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.
What we need to see:
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.
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.
Ways to stand out from the crowd:
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.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6. You wil
Additional Information
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
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.
Nvidia · Santa Clara, CA