Meta
Software Engineer, Systems ML - Compilers
$184K–$257K
Sunnyvale, CA +3 · Full-time · Posted Sep 17, 2026
- Location
- Sunnyvale, CA
Redmond, WA
Austin, TX
New York, NY - Experience
- 3+ years developing compilers, toolchains, or code optimization software; no alternatives stated.
- Education
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
About the job
Develop compiler infrastructure and toolchains that compile PyTorch models into optimized binaries for custom AI accelerators in AR/VR and other edge devices.
What you'll do
- Architect and implement compiler infrastructure, including intermediate representations, optimization passes, and code generation for custom accelerators.
- Co-design compiler features with hardware teams and improve toolchain performance, power efficiency, scalability, and stability.
- Lead technical planning and cross-team delivery, review code and designs, and mentor engineers.
What they ask for
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
- 3+ years of experience developing compilers, toolchains, or code optimization software.
- Experience with LLVM, MLIR, or similar compiler frameworks; intermediate representations and optimization passes; and C++ systems programming.
- Experience with GPU, TPU, or custom AI accelerator architectures.
Nice to have
- Experience with PyTorch or TensorFlow at the system level, ExecuTorch, TensorRT, XLA, or similar ML compilation and deployment frameworks.
- Experience with hardware-software co-design, edge-device power and performance optimization, compiler back-ends, AI-assisted workflow improvement, and responsible AI practices.
Pay
$183,997/year to $257,000/year + bonus + equity (base salary range; bonus and equity amounts not specified)
Tools
LLVM, MLIR, C++, PyTorch, TensorFlow, ExecuTorch, TensorRT, XLA
AI focus
Build compiler toolchains that compile ML models for custom AI accelerators; the posting also asks for ongoing AI skill development, AI-tool workflow integration, and responsible AI practices.
Model-written summary · the original posting is authoritative