Software Engineer, Systems ML Tooling

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 and build developer tools across the MTIA tooling ecosystem, with a primary focus on debugging, sanitizer technology, and fault isolation for 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.

This role can focus on either debugging and sanitizing technology or simulation infrastructure for pre-silicon and post-silicon model bring-up, depending on the candidate's background and team needs.