Software Engineer, Systems ML - Compilers jobs in United States
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Meta · 1 day ago

Software Engineer, Systems ML - Compilers

Meta builds technologies that help people connect, find communities, and grow businesses. They are seeking a software engineer to support the development of the compiler tool-chain for deep learning hardware components optimized for AR/VR systems.

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Comp. & Benefits

Responsibilities

Analyze and design effective compiler passes and optimizations. Implement and/or enhance code generation targeting machine learning accelerators
Work with algorithm research teams 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

Qualification

Compiler developmentPythonC/C++AI framework developmentMachine learning algorithmsLLVMPyTorchCode reviewsPerformance analysisTeam collaboration

Required

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
2+ years experience developing compilers, runtime, or similar code optimization software
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 models on hardware architectures

Preferred

Experience working and communicating cross functionally in a team environment
Experience with machine-code generation or compiler back-ends
Experience working on and contributing to an active compiler toolchain codebase, such as LLVM, MLIR, GCC, MSVC, Glow
Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, recurrent networks, etc
Experience of developing in a mainstream machine-learning framework, e.g. PyTorch, MLIR, Tensorflow or Caffe

Benefits

Bonus
Equity
Benefits

Company

Meta's mission is to build the future of human connection and the technology that makes it possible.

Funding

Current Stage
Late Stage

Leadership Team

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Kathryn Glickman
Director, CEO Communications
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Christine Lu
CTO Business Engineering NA
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