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Apple ML Compute Acceleration Engineer United States, California, Cupertino 551975940
02.02.2025
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Description
- Responsibilities:- Adding optimizations in machine learning computation graph.- Defining and implementing APIs in Metal Performance Shaders Graph, investigating new algorithms.- Performing in-depth analysis, compiler and kernel level optimizations to ensure the best possible performance across hardware families.- Tune GPU and Neural Engine accelerated compute across products.- Intended deliverables:- GPU Compute acceleration technology.- Optimized compute graphs across products.
Minimum Qualifications
- Proven programming and problem-solving skills.
- Good understanding of machine learning fundamentals.
- GPU compute programming models & optimization techniques.
- GPU compute framework development, maintenance, and optimization.
- Experience with system level programming and computer architecture.
- Experience with high performance parallel programming, GPU programming or LLVM/MLIR compiler infrastructure is a plus.
Preferred Qualifications
- Background in mathematics, including linear algebra and numerical methods.
- Strong communication and collaboration skills.
- Strong background of building high performance, production quality software on schedule.
- Experience with compiler technologies.
- Experience with adding computational graph support, runtime or device backend to Machine learning libraries (TensorFlow, PyTorch or JAX) support is a plus.
Pay & Benefits
- At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $143,100 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
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