NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are seeking a Staff DB SRE to build the runtime foundation for NVIDIA’s enterprise AI platforms — with a strong emphasis on database infrastructure at scale. This role blends large-scale database transformation with the building and development of GPU-accelerated platforms. You'll develop the software systems, automation frameworks, and high-performance database services that power NVIDIA’s AI workloads at scale. What you'll be doing: Design and operate highly available database clusters (MySQL, MSSQL, Oracle) with automated replication, failover, point-in-time recovery, and disaster-recovery strategies at enterprise scale. Drive database performance engineering — own query optimization, indexing strategies, connection pooling, lock-contention analysis, and storage-engine tuning for production systems handling millions of transactions. Build self-service database lifecycle automation — from one-click cluster provisioning and schema migrations to zero-downtime upgrades, blue-green deployments, and automated capacity scaling. Bridge relational and AI-native data infrastructure — extend traditional database exper
Senior Software Engineer – Kubernetes AI Foundations Open Source
Salary not disclosed
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Role overview
Job description
NVIDIA is building the software foundation for the next generation of AI infrastructure. As AI workloads continue to evolve, Kubernetes and the cloud-native ecosystem must evolve with them.
Our team’s mission is to make Kubernetes the best platform for AI workloads. We work upstream with the Kubernetes and CNCF communities to design new APIs, build production-grade implementations, and shape the future of cloud-native infrastructure for AI.
As a Senior Software Engineer, you'll tackle the most challenging problems at the intersection of Kubernetes, distributed systems, and AI infrastructure.
What you'll be doing
Design, implement, and upstream new capabilities for Kubernetes and CNCF projects.
Collaborate with engineering teams across NVIDIA to identify AI infrastructure challenges and solve them through upstream innovation.
Work closely with Kubernetes SIGs, Working Groups, and the broader open-source community to design and implement new capabilities.
Participate in architecture discussions, API design, technical proposals, and code reviews.
Build reliable, scalable infrastructure software for next-generation AI workloads.
Write clear technical documentation and design proposals.
What we need to see
B.Sc/M.Sc or higher in Computer Science, Computer Engineering, or a related field or equivalent practical experience.
5+ years of software engineering experience building distributed systems, cloud infrastructure, or platform software.
Deep understanding of Kubernetes and the cloud-native ecosystem.
Experience extending, building, or contributing to Kubernetes-based solutions.
Strong communication skills and the ability to collaborate across engineering teams and open-source communities.
Curiosity, adaptability, and an interest in learning AI infrastructure.
Ways to stand out from the crowd
Active contributor to Kubernetes, CNCF, or other open-source infrastructure projects.
Leadership experience in open-source communities, such as maintainer, reviewer, approver, SIG/WG leadership, or similar roles.
Experience designing Kubernetes APIs, authoring KEPs, or driving community proposals through upstream processes.
Experience with Kubernetes scheduling, networking, Gateway API, workload APIs, or other core Kubernetes subsystems.
Understanding of AI infrastructure, including inference systems, GPU scheduling, distributed serving, or LLM infrastructure.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered one of the technology world's most desirable employers. We have some of the most forward-thinking engineers in the industry solving the hardest infrastructure problems at global scale.
If you're excited about building the future of Kubernetes through open source and enabling the next generation of AI infrastructure, we'd love to hear from you.
What they are looking for
Skills & requirements
Qualification
Understanding of AI infrastructure, including inference systems, GPU scheduling, distributed serving, or LLM infrastructure
Hiring company
NVIDIA
We create the world’s fastest supercomputer and largest gaming platform.
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