Software Engineer, Systems ML - Compilers / Backend

**Summary:** 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. **Required Skills:** Software Engineer, Systems ML - Compilers / Backend Responsibilities: 1. Analyze and design effective compiler passes and optimizations. Implement and/or enhance code generation targeting machine learning accelerators 2. Work with algorithm research teams to support the co-design of hardware features mapping ML graphs to hardware implementations, modeling data-flows, creating cost-benefit analysis and estimating silicon power and performance 3. Work with hardware architects to co-design hardware features that maximize performance, power efficiency and programmability 4. Contribute to the development of machine-learning libraries, intermediate representations, export formats, and analysis tools 5. Collaborate with the team to enhance the efficiency, scalability, and stability of our toolchains by focusing on kernel optimization and tuning 6. Conduct design and code reviews. Evaluate code performance, debug, diagnose and drive resolution of compiler and cross-disciplinary system issues 7. Interface with other compiler-focused teams to evaluate and incorporate their innovations and vice versa **Minimum Qualifications:** Minimum Qualifications: 8. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta 9. Experience in software design and programming experience in Python and/or C/C++ for development, debugging, testing and performance analysis 10. Experience in AI framework development or accelerating models on hardware architectures (GPU, TPU, custom AI ASICs) 11. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 12. Experience working on and contributing to an active compiler toolchain codebase, such as LLVM, MLIR, GCC, MSVC, Glow 13. Experience of developing in a mainstream machine-learning framework, e.g. PyTorch, MLIR, Tensorflow or Caffe 14. 1+ years experience developing compilers or similar code optimization software 15. Experience collaborating with hardware, firmware, or algorithm teams to define and deliver shared technical objectives 16. Experience developing high-performance kernels or runtime components and tuning them for inference specific accelerator platforms 17. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies 18. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) 19. Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, recurrent networks, etc 20. Experience with machine-code generation or compiler back-ends for on-device inference workloads 21. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) **Public Compensation:** $121,992/year to $181,000/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.