AI Infra Development Intern - 2027

AI in this role

AI Infra Development Intern building next-generation AI infrastructure for data processing and workflow orchestration.

javascripttypescriptangularreactgolangjavardbms

ai-data-labelingai-infrastructuredeep-learningdistributed-systemsfrontendbackend

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!

How we rate this

AI Infra Development Intern - 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. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI Data LabelingAI InfrastructureDeep LearningDistributed SystemsFrontendBackendJavascriptTypescript

Questions you could be asked

How do you keep labeling instructions consistent across a large annotation team?
Tell me about a project where ai infrastructure was part of your work. What did you do?
Tell me about a project where deep learning was part of your work. What did you do?
Tell me about a project where distributed systems was part of your work. What did you do?
Tell me about a project where frontend was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI Data Labeling, AI Infrastructure, Deep Learning, Distributed Systems, and Frontend. 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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