<p>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. This position is focused on the graph-level optimizations, including graph partitioning and memory planning, that are needed to efficiently deploy models on a variety of edge devices.</p> <p>Minimum Qualifications</p> <ul> <li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience </li><li>4+ years experience developing compilers, runtime, or similar code optimization software </li><li>Experience in software design and programming experience in Python and/or C/C++ for development, debugging, testing and performance analysis </li><li>Experience in AI framework development or accelerating models on hardware architectures </li><li>Experience working and communicating cross functionally in a team environment </li><li>Experience of developing in a mainstream machine-learning framework, e.g. PyTorch or TensorFlow </li></ul> <p>Preferred Qualifications</p> <ul> <li>PhD in Computer Science, Computer Engineering, or relevant technical field </li><li>Experience with machine-code generation or compiler back-ends </li><li>Experience working on and contributing to an active compiler toolchain codebase, such as LLVM, MLIR, GCC, MSVC, Glow </li><li>Experience with model co-design for custom silicon targets </li><li>Experience using ExecuTorch (or TFLM/LiteRT) for deployment, or contributing directly to any of the existing delegates </li><li>First author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL) </li><li>Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) </li><li>Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) </li><li>Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies </li></ul> <p>Responsibilities</p> <ul> <li>Contribute to the development of machine-learning libraries, intermediate representations, export formats, and analysis tools </li><li>Design and implement effective compiler passes and optimizations in PyTorch's intermediate representations </li><li>Analyze and improve the efficiency, scalability, and stability of our toolchains, and make sure they can be extended to new use cases </li><li>Generalize contributions to be applicable to as many devices as possible in the Reality Labs portfolio </li><li>Interface with other compiler-focused teams to evaluate and incorporate their innovations, including direct interactions with the PyTorch and ExecuTorch teams </li><li>Conduct design and code reviews. Evaluate code performance, debug, diagnose and drive resolution of compiler and cross-disciplinary system issues </li></ul> <p>About Meta</p> <p>Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.</p> <p>Equal Employment Opportunity</p> <p>Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.</p> <p>Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.</p>