Software Engineer, LLVM Compiler

Summary:We are seeking a software engineer to join the MTIA LLVM Compiler team, working on the compiler toolchain for Meta's custom silicon AI accelerators. You will be part of our efforts to architect, design, and implement a production compiler stack targeting next-generation deep learning hardware. The team includes compiler, machine learning, firmware, and ASIC experts, and the work spans from compiling PyTorch models through LLVM-based intermediate representations down to optimized binaries for hardware accelerator blocks.Required Skills:Software Engineer, LLVM Compiler Responsibilities:Design and implement LLVM compiler passes, including optimization, lowering, and code generation stages targeting ML accelerator backendsAnalyze and improve compiler-generated code quality through profiling, benchmarking, and performance instrumentation across ML workloadsDevelop and maintain LLVM IR transformations that enable efficient mapping of ML computation graphs to hardware execution unitsCollaborate with hardware architecture and ML framework teams to define compiler interfaces and ensure correctness of generated code on custom silicon targetsIdentify and resolve correctness and performance regressions through systematic debugging, root cause analysis, and targeted fixes in the compiler pipelineOwn the technical design of compiler components, evaluating trade-offs between compilation time, runtime performance, and code size for ML inference and training workloadsBuild and improve automated testing frameworks and benchmarking infrastructure to validate compiler correctness and track performance across hardware generationsDrive adoption of compiler best practices and coding standards across the team, contributing to documentation and engineering process improvementsPartner with ML engineers and researchers to understand model-level performance requirements and translate them into actionable compiler optimization strategiesMentor other engineers on compiler internals, LLVM architecture, and ML-specific code generation techniquesMinimum Qualifications:Minimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience5+ years of experience developing compilers or code optimization software, with demonstrated technical leadershipProficiency in C++ or Rust with experience in large-scale software development, debugging, testing, and performance analysisExperience working within the LLVM/MLIR compiler infrastructure or a comparable production compiler codebase (e.g., GCC, MSVC)Track record of designing and delivering significant compiler features or optimization passes end-to-endExperience driving cross-team technical initiatives and influencing roadmap decisionsExperience crossing multi-disciplinary boundaries (hardware, ML frameworks, runtime systems) to drive optimal system-level solutionsExperience in AI framework development or accelerating deep learning models on hardware architecturesDemonstrated ability to mentor engineers and raise the technical bar of a teamPreferred Qualifications:Preferred Qualifications:Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesExperience working closely with hardware architectures such as SIMD, GPU, RISC-V, and AI acceleratorsFamiliarity with a mainstream ML framework such as PyTorch, TensorFlow, or MLIR-based ML toolchainsExperience contributing to the upstream LLVM or MLIR projectsExperience with deep learning model compilation, graph compilers, or ML-specific optimization techniques (e.g., operator fusion, tiling, quantization-aware compilation)Experience with hardware-specific optimization for accelerators, GPUs, or DSPsDemonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Experience working and communicating cross-functionally in a team environmentExperience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)Experience with machine-code generation and back-end compiler optimizations such as instruction selection, register allocation, and instruction schedulingPublic Compensation:$154,003/year to $217,006/year + bonus + equity + benefitsIndustry: InternetEqual Opportunity: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.