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Apple Machine Learning Compiler Engineer 
United States, California, Sunnyvale 
583796922

18.11.2024
Description
We develop compiler technology to accelerate deep learning applications for Apple products. In this role, you will be empowered to:
Minimum Qualifications
  • In-depth working knowledge of compiler architecture, front-end and middle-end optimizations, scheduling, register allocation, back-end code generation
  • Experience with IR and/or programming language design, esp. experience with MLIR and LLVM
  • High level C++ programming expertise and experience working in a large and complex software stack with a consistent track record of building high quality production software
  • Bachelor’s degree in Computer Science, Computer Engineering or equivalent and 5+ years experience shipping products
Preferred Qualifications
  • Experience with compiling for distributed and parallel execution environment including distributed execution, shared memory, synchronization, etc.
  • Experience with neural networks inference on dedicated SoC or GPU is highly desired
  • Understanding of JIT techniques for dynamic optimization and execution of code
  • Ability to analyze and optimize program execution paths
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 $175,800 and $312,200, 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.