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:
1. Design and implement LLVM compiler passes, including optimization, lowering, and code generation stages targeting ML accelerator backends
2. Analyze and improve compiler-generated code quality through profiling, benchmarking, and performance instrumentation across ML workloads
3. Develop and maintain LLVM IR transformations that enable efficient mapping of ML computation graphs to hardware execution units
4. Collaborate with hardware architecture and ML framework teams to define compiler interfaces and ensure correctness of generated code on custom silicon targets
5. Identify and resolve correctness and performance regressions through systematic debugging, root cause analysis, and targeted fixes in the compiler pipeline
6. Own the technical design of compiler components, evaluating trade-offs between compilation time, runtime performance, and code size for ML inference and training workloads
7. Build and improve automated testing frameworks and benchmarking infrastructure to validate compiler correctness and track performance across hardware generations
8. Drive adoption of compiler best practices and coding standards across the team, contributing to documentation and engineering process improvements
9. Partner with ML engineers and researchers to understand model-level performance requirements and translate them into actionable compiler optimization strategies
10. Mentor other engineers on compiler internals, LLVM architecture, and ML-specific code generation techniques
**Minimum Qualifications:**
Minimum Qualifications:
11. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
12. 5+ years of experience developing compilers or code optimization software, with demonstrated technical leadership
13. Proficiency in C++ or Rust with experience in large-scale software development, debugging, testing, and performance analysis
14. Experience working within the LLVM/MLIR compiler infrastructure or a comparable production compiler codebase (e.g., GCC, MSVC)
15. Track record of designing and delivering significant compiler features or optimization passes end-to-end
16. Experience driving cross-team technical initiatives and influencing roadmap decisions
17. Experience crossing multi-disciplinary boundaries (hardware, ML frameworks, runtime systems) to drive optimal system-level solutions
18. Experience in AI framework development or accelerating deep learning models on hardware architectures
19. Demonstrated ability to mentor engineers and raise the technical bar of a team
**Preferred Qualifications:**
Preferred Qualifications:
20. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
21. Experience working closely with hardware architectures such as SIMD, GPU, RISC-V, and AI accelerators
22. Familiarity with a mainstream ML framework such as PyTorch, TensorFlow, or MLIR-based ML toolchains
23. Experience contributing to the upstream LLVM or MLIR projects
24. Experience with deep learning model compilation, graph compilers, or ML-specific optimization techniques (e.g., operator fusion, tiling, quantization-aware compilation)
25. Experience with hardware-specific optimization for accelerators, GPUs, or DSPs
26. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
27. Experience working and communicating cross-functionally in a team environment
28. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
29. Experience with machine-code generation and back-end compiler optimizations such as instruction selection, register allocation, and instruction scheduling
**Public Compensation:**
$154,003/year to $217,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal 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.