hirly

Nvidia

AI Infra Development Intern - 2027

China, Shanghai

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hirly's read of this role

Seniority
Internship
Country
CN
Work mode
On-site / unstated
First seen by hirly
28 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

NVIDIA is searching for AI development interns to work in our AI Infra team. Our team is enabling NVIDIA and our customers to more easily scale up deep learning workflows. We are building infra to store and process data, to serve retrieving and mining. We are building tools to orchestrate and manage workflows, to triage and investigate issues, to evaluate and test model KPIs. We build infra to handle AI data on a massive scale for autonomous driving and beyond.

What you'll be doing:

  • In this role, you will work together with our engineers, collaborate with a diverse team of user experience designers, DevOps as well as deep learning experts. You will create infrastructures and applications for customers.
  • Working together to build the next generation AI Infrastructure including data ingestion, data indexing, data labeling, visualization, simulation, testing and more.
  • The team is full of learning opportunities and will provide plenty of excitement and rewards as we roll from concept to production.

What we need to see:

  • MS in computer science, EE or a related field.
  • Strong knowledge in frequently used data structures and algorithms.
  • Strong technical background in frontend and/or backend.
  • Expertise in at least several software development skills: JavaScript, TypeScript, Angular, CSS/HTML5, React or Golang, Java, RDBMS, Microservices, etc.
  • You are highly motivated, passionate and curious about new technologies.
  • A good communicator to work with multiple cross country teams.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. Do you have passion for advancing the state of AI and machine learning across a variety of verticals? Do you love a challenge? If so, we want to hear from you!

Original posting on Nvidia's site ↗

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