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Software Engineer, Systems ML - Compilers

Meta· Reality Labs Silicon
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Hybrid (Sunnyvale, CA)$184k - $257kFull-timePosted 3w ago

About the role

Role focused on developing a clean slate compiler for state-of-the-art deep learning hardware components optimized for AR/VR systems. Lead architecture and implementation of ML compiler infrastructure, target custom accelerators, and deliver PyTorch model compilation to binaries.

Responsibilities

  • Lead the architecture and implementation of ML compiler infrastructure, including intermediate representations (IR), optimization passes, and code generation targeting custom AI accelerators
  • Design and implement compiler transformations informed by hardware architecture constraints for GPU, TPU, and edge AI accelerators
  • Drive the development of LLVM/MLIR-based toolchains for compiling PyTorch models to optimized binaries for custom silicon
  • Work with hardware architects to co-design compiler features that maximize performance, power efficiency, and programmability for edge devices
  • Analyze and improve the efficiency, scalability, and stability of compiler toolchains, ensuring they can be extended to new hardware targets
  • Lead technical roadmapping for compiler infrastructure initiatives, coordinate execution across teams, and mentor engineers on compiler design patterns
  • Conduct design and code reviews, evaluate code performance, and drive resolution of compiler and cross-disciplinary system issues
  • Interface with other compiler-focused teams (PyTorch, ExecuTorch) to evaluate and incorporate innovations

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 3+ years of experience in developing compilers, toolchains, or code optimization software
  • Experience with LLVM, MLIR, or similar compiler infrastructure frameworks
  • Experience in designing intermediate representations and implementing compiler optimization passes
  • Experience with hardware architectures such as GPUs, TPUs, or custom AI accelerators
  • Experience in software development using C++ for compiler and systems-level programming
  • Experience leading end-to-end technical design and delivery of compiler infrastructure initiatives across multiple teams

Skills

Required:Compiler infrastructureLLVM/MLIRC++Hardware architectures
Last updated Oct 23, 2026. Interested? Apply on the company site.

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