Software Engineering Intern, AI Agents and Backend Infrastructure

Remote, Bristol·Added yesterday (last checked 27 Oct)

NVIDIA

73 open roles

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Our summary

Work mode: Remote (Bristol)

Skills

Nice to have

Requirements

What we're looking for

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

Nice to have

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)

Pay & benefits

What you'll get

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.

The role

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 do

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

Hiring process

3 steps2 interviewsa matter of weeks from the first interview in all

Search and apply
Phone interviews
Phone call
Full-time candidates typically start with phone interviews.
Virtual or in-person interviews
With hiring manager, team members and employees from other groups · 30–60 min
One-on-one, small-group or panel interviews with the hiring manager, team members and people from other groups; an onsite in-person interview at an office is required before an offer.
Insider Chat
With a community resource group member · 15 min · Not every role
An optional 15-minute conversation with a community resource group member that does not influence the hiring decision.
Decision and offer

Applicants selected to move forward hear from recruiting within a couple of weeks.
Most candidates have a decision within weeks of their first interview.
Technical candidates may complete coding exercises on HackerRank.