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 Py Torch 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 Py Torch, Tensor Flow, 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 Whats App 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.
For those who live in or expect to work from California if hired for this position, please click here for additional information.
United States of America: $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.

Equal Employment Opportunity:

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.
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.
Apply for this job
Take the first step toward a rewarding career at Meta.
Recruiters can view your conversations with AI. Using AI is optional and does not impact the outcome of your application process.Learn more about AI usage and settings.
Sign up
to ask follow-up questions