NVIDIA AI→
DGX Cloud Kubernetes Runtime Intern - Fall 2026
InternshipOn-site
Location
Santa Clara, CA
Salary
$42k–$148k/yr
Experience
Not specified
Posted
2 days ago
Skills
kubernetesgo programming languagepythonjavakubernetes controllerskubernetes operatorscustomresourcedefinitionsdockercontainerdhelmkustomizedistributed systemscloud infrastructure
Job Description
Summary: NVIDIA AI is seeking an intern to join their DGX Cloud Kubernetes Runtime team. The intern will gain hands-on experience in building GPU-accelerated Kubernetes runtime distributions and contribute to automation systems that enhance the management of runtime packages.
Responsibilities:
- 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
Required Qualifications:
- 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
Preferred Qualifications:
- 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
Required Skills: Kubernetes, Go programming language, Python, Java, Kubernetes controllers, Kubernetes operators, CustomResourceDefinitions, Docker, containerd, Helm, Kustomize, Distributed systems, Cloud infrastructure
Internship Start Date: Start in 2026 Fall
Benefits: You will also be eligible for Intern benefits.
Benefits
You will also be eligible for Intern benefits.