Software Engineer, MTIA SW Tooling Engineer Meta · Bellevue, WA +2 more

QuickCruit; Bellevue, Northern (WA, KY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Meta is seeking a Software Engineer to join the MTIA Software Tooling team, developing tooling for debugging, profiling, measuring, and monitoring AI workloads on MTIA hardware at scale. You will own the technical vision and work across the MTIA stack with compiler, runtime, kernel, and hardware teams to ensure a high-quality developer experience.

As a senior contributor, you will build and integrate debugging tools and tooling infrastructure, enabling fleet reliability and advanced diagnostics

Responsibilities

• Own the technical vision and roadmap for MTIA's developer tooling ecosystem, focusing on debugging, workload error analysis, and fleet reliability
• Design and develop debugging tools — including graph-mode debugging, kernel-level diagnostics, and multi-rank fault isolation
• Contribute to MTIA SW tooling infrastructure — enabling profiling, performance debugging, memory sanitization, and reliability analysis for MTIA workloads
• Collaborate with MTIA compiler, runtime, kernel, and hardware teams to integrate tooling hooks throughout the software stack

Job description

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, advancing ML accelerator tooling by leveraging Meta's full-stack ownership from silicon specs to fleet observability. In this role, you will be a senior technical contributor responsible for designing and building 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.

Responsibilities

• Own the technical vision and roadmap for key areas of MTIA's developer tooling ecosystem, focusing on debugging, workload error analysis, and product / fleet reliability
• Design and develop debugging tools — including graph-mode debugging, kernel-level diagnostics, and multi-rank fault isolation
• Contribute to overall MTIA SW tooling infrastructure — enabling profiling, performance debugging, memory sanitization, and reliability analysis for MTIA training and inference workloads
• Collaborate closely with MTIA compiler, runtime, kernel, and hardware teams to integrate tooling hooks throughout the MTIA software stack