Senior Software Engineer - Accelerated Kubernetes Runtime Team
Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI
API @ 4
Distributed Systems @ 7
GPU @ 4
Go @ 7
HPC @ 4
Helm @ 4
Kubernetes @ 7
Security @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Join NVIDIA's Accelerated Kubernetes Runtime team to build the next generation of GPU-accelerated Kubernetes runtime distributions. The role focuses on designing and building automation systems that enable engineers to install, upgrade, and manage cluster runtime packages powering NVIDIA's AI accelerators. You will work on controller systems that optimize runtime components for GPU architectures including GB200/GB300 and Vera Rubin, helping provide reliable, secure, and performant infrastructure for AI researchers and developers.
The Runtime team provides an NVIDIA-accelerated Kubernetes runtime that can be applied to clusters using NVIDIA accelerators, with automation-first, self-service tools designed to minimize manual effort and improve reliability and reproducibility.
Responsibilities
- Design and implement runtime features that orchestrate the lifecycle of runtime components across thousands of Kubernetes clusters without manual intervention.
- Build and maintain systems that configure, package, validate, and distribute accelerated compute components.
- Develop Kubernetes controllers, CustomResourceDefinitions (CRDs), and operators that automate runtime installation, upgrades, and rollback operations through API-driven workflows.
Requirements
- Bachelor's degree in Computer Science or equivalent experience.
- 8+ years of professional experience, including at least 3 years of Kubernetes development experience.
- 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 Kubernetes manifest packaging and templating.
- Demonstrated ability to design and implement automation systems that replace manual processes with reliable, self-service tooling.
Preferred Qualifications
- Experience 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 software supply-chain security practices.
- Experience building multi-tenant platform services, with a focus on API design, versioning, and backward compatibility.
- Experience migrating legacy systems to modern, automated platforms while maintaining zero-downtime operations.
- Contributions to upstream Kubernetes or CNCF projects, or experience extending Kubernetes API machinery.
- Deep understanding of Kubernetes architecture, including API machinery, admission controllers, and resource lifecycle management.
Compensation and Benefits
The base salary range is USD 184,000–287,500 for Level 4 and USD 224,000–356,500 for Level 5. Salary is determined based on location, experience, and the pay of employees in similar positions. The role also includes eligibility for equity and benefits.
Applications will be accepted at least until April 11, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.