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Intern Tcs Java Developer Jobs in Stanford, CA (NOW HIRING)

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Software Engineering Intern

San Jose, CA · On-site

Extend existing software APIs, libraries, or standalone tools (Python, Java, Go, or other languages ... Java, Python, or similar programming languages * Git and modern version-control practices * Data ...

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Application Engineer Intern

Foster City, CA · On-site

$32/hr

As an intern, you'll have the opportunity to work on multiple UI technologies and collaborate with ... Familiarity with an object-oriented language like Java is a bonus Work Location * Candidate is ...

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How much do intern tcs java developer jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for intern tcs java developer in Stanford, CA is $26.90, according to ZipRecruiter salary data. Most workers in this role earn between $21.73 and $28.51 per hour, depending on experience, location, and employer.

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

AspectIntern Tcs Java DeveloperTcs Java Developer
QualificationsTypically pursuing or recently completed a degree in Computer Science or related fieldBachelor's degree in Computer Science or related field, with some experience
Work EnvironmentTraining programs, supervised projects, entry-level tasksFull-time development projects, team collaboration, client interactions
ResponsibilitiesLearning, assisting in coding, testing, and documentationDesigning, coding, debugging, and maintaining Java applications

The main difference between an Intern Tcs Java Developer and a Tcs Java Developer lies in experience and responsibilities. Interns are in learning and assisting roles, while Java Developers handle full development tasks. Internships serve as a stepping stone to full-time roles, which require more expertise and independence.

What are popular job titles related to Intern Tcs Java Developer jobs in Stanford, CA? For Intern Tcs Java Developer jobs in Stanford, CA, the most frequently searched job titles are:
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Intern Tcs Java Developer jobs near you
DGX Cloud Kubernetes Runtime Intern - Fall 2026

DGX Cloud Kubernetes Runtime Intern - Fall 2026

Nvidia

Santa Clara, CA

$17.50 - $23.50/hr

Full-time

Posted 8 days ago

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 Internbenefits.

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.
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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