DGX Cloud Kubernetes Runtime Intern - Fall 2026

Nvidia

Quick summary

Work type
On-site
Location
Santa Clara, CA
Employment
Intern
Posted
4 days ago

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Similar $179k
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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 563 open roles on FindRole.

Listed pay typically runs $168,000–$264,500 across 556 roles with salary data.

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TL;DR · DGX Cloud Kubernetes Runtime Intern - Fall 2026

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As a Software Engineering Intern on NVIDIA's DGX Cloud Kubernetes Runtime team, you will contribute to the development of GPU-accelerated Kubernetes runtime distributions by working on automation systems that facilitate the installation and management of cluster runtime packages for AI applications. You’ll collaborate with senior engineers to build and maintain components like the runtime builder, which packages and validates accelerated compute runtime packages, and develop Kubernetes controllers and operators to automate runtime operations across various cloud providers and GPU architectures. The team focuses on providing reliable infrastructure for AI researchers and developers using NVIDIA’s latest GPU technologies such as GB200/GB300. Ideal candidates are pursuing a degree in Computer Science or related fields with hands-on experience in Kubernetes, proficiency in Go, Python, or Java, and familiarity with container technologies and package management tools.

Skills

Kubernetes Go Python Docker Helm Kustomize CI/CD GitHub GitOps Prometheus Grafana Linux REST APIs JSON YAML Cloud-Native Distributed_Systems Containerd CustomResourceDefinitions

What you'll do

  • Contribute to the runtime controller system managing lifecycle of packages across Kubernetes clusters.
  • Assist in building and maintaining components that package, validate, and distribute GPU operators and drivers.
  • Develop and test Kubernetes controllers, CRDs, and operators for automated installation and upgrade operations.
  • Work on tooling and automation scripts supporting runtime composition across different cloud providers and GPU architectures.
  • Participate in code reviews to learn best practices for building production-grade Kubernetes systems.

What we're looking for

  • Currently pursuing a degree in Computer Science, Engineering, or related field.
  • Hands-on experience with Kubernetes and familiarity with basic concepts like pods and deployments.
  • Proficiency in Go programming language for building services or tools.
  • Experience with Kubernetes controllers, operators, and CustomResourceDefinitions.
  • Familiarity with container technologies such as Docker and package management tools like Helm.
  • Strong problem-solving skills and ability to work collaboratively in a team.

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