Mojo Debugging & Tooling Engineer

Modular; United States; Hybrid; USD 135,000 - 242,000; Full time

Benefits offered by this job

Premier insurance

401k matching

Flexible PTO

Stock options

Job summary

Modular is building the future of debugging and developer tooling for Mojo, a high-performance language for AI-era systems programming. The role focuses on evolving the LLDB-based Mojo debugger and delivering robust tooling across the Mojo ecosystem.

You will work with compiler and runtime engineers, shaping features, diagnostics, and IDE integrations while engaging with open-source communities. Hybrid work options apply to US/Canada/Edinburgh, with onboarding in-person.

Qualifications

• Experience building SDKs, developer tools, or tooling for a major programming language.
• Proven track record of improving developer productivity through debugging tools, IDE integrations, language tooling, or similar infrastructure.

Responsibilities

• Drive the evolution of the Mojo LLDB-based debugger, taking it from an experimental project to a production-quality debugger that delights developers.
• Build features across the debugging experience, including interactive debugging, expression evaluation, IDE integrations, debug information, symbol management, and diagnostics.
• Help define the next generation of developer tooling, including GPU debugging, profiling, agentic debugging, debugger MCP integration, and other cutting-edge capabilities.
• Partner closely with compiler engineers to deliver a cohesive, world-class developer experience across the Mojo ecosystem.
• Influence the long-term roadmap for debugging and tooling by identifying opportunities, proposing new capabilities, and driving technical direction.
• Collaborate with Developer Relations and the open-source community to gather feedback, shape features, support contributors, and improve the overall developer experience.

Skills

SDKs

Developer tools

Tools

LLDB

LLVM

Job description

Modular is building the future of debugging and developer tooling for Mojo, a high-performance language for AI-era systems programming. The role focuses on evolving the LLDB-based Mojo debugger and delivering robust tooling across the Mojo ecosystem.

You will work with compiler and runtime engineers, shaping features, diagnostics, and IDE integrations while engaging with open-source communities. Hybrid work options apply to US/Canada/Edinburgh, with onboarding in-person.