NVIDIA is looking for a Software Engineering Intern to join a team that builds infrastructure and agentic AI services for teams across the company. Our job is to remove other teams' bottlenecks: we build and run core internal services that power large geo-distributed infrastructure, and a growing share of what we ship is driven by AI agents. As an intern, you will work alongside senior engineers to design, build, and ship production systems – from backend services that run automated workflows at massive scale to AI agents that take routine work off engineers' plates.
This is an excellent opportunity to gain hands-on experience with agentic AI and modern infrastructure while contributing to real products used by teams across NVIDIA .
What you'll be doing:
- Work with senior engineers to design, build, and improve backend services and APIs for internal platforms that run automated workflows at massive scale
- Build AI agents and agentic workflows that connect LLMs to tools and internal services, and integrate them into production systems
- Help make agents reliable and safe in production – from access control and guardrails to evaluating agent quality
- Assist in building data pipelines and GPU job orchestration for synthetic data generation and model evaluation at scale
- Implement and improve observability (tracing, metrics, logging) for distributed services and agents
- Participate in code reviews, testing, and debugging, and apply software engineering best practices in a product