Software Engineer, Systems Machine Learning

**Summary:** Meta is seeking a Software Engineer to join the MTIA (Meta Training & Inference Accelerator) Software Tooling team, which develops and maintains the tooling ecosystem for Meta's in-house AI accelerator ASICs. The Tooling team provides debugging, profiling, memory analysis, and monitoring capabilities for the whole MTIA Ecosystem, redefining ML accelerator tooling by leveraging Meta's full-stack ownership from silicon specs to fleet observability.In this role, you will design, build, and maintain developer tools that help engineers debug, profile, measure, and monitor AI workloads running on MTIA hardware at scale. You will work at the intersection of compilers, runtime, hardware, and ML frameworks, collaborating with cross-functional partners to deliver a high-quality developer experience for Meta's custom AI accelerators. **Required Skills:** Software Engineer, Systems Machine Learning Responsibilities: 1. Design and develop software tools across the MTIA tooling ecosystem, including debugging, profiling, performance analysis, memory analysis, and monitoring infrastructure 2. Own features and components end-to-end, from design through implementation, testing, and deployment 3. Build and improve tooling infrastructure that enables engineers to efficiently develop, test, and optimize AI workloads on MTIA hardware 4. Collaborate with the MTIA compiler, runtime, kernel, and hardware teams to integrate tooling hooks and support new platform capabilities 5. Proactively identify gaps in the tooling ecosystem and propose solutions to improve developer productivity 6. Contribute to technical design discussions, write design documents for medium-scope projects, and participate in code reviews 7. Partner with internal product teams across advertising, recommendations, and generative AI to understand developer pain points and improve tool usability **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. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 10. Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience 11. 2+ years of experience in software engineering, with exposure to systems software, developer tooling, or infrastructure 12. Proficiency in C++ and Python, including systems-level programming concepts 13. Experience working across multiple layers of a system stack (e.g., application, runtime, OS/driver, or hardware interfaces) 14. Track record of independently delivering software projects from design through production deployment 15. Experience debugging and resolving issues in complex software systems (e.g., using log analysis, stack traces, or system-level diagnostic tools) **Preferred Qualifications:** Preferred Qualifications: 16. Exposure to accelerator ecosystems (GPU/CUDA, TPU, custom ASICs) or heterogeneous computing environments 17. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies 18. Experience building developer tools such as debuggers, profilers, build systems, CLI tools, monitoring dashboards, or diagnostic utilities 19. Contributions to open-source projects demonstrating tooling or system software interest 20. Experience in using data-driven methods to evaluate tooling effectiveness and to prioritize improvements 21. Familiarity with Linux debugging and profiling tools (gdb, perf, strace, eBPF, valgrind) or similar diagnostic infrastructure 22. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) 23. Familiarity with ML frameworks (PyTorch, TensorFlow) or compiler infrastructure (LLVM, MLIR, TVM) 24. Experience with distributed systems debugging, profiling, or monitoring at scale 25. 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.