Research Engineer, Systems ML - Compilers - Reality Labs Silicon AI Team

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.Research Engineer, Systems ML - Compilers - Reality Labs Silicon AI Team Responsibilities:Contribute to the development of machine-learning libraries, intermediate representations, export formats, and analysis toolsDesign and implement effective compiler passes and optimizations in PyTorch's intermediate representationsAnalyze and improve the efficiency, scalability, and stability of our toolchains, and make sure they can be extended to new use casesGeneralize contributions to be applicable to as many devices as possible in the Reality Labs portfolioInterface with other compiler-focused teams to evaluate and incorporate their innovations, including direct interactions with the PyTorch and ExecuTorch teamsConduct design and code reviews. Evaluate code performance, debug, diagnose and drive resolution of compiler and cross-disciplinary system issuesMinimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience4+ years experience developing compilers, runtime, or similar code optimization softwareExperience in software design and programming experience in Python and/or C/C++ for development, debugging, testing and performance analysisExperience in AI framework development or accelerating models on hardware architecturesExperience working and communicating cross functionally in a team environmentExperience of developing in a mainstream machine-learning framework, e.g. PyTorch or TensorFlowPreferred Qualifications:PhD in Computer Science, Computer Engineering, or relevant technical fieldExperience with machine-code generation or compiler back-endsExperience working on and contributing to an active compiler toolchain codebase, such as LLVM, MLIR, GCC, MSVC, GlowExperience with model co-design for custom silicon targetsExperience using ExecuTorch (or TFLM/LiteRT) for deployment, or contributing directly to any of the existing delegatesFirst author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesAbout Meta: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.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.$88.46/hour to $257,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.