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Software Engineer, Systems Machine Learning

Meta· Engineering
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Sunnyvale, CA$122k - $181kFull-timePosted 2w ago

About the role

Software Engineer to join the MTIA Software Tooling team at Meta, developing and maintaining tooling for Meta's in-house AI accelerator ASICs (MTIA). Role focuses on building developer tools to debug, profile, measure, and monitor AI workloads running on MTIA hardware at scale, collaborating across compiler, runtime, kernel, and hardware teams to improve developer experience for Meta's custom AI accelerators.

Responsibilities

  • Design and develop software tools across the MTIA tooling ecosystem, including debugging, profiling, performance analysis, memory analysis, and monitoring infrastructure
  • Own features and components end-to-end, from design through implementation, testing, and deployment
  • Build and improve tooling infrastructure that enables engineers to efficiently develop, test, and optimize AI workloads on MTIA hardware
  • Collaborate with the MTIA compiler, runtime, kernel, and hardware teams to integrate tooling hooks and support new platform capabilities
  • Proactively identify gaps in the tooling ecosystem and propose solutions to improve developer productivity
  • Contribute to technical design discussions, write design documents for medium-scope projects, and participate in code reviews
  • Partner with internal product teams across advertising, recommendations, and generative AI to understand developer pain points and improve tool usability

Qualifications

  • 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
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 2+ years of experience in software engineering, with exposure to systems software, developer tooling, or infrastructure
  • Proficiency in C++ and Python, including systems-level programming concepts
  • Experience working across multiple layers of a system stack (e.g., application, runtime, OS/driver, or hardware interfaces)
  • Track record of independently delivering software projects from design through production deployment
  • Experience debugging and resolving issues in complex software systems (e.g., using log analysis, stack traces, or system-level diagnostic tools)

Skills

Required:Bachelor's degree or equivalent practical experience in CS/CE/related fieldC++PythonExperience with multi-layer system stacksDebugging complex software systems
Last updated Oct 23, 2026. Interested? Apply on the company site.

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