AI Agent Engineer Intern, AI Enablement Process - 2027

Responsibilities

• 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.

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