Senior MTIA Tooling Engineer

Meta; New York (NY); On-site; USD 150,000 - 190,000; Full time

Job summary

Meta is seeking a Software Engineer to join the MTIA Software Tooling team, building the tooling ecosystem for Meta's in-house AI accelerator ASICs. You will design developer tools to debug, profile, measure, and monitor AI workloads at scale, spanning compiler, runtime, hardware, and ML frameworks.

You will own the roadmap for MTIA tooling, collaborate with compiler, kernel, and hardware teams, and drive AI-native tooling approaches to improve developer productivity and reduce

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or related field.
• 6+ years in systems software engineering or tooling.
• Experience building debugging, profiling, or diagnostic tools for complex software/hardware systems.
• Proficiency in C++ and Python, with low-level systems programming and scripting for tool automation.
• Experience across multiple layers of a system stack (compiler, runtime, OS/driver, hardware).
• Experience leading the technical design and delivery of tooling or infrastructure projects from inception through production deployment.
• Experience with ML frameworks (PyTorch graph execution, torch.compile) and AI compiler stacks (MLIR, LLVM, TVM, Triton).
• Track record of building developer tools adopted by large engineering populations, ideally with open-source contributions (gdb, LLVM sanitizers, Valgrind, Triton).

Responsibilities

• Own the technical vision and roadmap for 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 MTIA SW tooling infrastructure — enabling profiling, performance debugging, memory sanitization, and reliability analysis for MTIA training and inference workloads.
• Collaborate with MTIA compiler, runtime, kernel, and hardware teams to integrate tooling hooks throughout the MTIA software stack.
• Drive AI-native tooling approaches leveraging automation and LLM-guided diagnostics to improve developer productivity and 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.
• Advise on tooling best practices, debugging methodologies, and systems-level analysis; communicate architectural decisions through design documents and cross-team reviews.

Skills

C++

Python

Systems software

Debugging tools

Tooling automation

Education

Bachelor's degree in Computer Science/Engineering

Tools

cuda-gdb

nsight-compute

nsight-systems

cuda-memcheck

Job description

Meta is seeking a Software Engineer to join the MTIA Software Tooling team, building the tooling ecosystem for Meta's in-house AI accelerator ASICs. You will design developer tools to debug, profile, measure, and monitor AI workloads at scale, spanning compiler, runtime, hardware, and ML frameworks.

You will own the roadmap for MTIA tooling, collaborate with compiler, kernel, and hardware teams, and drive AI-native tooling approaches to improve developer productivity and reduce