Software Engineer, LLVM Compiler

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.

Software Engineer, LLVM Compiler Responsibilities:

• Design, implement, and optimize LLVM-based code generation targeting Meta's custom machine learning accelerators
• Apply compiler techniques (JIT compilation, dynamic code generation, optimization passes) to build high-performance simulation infrastructure for accelerator hardware
• Develop and enhance compiler passes, optimizations, and transformations within the LLVM/MLIR infrastructure to improve performance, correctness, and compilation speed
• Contribute to the development of intermediate representations, compiler libraries, and analysis tools in the LLVM/MLIR ecosystem
• Conduct design and code reviews
• evaluate generated code quality, debug, diagnose, and drive resolution of compiler and cross-disciplinary system issues
• Analyze and improve the efficiency, scalability, and stability of the compiler toolchain
• Interface with other compiler-focused teams (both internal and open-source LLVM community) to evaluate and incorporate innovations
• Mentor other engineers on compiler engineering best practices and improving engineering quality across the team
  
  

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 5 years of experience developing compilers or code optimization software, with demonstrated technical leadership
• Proficiency in C or Rust with experience in large-scale software development, debugging, testing, and performance analysis
• Experience 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-end
• Experience driving cross-team technical initiatives and influencing roadmap decisions
• Experience crossing multi-disciplinary boundaries (hardware, ML frameworks, runtime systems) to drive optimal system-level solutions
• Experience in AI framework development or accelerating deep learning models on hardware architectures
• Demonstrated ability to mentor engineers and raise the technical bar of a team
  
  

Preferred Qualifications:

• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience contributing to the upstream LLVM or MLIR projects
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience working closely with hardware architectures such as SIMD, GPU, RISC-V, and AI accelerators
• Familiarity with a mainstream ML framework such as PyTorch, TensorFlow, or MLIR-based ML toolchains
• Experience with hardware-specific optimization for accelerators, GPUs, or DSPs
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Experience working and communicating cross-functionally in a team environment
• Experience with machine-code generation and back-end compiler optimizations such as instruction selection, register allocation, and instruction scheduling
• Experience with deep learning model compilation, graph compilers, or ML-specific optimization techniques (e.g., operator fusion, tiling, quantization-aware compilation)
  
  

About 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.

$154,003/year to $217,000/year bonus equity benefits

Individual 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.