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.Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 2+ 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 in deep learning algorithms and techniques, e.g., convolutional neural networks, recurrent networks, etc. Experience working on and contributing to an active compiler toolchain codebase, such as LLVM, MLIR, GCC, MSVC, Glow. Experience with machine-code generation or compiler back-ends. Experience working and communicating cross functionally in a team environment. Experience of developing in a mainstream machine-learning framework, e.g. PyTorch, MLIR, Tensorflow or Caffe.