Senior Software Engineer, AI Agent Runtime, Open Source Infrastructure

NVIDIA

Senior Software Engineer developing AI agent runtime and infrastructure at NVIDIA. Focusing on secure development practices and modern technology for software engineering.

Posted 6/9/2026full-timeSanta Clara • California, New York, Oregon, Texas, Washington • 🇺🇸 United StatesSenior💰 $224,000 - $356,500 per yearWebsite

Tech Stack

Tools & technologies

JavaScriptLinuxMacOSNode.jsRustTypeScript

About the role

Key responsibilities & impact

Build and implement production-grade features across NemoClaw, 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 TypeScript/Node.js, containers, Linux, macOS, WSL, and GPU-backed systems.
Collaborate with internal teams and external communities, including OpenShell and AI platform partners.

Requirements

What you’ll need

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 TypeScript, 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.

Benefits

Comp & perks

equity
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Hard Skills & Tools

TypeScriptJavaScriptNode.jsRustCI/CDautomation scriptstestingdebuggingnetwork policy administrationcredential management

Soft Skills

problem solvingcommunicationcollaborationtechnical reviewsdocumentationopen-source practicescode reviewstask managementmaintainabilityadaptability

Certifications

BS in Computer ScienceMS in Software Engineering