About The Position
NVIDIA's NemoClaw team is seeking a Senior Software Engineer to work on agentic AI, developer infrastructure, and runtime security. This role involves composing open-source stacks for secure and efficient agent environments, driving the quality and velocity of AI engineering practices. The position offers a groundbreaking opportunity to work with modern technology and solve complex problems while building robust, scalable systems.
Requirements
- 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.
Nice To Haves
- Contributions to open-source developer infrastructure, AI tooling, or large public software projects.
- Hands-on experience with AI coding agents, workflow automation, or multi-agent systems.
- Experience with containers and Linux isolation technologies including Docker, Kubernetes, and network policy management.
- Demonstrated experience in developing dependable CI, comprehensive validation, and test infrastructure for dynamic software.
- Familiarity with LLM inference, GPU-backed workloads, or performance-sensitive AI infrastructure as well as demonstrated ability to elevate the engineering standards through thoughtful reviews, clear documentation, and effective mentoring.
Responsibilities
- 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.
Benefits
- equity
- benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
