Software Engineering Intern, AI Agents and Backend Infrastructure – 2027

NVIDIA Corporation; United States; Remote; USD 34,000 - 55,000; Full time

Job summary

NVIDIA Corporation in the United States is seeking a Software Engineering Intern to join a team that builds infrastructure and agentic AI services across the company.

You will design, build, and ship production systems—from backend services that automate workflows at scale to AI agents that offload routine work for engineers.

This hands-on role offers exposure to modern infrastructure, distributed systems, and real-world products used by engineers nationwide.

Qualifications

• Pursuing a Bachelor's or Master's in Computer Science, Engineering, or related field.
• Strong fundamentals in Go, Python, or C#.
• Solid understanding of data structures and algorithms.
• Hands-on experience with LLM APIs or similar AI tooling.
• Familiarity with Git and software development workflows.
• Knowledge of SQL and database concepts.
• Strong problem-solving and quick learner.
• Excellent communication and teamwork.

Responsibilities

• 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 production environment.
• Work in a product-minded way: talk to internal users, prototype quickly, collect feedback, and iterate.

Skills

Go

Python

C#

Data structures & algorithms

LLM APIs

Git

SQL

Communication

Teamwork

Education

Bachelor's or Master's in CS/Engineering

Tools

Git

Docker

Kubernetes

REST APIs

CI/CD

OpenTelemetry

Prometheus

Grafana

SQL databases

Job description

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 production environment
• Work in a product-minded way: talk to internal users, prototype quickly, collect feedback, and iterate

What we need to see:

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, or related field
• Strong programming fundamentals in at least one of: Go (preferred), Python, or C#
• Solid understanding of data structures and algorithms
  Basic knowledge of software design patterns and API design concepts
• Hands-on experience building with LLMs – for example, a project, prototype, or coursework that uses LLM APIs
• Familiarity with version control systems (Git)
• Understanding of database concepts and SQL
• Strong problem-solving skills and eagerness to learn new technologies
• Excellent communication skills and ability to work effectively in a team environment

Ways to stand out from the crowd:

• Experience building AI agents or LLM-powered applications: tool/function calling, MCP, RAG, or agent frameworks (e.g., LangGraph, NVIDIA NeMo Agent Toolkit)
• Experience with distributed systems concepts (REST APIs, microservices architecture) and containerization (Docker)
• Knowledge of cloud platforms (AWS, GCP, Azure), GPU workloads, and infrastructure automation
• Familiarity with CI/CD pipelines, DevOps practices, observability tools (OpenTelemetry, Prometheus, Grafana), and orchestration platforms (Kubernetes)
• Experience with database technologies (MySQL, MongoDB, Redis, Elasticsearch)

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, 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.