Principal Cloud Engineer: Kubernetes & AI Infra, Equity

NVIDIA Gruppe; Seattle (WA); On-site; USD 272,000 - 431,000; Full time

Benefits offered by this job

Equity

Benefits package

Job summary

NVIDIA Gruppe in Seattle is seeking a Principal Software Engineer for DGX Cloud to lead development of cloud infrastructure for ML/AI workloads, focusing on Kubernetes fleet management and GPU/DPUs. You will own end-to-end software and collaborate across engineering teams.

The role demands deep systems programming, Linux knowledge, and experience with CI/CD, cloud computing, and security. Join a world-class team building scalable, reliable AI factory infrastructure.

Qualifications

• BS/MS in Computer Science or related field or equivalent experience.
• 15+ years of proven work experience in large scale environments.
• Expert-level knowledge in systems programming languages Go and C.
• Strong understanding of Kubernetes and container technologies.
• Deep Unix/Linux kernel/internal knowledge.
• Hands-on automation with modern infrastructure tools.
• Experience with CI/CD systems and cloud computing.

Responsibilities

• Design and develop software to manage a fleet of Kubernetes clusters for GPUs/DPUs.
• Lead and contribute to Cloud Native initiatives across NVIDIA teams.
• Automate build, test, integration, and release processes.
• Collaborate with engineers to ensure seamless integration.
• Optimize deployment safety and reliability for AI infrastructure.
• Balance multiple projects with evolving priorities.

Skills

Go

C

Kubernetes

Linux

CI/CD

Algorithms & Data Structures

Education

BS/MS in Computer Science or related field

Tools

Gitlab

Argo

Flux

Job description

NVIDIA Gruppe in Seattle is seeking a Principal Software Engineer for DGX Cloud to lead development of cloud infrastructure for ML/AI workloads, focusing on Kubernetes fleet management and GPU/DPUs. You will own end-to-end software and collaborate across engineering teams.

The role demands deep systems programming, Linux knowledge, and experience with CI/CD, cloud computing, and security. Join a world-class team building scalable, reliable AI factory infrastructure.