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Apple

engineering opportunity

Machine Learning Compiler Engineer

You will develop high-performance, low-power AI solutions for Apple products by working on the Apple Neural Engine compiler. This role involves collaborating in a creative environment to build groundbreaking technologies that shape the future of computing.

Sunnyvale, California, United StatesonsiteFULL_TIME

Posted

About the role

What will you do at Apple?

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?

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

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

Which skills does this role require?

Machine LearningCompiler DesignMLIRLLVMC++Program AnalysisIntermediate RepresentationRegister AllocationCode GenerationNeural Network InferenceSoC OptimizationGPU OptimizationDeep Learning FrameworksJIT CompilationParallel ComputingCompiler EngineerApple Neural EngineANEVision ProiPhoneiPadMacArtificial IntelligenceHardware OptimizationIRCompiler ArchitectureSoftware SystemsDistributed SystemsParallel ExecutionHeterogeneous ComputingShared MemorySoCGPUDynamic Optimization

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Role information can change. Confirm current details on the original application page.

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