Software Engineering, AI Agents and Backend Infrastructure – 2027

NVIDIA Corporation; United States; Remote; USD 34,000 - 62,000; Part time

Job summary

NVIDIA Corporation is seeking a Software Engineering Intern to join a team that builds infrastructure and agentic AI services used across the company. You will collaborate with senior engineers to design, implement, and ship production systems, from backend workflows to AI agents that automate routine tasks.

You will gain hands-on experience with agentic AI, distributed systems, and modern infrastructure while contributing to real internal products.

Qualifications

• Experience building AI agents or LLM-powered applications with tool calls or agent frameworks.
• Experience with REST APIs, microservices, and Docker.
• Knowledge of cloud platforms (AWS, GCP, Azure) and GPU workloads.

Responsibilities

• Design, build, and improve backend services and APIs for internal platforms.
• Build AI agents and workflows connecting LLMs to tools and services.
• Ensure agents are reliable and safe in production with guardrails.
• Develop data pipelines and GPU job orchestration for synthetic data and evaluation.
• Improve observability (tracing, metrics, logging) for distributed services.

Skills

AI agents

Distributed systems

REST APIs

CI/CD

Observability basics

Tools

Docker

Kubernetes

OpenTelemetry

Prometheus

Grafana

AWS

GCP

Azure

MySQL

MongoDB

Redis

Elasticsearch

Job description

Описание:

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.

Задачи:

• 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

Требования:

• 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.

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.