AI Agent Engineer Intern, AI Enablement Process - 2027

Overview

• Today, NVIDIA is 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 an inclusive, encouraging environment where everyone is inspired to do their best work.
• Come join the team and see how we can make a lasting impact on the world.
• What you’ll be doing: Identify bottlenecks in software development workflows, form testable hypotheses, and rapidly build prototypes that demonstrate measurable improvements in developer efficiency.
• Design and implement AI-agent capabilities for tasks such as code generation, debugging, testing, knowledge retrieval, workflow automation, and long-running development tasks.
• Collaborate with software engineers, AI researchers, and infrastructure teams to integrate agent-based solutions into real NVIDIA development environments.
• Evaluate agent systems through reproducible experiments, analyzing reliability, accuracy, latency, resource usage, and the quality of generated code.
• Turn successful experiments into robust, maintainable Python software that can support broader engineering teams across NVIDIA.
• What we need to see: Currently pursuing a Bachelor’s, Master’s, or PhD degree in Computer Science, Software Engineering, or a related field.
• Strong programming and software engineering skills, with particular proficiency in Python and the ability to write clean, testable, and maintainable code.
• Solid understanding of core computer science topics, especially operating systems, computer networks, storage systems, concurrency, and distributed systems.
• Strong self-motivation and problem-solving ability, including a demonstrated capacity to discover meaningful problems, work independently, and validate ideas through rapid experimentation.
• Good written and spoken English skills, with the ability to communicate technical ideas clearly and collaborate in an international engineering environment.
• Hands-on experience using AI-assisted development tools such as Claude Code, Codex, Cursor, or similar coding agents.
• Ways to stand out from the crowd: Experience building AI agents, coding assistants, autonomous development workflows, or other tools that improve developer productivity.
• Familiarity with agent frameworks and open-source projects such as Hermes, DeepSeek Harness, memory systems, or comparable agent runtimes and orchestration frameworks.
• Experience evaluating large language model applications, including prompt design, tool use, context management, memory, benchmarking, and reliability testing.
• Contributions to open-source projects, technically ambitious personal projects, or examples of independently identifying and solving real developer problems.
• ​ NVIDIA is widely considered to be one of the technology world’s most desirable employers.
• We have some of the most forward-thinking and hardworking people in the world working for us.
• If you're creative and autonomous, we want to hear from you!.