Join NVIDIA's Accelerated Kubernetes Runtime team and be at the forefront of building the next generation of GPU-accelerated Kubernetes runtime distributions. As a Software Engineer on the Runtime team, you will design and build automation systems that enable engineers to seamlessly install, upgrade, and manage cluster runtime packages powering NVIDIA's AI Accelerators. You'll work on innovative controller systems that optimize runtime components for the latest GPU architectures including GB200/GB300, Vera Rubin and beyond, ensuring that AI researchers and developers have reliable, secure, and performant infrastructure at their fingertips.
The Runtime team is responsible for providing an NVIDIA-Accelerated Kubernetes runtime that can be applied to any cluster using NVIDIA accelerators, empowering engineers with automation-first, self-service tools that minimize manual effort while enhancing reliability and reproducibility.
What you will be doing:- Design and implement runtime features that orchestrate the lifecycle of runtime components across thousands of Kubernetes clusters without manual intervention
- Build and maintain the systems that configure, package, validate, and distribute accelerated compute components
- Develop Kubernetes controllers, CRDs, and operators that automate runtime installation, upgrade, and rollback operations with API driven workflows
What we need to see:- Bachelors in Computer Science, or equivalent experience
- 8+ years of professional experience, with at least 3 years of experience with Kubernetes development
- Experience building production Kubernetes systems with significant 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
- Demonstrated ability to design and implement automation systems that replace manual processes with reliable, self-service tooling
Ways to stand out from the crowd:- Experience working with NVIDIA Kubernetes components such as GPU operator, device plugins, or other HPC components in large scale production environments
- Deep familiarity with OCI registries, artifact signing, SBOM generation, and supply chain security practices
- Experience building multi-tenant platform services with focus on API design, versioning, and backward compatibility
- Track record of migrating legacy systems to modern, automated platforms while maintaining zero-downtime operations and contributions to upstream Kubernetes/CNCF projects or experience extending Kubernetes API machinery
- Deep understanding of Kubernetes architecture including API machinery, admission controllers, and resource lifecycle management
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
184,000 USD - 287,500 USD for Level 4; and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 13, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
