Senior Kubernetes AI Infra Engineer – DGX Cloud | Equity

NVIDIA; Seattle (WA); On-site; USD 184,000 - 357,000; Full time

Job summary

NVIDIA is seeking a senior Kubernetes platform engineer to help build and operate a scalable AI factory Kubernetes fleet within the DGX Cloud organization in Seattle. You will design, implement, and automate cluster management, deployment, and upgrades, partnering with cloud-native engineers and SREs.

You will contribute to end-to-end lifecycle tooling for GPU/APU workloads, emphasize security, reliability, and performance, and influence integrations across NVIDIA’s AI infrastructure platform.

Qualifications

• BS/MS in Computer Science or related field (or equivalent experience).
• 10+ years of proven work experience in large scale environments.
• Expert-level knowledge in Go and C with solid data structures and algorithms.
• Strong understanding of Kubernetes and container technology.
• Deep knowledge of Unix/Linux kernel internals.
• Hands-on automation experience with modern infrastructure tools.
• Proven experience in setting up, maintaining, and automating CI/CD systems.
• Strong background in cloud computing and distributed software design.
• Understanding of performance, security, and reliability in complex distributed systems.

Responsibilities

• Be part of a small, dynamic team exploring innovative deployment and monitoring of GPU/DPUs.
• Design and develop software for managing a fleet of Kubernetes clusters for GPUs and DPUs.
• Join core group working on Cloud Native technologies and improve accelerators in Kubernetes.
• Collaborate with engineering teams across NVIDIA to ensure seamless integration.
• Automate and optimize build, test, integration, and release processes for cloud-native apps.
• Multitask across projects and adapt to evolving priorities.

Skills

Go programming

C programming

Distributed systems design

Cloud computing

Unix/Linux

Automation

CI/CD concepts

Security & reliability

Education

BS/MS in Computer Science or related field

Tools

Kubernetes

GitLab

Argo

Flux

Job description

NVIDIA is seeking a senior Kubernetes platform engineer to help build and operate a scalable AI factory Kubernetes fleet within the DGX Cloud organization in Seattle. You will design, implement, and automate cluster management, deployment, and upgrades, partnering with cloud-native engineers and SREs.

You will contribute to end-to-end lifecycle tooling for GPU/APU workloads, emphasize security, reliability, and performance, and influence integrations across NVIDIA’s AI infrastructure platform.