systems-level work
- Familiarity with AI and machine learning concepts, particularly neural networks and deep learning frameworks
- Knowledge of multi-threading, parallel computing, or distributed systems is a plus
- Interest in optimizing compilers for specialized hardware like SoCs or GPUs, and/or an eagerness to learn
- Familiarity with Just-in-Time (JIT) compilation techniques or dynamic optimization is a bonus
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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