GTL infrastructure teams are seeking an AI Agent & Infrastructure Intern to join our team building next-generation intelligent automation for infrastructure and services. This internship is a unique opportunity to gain hands-on experience with cutting-edge AI agent frameworks and high-performance backend systems, working alongside senior engineers and researchers who are shaping the future of AI-driven infrastructure.

What you'll be doing:

• Develop an MCP tool to analyse microservices logs.

• Build and extend log-analysis capabilities for large-scale microservice deployments.

• Create an AI Agent to orchestrate troubleshooting across multiple microservices.

• Integrate the MCP log-analysis tool into an autonomous agent.

• Automate triage, root cause analysis, and cross-service incident workflows.

• Implement observability and feedback loops for safe operation in production.

• Evaluate and compare ReFRAG, R2R, and other retrieval/agent methods.

• Design experiments to measure performance, cost, and reliability of competing approaches.

• Propose new architectures and approaches.

What we need to see:

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, AI, Data Science, or related field.

• Strong programming fundamentals in at least one of: Python (preferred for AI frameworks), or Go.

• Solid understanding of data structures, algorithms, and API design.

• Basic knowledge of machine learning concepts, especially retrieval-based or agent-based architectures.

• Familiarity with Git, databases (SQL/NoSQL/Vector) and data pipelines.

• Strong problem-solving skills and eagerness to learn new technologies.

• Excellent communication and ability to work effectively in a team environment.

Ways to stand out from the crowd:

• Experience with RAG pipelines, vector databases, embeddings, or LLM orchestration.

• Exposure to MCP tools or multi-tool agent frameworks (Lang* stack preferably).

• Knowledge of containerization (Docker) and orchestration (Kubernetes).

• Familiarity with infrastructure automation.

With competitive salaries and a generous benefits package, NVIDIA is widely considered one of the most desirable employers in the world. Our teams are composed of some of the most brilliant and talented people globally. If you are creative, autonomous, and excited by the challenge of building AI agents for infrastructure at scale, we want to hear from you.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Applications will be accepted until: November 1, 2025.

Please note: We will be reviewing applications on a rolling basis as they are submitted. Strong candidates may be contacted for next steps before the application deadline. We encourage you to apply early.