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Software Engineer, ML Compiler
1 month ago
Software Engineer, ML Compiler Responsibilities:
- Analyze and design effective compiler passes and optimizations. Research, implement, and/or enhance code generation targeting machine learning accelerators.
- Investigate new techniques to map ML graphs to hardware implementations, model data-flows, create cost-benefit analysis and estimate silicon power and performance.
- Contribute to the development of machine-learning libraries, intermediate representations, export formats, and analysis tools.
- Conduct design and code reviews. Evaluate code performance, debug, diagnose and drive resolution of compiler and cross-disciplinary system issues.
- Analyze and improve the efficiency, scalability, and stability of our toolchains.
- Interface with other compiler-focused teams to evaluate and incorporate their innovations and vice versa.
Minimum Qualifications:
- Experience in software design and programming experience in Python and/or C/C++ for development, debugging, testing and performance analysis.
- Experience in AI framework development or accelerating deep learning models on hardware architectures.
- Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications:
- 1+ years experience writing compilers or similar code optimization software.
- Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, transformers, LLMs, recurrent networks, etc.
- Experience working on and contributing to an active compiler toolchain codebase, such as LLVM, MLIR, GCC, MSVC, Glow.
- Experience of developing in a mainstream machine-learning framework, e.g. PyTorch, Tensorflow or Caffe.
- Experience with machine-code generation/compiler back-ends.
- Experience working and communicating cross functionally in a team environment.
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