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Research Engineer, Systems ML - Compilers

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Meta

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Location:
United States , Sunnyvale

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

257000.00 USD / Year ▼
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Job Description:

We are seeking a software engineer to support the development of the compiler tool-chain for state-of-the-art deep learning hardware components optimized for AR/VR systems. You will be part of our efforts to architect, design and implement a clean slate compiler for this activity and will be part of a team that includes compiler, machine learning algorithms and software, firmware and ASIC experts. You will contribute to a full stack development effort compiling PyTorch models down to binaries for custom hardware accelerator blocks. This position is focused on the graph-level optimizations, including graph partitioning and memory planning, that are needed to efficiently deploy models on a variety of edge devices.

Job Responsibility:

  • Contribute to the development of machine-learning libraries, intermediate representations, export formats, and analysis tools
  • Design and implement effective compiler passes and optimizations in PyTorch's intermediate representations
  • Analyze and improve the efficiency, scalability, and stability of our toolchains, and make sure they can be extended to new use cases
  • Generalize contributions to be applicable to as many devices as possible in the Reality Labs portfolio
  • Interface with other compiler-focused teams to evaluate and incorporate their innovations, including direct interactions with the PyTorch and ExecuTorch teams
  • Conduct design and code reviews. Evaluate code performance, debug, diagnose and drive resolution of compiler and cross-disciplinary system issues

Requirements:

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 4+ 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
  • Experience working and communicating cross functionally in a team environment
  • Experience of developing in a mainstream machine-learning framework, e.g. PyTorch or TensorFlow

Nice to have:

  • PhD in Computer Science, Computer Engineering, or relevant technical field
  • 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 with model co-design for custom silicon targets
  • Experience using ExecuTorch (or TFLM/LiteRT) for deployment, or contributing directly to any of the existing delegates
  • First author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)
What we offer:
  • bonus
  • equity
  • benefits

Additional Information:

Job Posted:
February 20, 2026

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