NVIDIA

1 month ago

DGX Cloud Kubernetes Runtime Intern - Fall 2026

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 37 minutes agoStatus: Live

Job Summary

Join NVIDIA's DGX Cloud Kubernetes Runtime team as a Software Engineering Intern to help build the next generation of GPU-accelerated Kubernetes runtime distributions. You will contribute to automation for installing, upgrading, and managing runtime packages across clusters, work on Kubernetes controllers and operators, and collaborate with engineers to improve reliability, security, and performance of AI infrastructure.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key 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

Pay and Benefits

Salary: USD 20 - 71 hourly

Perks:Benefits

Key Requirements

•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

Experience:Cloud-nativeKubernetesGPU

Education:Bachelor's

Skills:Problem-solvingTeamworkCommunicationCuriosity

Languages:English

Tech Stack:GoPythonJavaKubernetesDockerContainerdHelmKustomize

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

Loading job details...

Preparing the role view and application actions.

NVIDIA

1 month ago

DGX Cloud Kubernetes Runtime Intern - Fall 2026

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 37 minutes agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key 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

Pay and Benefits

Salary: USD 20 - 71 hourly

Perks:Benefits

Key Requirements

•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

Experience:Cloud-nativeKubernetesGPU

Education:Bachelor's

Skills:Problem-solvingTeamworkCommunicationCuriosity

Languages:English

Tech Stack:GoPythonJavaKubernetesDockerContainerdHelmKustomize

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor