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?
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