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Senior Software Engineer, AI Agent Runtime and Open Source Infrastructure

NVIDIA · Santa Clara, United States

Information Technology Software & Development Full-time Posted 4 days ago

About this role

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. What you'll be doing: 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 environm

Apply for this role on NVIDIA’s official careers site.

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