Listed on NVIDIA’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
NVIDIA seeks a senior engineer to advance Kubernetes for AI workloads, working upstream with the Kubernetes and CNCF communities to design APIs and build production infrastructure. This role suits experienced distributed systems engineers passionate about open-source cloud-native platforms and AI infrastructure evolution.
Our summary, not NVIDIA’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Bachelor's degree or higher in Computer Science, Computer Engineering, or 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 and cross-team collaboration skills
Nice to have
- Active contributor to Kubernetes, CNCF, or other open-source infrastructure projects
- Leadership experience in open-source communities such as maintainer, reviewer, or SIG/WG leadership
- Experience designing Kubernetes APIs or authoring KEPs
- Experience with Kubernetes scheduling, networking, Gateway API, or workload APIs
- Understanding of AI infrastructure including GPU scheduling, distributed serving, or LLM infrastructure