About The Position
Join NVIDIA's NemoClaw team and help develop the future of AI-powered software development! Our team works at the forefront of agentic AI, developer infrastructure, and runtime security. We compose open-source stacks that allow developers to harness always-on agents in secure, efficient environments. This role is a groundbreaking opportunity to work on modern technology, driving the quality and velocity of AI engineering practices. If you thrive on solving complex problems and building robust, scalable systems, this is the place for you.
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
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Upload and Match Resume
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
