JobsDGX Cloud Kubernetes Runtime Intern - Fall 2026
DGX Cloud Kubernetes Runtime Intern - Fall 2026
NVIDIADGX Cloud Kubernetes Runtime Intern - Fall 2026
NVIDIALocation
Santa Clara, CA
Type
Internship
Posted
6/3/2026
Compensation
$20.00 - $71.00 per hour
Undergraduate Internship
Master's Internship
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Approval 99.2%·Filings 1,781·New hires 873·
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·FY 2025Job description
Join NVIDIA's DGX Cloud Kubernetes Runtime team as a Software Engineering Intern to gain hands-on experience in building GPU-accelerated Kubernetes runtime distributions. You will work on automation systems that assist operators in managing cluster runtime packages for NVIDIA's AI Accelerators. Collaborating with experienced engineers, you will contribute to the development of controller systems for the latest GPU architectures. This role emphasizes providing reliable and efficient infrastructure for AI researchers and developers.
Requirements
- Currently pursuing a BS, MS, or PhD in Computer Science, Computer Engineering, or a 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.
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.
Benefits
- Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.
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