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$10

$19

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How much do intern java support jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for intern java support in Santa Clara, CA is $19.68, according to ZipRecruiter salary data. Most workers in this role earn between $16.92 and $21.73 per hour, depending on experience, location, and employer.

What is the difference between Intern Java Support vs Java Developer?

AspectIntern Java SupportJava Developer
Required CredentialsBasic understanding of Java, coursework or certificationsBachelor's degree in Computer Science or related field, experience in Java development
Work EnvironmentSupport team, entry-level tasks, supervisedDevelopment team, coding, designing, testing
Employer & Industry UsageTech companies, IT support firms, internshipsSoftware companies, tech startups, enterprise IT
Search & Comparison IntentLearning, entry-level support rolesDevelopment career, coding roles

Intern Java Support roles focus on assisting with Java-related support tasks and gaining foundational experience, while Java Developer positions involve designing, coding, and maintaining Java applications. Internships are ideal for beginners, whereas developers require more advanced skills and experience.

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DGX Cloud Kubernetes Runtime Intern - Fall 2026

DGX Cloud Kubernetes Runtime Intern - Fall 2026

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Re-posted 9 days ago

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

Job description

Join NVIDIA's DGX Cloud Kubernetes Runtime team as a Software Engineering Intern and gain hands-on experience building the next generation of GPU-accelerated Kubernetes runtime distributions. As an intern on the Runtime team, you will contribute to automation systems that enable operators to seamlessly install, upgrade, and manage cluster runtime packages powering NVIDIA's AI Accelerators. You'll work alongside experienced engineers on controller systems that manage runtime components for the latest GPU architectures including GB200/GB300 and beyond, helping ensure that AI researchers and developers have reliable, secure, and performant infrastructure at their fingertips.
The Runtime team is responsible for providing a Kubernetes runtime distribution that can be applied to any cluster using NVIDIA accelerators, empowering operators with automation-first, self-service tools that minimize manual effort while enhancing reliability and reproducibility.
What you will be doing:
  • Contribute to the runtime controller system that manages the lifecycle of runtime packages across Kubernetes clusters under the guidance of senior engineers
  • Assist in building and maintaining components of the runtime builder that packages, validates, and distributes GPU operators, DRA drivers, and other accelerated compute runtime packages
  • Help develop and test Kubernetes controllers, CRDs, and operators that automate runtime installation and upgrade operations
  • Work on tooling and automation scripts that support runtime composition across different cloud providers and GPU architectures
  • Participate in code reviews and learn best practices for building production-grade Kubernetes systems

What we need to see:
  • Currently pursuing a BS, MS, or PhD in Computer Science, Computer Engineering, or related field
  • Hands-on experience with Kubernetes (through coursework, personal projects, or previous internships)
  • Familiarity with at least one programming language such as Go, Python, or Java
  • Understanding of basic Kubernetes concepts including pods, deployments, services, and namespaces
  • Enthusiasm for learning about distributed systems, automation, and cloud infrastructure
  • Strong problem-solving skills and ability to work collaboratively in a team environment

Ways to stand out from the crowd:
  • Experience with Go programming language and building services or tools in Go
  • Familiarity with Kubernetes controllers, operators, or CustomResourceDefinitions through academic projects or personal exploration
  • Experience with container technologies (Docker, containerd) and package management tools (Helm, Kustomize)
  • Contributions to open source projects, especially in the cloud-native ecosystem
  • Coursework or projects involving distributed systems, system design, or infrastructure automation

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD.
You will also be eligible for Intern benefits.
Applications for this job will be accepted at least until June 6, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

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.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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