NVIDIA's DGX Cloud Kubernetes Runtime team is looking to solve the problem of seamlessly installing, upgrading, and managing cluster runtime packages for NVIDIA's AI Accelerators, ensuring reliable, secure, and performant infrastructure for AI researchers and developers.
Requirements
- Experience building production Kubernetes systems with deep expertise in controllers, operators, and CustomResourceDefinitions
- Strong proficiency in Go and experience building scalable Go services that manage complex distributed systems
- Hands-on experience with Helm, Kustomize, and managing Kubernetes manifest packaging and templating at scale
- Deep understanding of Kubernetes architecture including API machinery, admission controllers, and resource lifecycle management
- Demonstrated ability to design and implement automation systems that replace manual processes with reliable, self-service tooling
- Experience building multi-tenant platform services with focus on API design, versioning, and backward compatibility
- Deep familiarity with OCI registries, artifact signing, SBOM generation, and supply chain security practices
Responsibilities
- Design and implement the runtime controller system that manages the lifecycle of runtime packages across thousands of Kubernetes clusters without manual pipeline intervention
- Build and maintain the runtime builder that packages, validates, and distributes GPU operators, DRA drivers, network components, and other accelerated compute runtime packages
- Develop Kubernetes controllers, CRDs, and operators that automate runtime installation, upgrade, and rollback operations with API driven workflows
- Create expansion rules and component management systems that enable flexible runtime composition across different cloud providers and GPU architectures
- Work with internal teams to migrate from GitLab pipeline-based deployments to fully automated, controller powered runtime management
Other
- Masters and/or PhD in Computer Science, or equivalent experience
- 15+ years of professional experience, with at least 4 years experience with Kubernetes development
- Applications for this job will be accepted at least until November 10, 2025.
- NVIDIA is committed to fostering a diverse 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.
