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Software Engineer, Systems ML - Compilers / Backend

Meta
Sunnyvale, USA
Full-time
Entry · 2+ years experience
Onsite
USD 154003-217000 yearly / year
Discovered 1 months ago
PythonCC++PyTorchMLIRTensorflow

Full Job Posting

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
  • Work with hardware architects to co-design hardware features that maximize performance, power efficiency and programmability
  • Contribute to the development of machine-learning libraries, intermediate representations, export formats, and analysis tools
  • Analyze and improve the efficiency, scalability, and stability of our toolchains. Optimize and tune kernels and compiled code to achieve latency targets for ML inference
  • Conduct design and code reviews. Evaluate code performance, debug, diagnose and drive resolution of compiler and cross-disciplinary system issues
  • Interface with other compiler-focused teams to evaluate and incorporate their innovations and vice versa

Minimum Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 2+ years experience developing compilers, toolchains, 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 (GPU, TPU, custom AI ASICs)

Preferred Qualifications

  • Experience of developing in a mainstream machine-learning framework, e.g. PyTorch, MLIR, Tensorflow or Caffe
  • Experience with machine-code generation or compiler back-ends for on-device inference workloads
  • Experience working and communicating cross functionally in a team environment
  • Experience working on and contributing to an active compiler toolchain codebase, such as LLVM, MLIR, GCC, MSVC, Glow
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, recurrent networks, etc
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience developing high-performance kernels or runtime components and tuning them for inference specific accelerator platforms

Compensation

  • $154,003/year - $217,000/year; Country: US; Bonus eligible; Equity eligible

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