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Software Engineer, Systems ML

Meta· Engineering
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Menlo Park, CA$154k - $217kFull-timePosted 4d ago

About the role

Software Engineer role on the MTIA Software Tooling team, building and maintaining tooling for Meta's in-house AI accelerator MTIA, with focus on debugging, sanitizer technology, and fault isolation for AI workloads at scale across the MTIA hardware stack.

Responsibilities

  • Lead the design and development of MTIA's profiling and debugging tooling, including performance profiling, live debugging, and core dump for accelerator workloads
  • Build tooling capabilities spanning performance profiling, kernel-level diagnostics, and multi-rank fault isolation
  • Contribute broadly to the MTIA SW tooling infrastructure — profiling, performance debugging, memory analysis, monitoring, and reliability analysis for training and inference workloads
  • Own significant components end-to-end, from technical design through implementation, production rollout, and long-term maintenance
  • Collaborate closely with the MTIA compiler, runtime, kernel, and hardware teams to instrument the software stack with the hooks, sanitizers, and debuggers that are required
  • Drive AI-native tooling approaches, leveraging automation and LLM-guided diagnostics to reduce time-to-root-cause
  • Partner with internal product teams across advertising, recommendations, and generative AI to understand developer pain points and prioritize tooling investments
  • Communicate architectural decisions through design documents and cross-team reviews; share debugging methodology and best practices with engineers across the MTIA stack

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience
  • 4+ years of experience in systems software engineering, performance engineering, developer tooling, or a closely related field
  • Experience building debugging, sanitiser, profiling, or diagnostic tools for complex software/hardware systems
  • Proficiency in C++ and Python, including low-level systems programming and scripting for tool automation
  • Experience working across multiple layers of a system stack (compiler, runtime, OS/driver, hardware)
  • Track record of leading the technical design and delivery of tooling or infrastructure projects through to production deployment
  • Experience debugging issues across application, runtime, and hardware boundaries, with the ability to trace issues across application, runtime, and hardware boundaries

Skills

Required:C++Python

Benefits

  • Benefits information available via Meta Careers site (not enumerated here)
Last updated Oct 23, 2026. Interested? Apply on the company site.

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