Senior Software Engineer, AI Agent Runtime, Source Infrastructure

Responsibilities

• Build and implement production-grade features across Nemo Claw, focusing on onboarding flows, policy controls, inference routing, and sandbox lifecycle.
• Develop and sustain secure agent runtime infrastructure, ensuring strong network policy administration, credential management, and failure recovery.
• Engage in daily open-source workflows: author pull requests, conduct technical reviews, address issues, write tests, and contribute to documentation.
• Use AI-assisted development tools to improve the engineering loop, while applying rigorous verification and security measures.
• Develop tools, test harnesses, automation scripts, and CI/CD workflows to boost team efficiency.
• Diagnose complex failures across various platforms and environments, including Type Script/Node.js, containers, Linux, macOS, WSL, and GPU-backed systems.
• Collaborate with internal teams and external communities, including Open Shell and AI platform partners.

• BS, MS, or equivalent experience in Computer Science, Software Engineering, or a related technical field.
• Over 12+ years of experience in developing and managing production software systems, developer infrastructure, or open-source platforms.
• Strong systems engineering fundamentals with a proven track record of solving multifaceted problems.
• Skilled in at least one prominent programming language and capable of rapidly learning Type Script, JavaScript, Node.js, and Rust.
• Comfort working in large codebases, with experience in reading unfamiliar code, conducting detailed reviews, and improving maintainability.
• Demonstrated experience with open-source practices, including managing tasks, pull requests, code reviews, and public technical discussions.
• Experience with AI-supported development tools and a solid understanding of validating generated code.
• Security-conscious engineering approaches, particularly concerning secrets management, sandboxing, and network policy enforcement.
• Solid testing, continuous integration and delivery, and debugging abilities, with the capability to replicate failures, determine root causes, and clearly convey results.
• Excellent written and verbal communication skills, capable of explaining technical concepts to diverse audiences.