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
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of artificial intelligence. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're a creative, curious, and driven technical leader, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 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.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
