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 platformsMeta builds technologies that help people connect, find communities, and grow businesses. 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 versaBachelor'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) Experience of developing in a mainstream machine-learning framework, e.g.