Software Engineering Intern, AI Automation Infra - 2027

NVIDIA is hiring a Software Engineering Intern, AI Automation Infra - 2027 in Shanghai, China. Level rates it ; you can apply on NVIDIA.

Level's read on this job

Builds AI ●●●● is how Level rates this role: the job is building AI systems.
Tools and skills the posting cites include Claude, LangChain and LlamaIndex.
Level classifies it as an internship.
Level lists 2,700+ other open roles at NVIDIA.
The role was posted in the last few days.

AI in this role

Build and evaluate AI agent skills, workflows, and data pipelines to automate operations and infrastructure as an intern.

claudelangchainllamaindexlanggraphcursorclaude-codecodexpython

ragai-agentsai-automationmachine-learningautomationsoftware-engineering

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Become a Software Engineer Intern at NVIDIA and join the PerfLab team! This exceptional opportunity enables you to work with leading experts and support groundbreaking projects in an inclusive and varied environment.

What You'll Be Doing:

Build and evaluate AI agent skills, MCP tools, harnesses and agentic workflows to automate PerfLab operations and boost team efficiency.
Build and implement data automation pipelines and infrastructure for performance test result collection, transformation, and visualization.
Build interactive dashboards to present benchmark insights to internal and external customers.
Work with NVIDIA's global experts to tackle intriguing challenges and drive impactful project developments.

What We Need to See:

Pursuing a degree in Computer Science, Electrical Engineering, or a related field.
Strong Python skills with experience in building CLI tools, REST APIs, or automation scripts in Unix and Windows environments.
Hands-on experience building AI-powered applications such as AI agents, RAG pipelines, or MCP tools.
Good understanding of ML/DL workloads (CNNs, Transformers, LLMs).
Proficient in applying leading AI coding tools (e.g., Claude Code, Cursor, Codex) to accelerate daily work.
Strong collaboration and communication skills, with the ability to learn quickly and work effectively in a dynamic environment.
Excellent written and spoken English.

Ways to Stand Out From the Crowd:

Prior experience with agentic LLM frameworks like LangChain, LangGraph, or LlamaIndex.
End-to-end experience developing Physical AI models, from data collection and preparation through training, evaluation, and deployment..
Contributions to open-source projects in DevOps, infrastructure, or AI tooling.
Demonstrated innovation and problem-solving through research, internships, hackathons, competitions, or personal projects.
Experience writing technical blogs, giving tech talks, or creating demo videos to promote project outcomes.

Successfully implement your skills and join us in crafting the future of AI and computing!

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

How we rate this

Software Engineering Intern, AI Automation Infra - 2027 at NVIDIA rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Software Engineering Intern, AI Automation Infra - 2027 is an open job at NVIDIA.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in China, Shanghai.
The job was posted on October 23, 2026.
Seniority: intern.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI agentsAI AutomationMachine learningAutomationSoftware EngineeringClaudeLangChain

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
How do you decide when an AI agent can act on its own versus asking for approval first?
Tell me about a workflow you automated with AI tools, end to end.
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where automation was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: RAG, AI agents, AI Automation, Machine learning, and Automation. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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