Cloud Automation Engineer for AI Platforms & CI/CD

Nvidia Corporation; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking an Automation Engineer to join the DGX Cloud Engineering Team. You will help craft and guide AI/GPUs in the Cloud, building development and release processes, and maintaining CI/CD and release tooling for AI Factories.

The role requires strong DevOps, cloud design experience, and collaboration with multiple teams worldwide. You will work on scalable cloud systems, contribute to deploying OSS and in-house tooling, and ensure secure, efficient software releases.

Qualifications

• BS or MS in Computer Science or equivalent from an accredited university with 8+ years of DevOps and Deployment experience, including 2+ years in Golang.
• Expertise in Kubernetes (K8s) and KubeVirt.
• Experience with Docker, containers, and RESTful services.
• Experience with Infrastructure as Code and cloud providers (AWS, etc.).
• Strong communication and problem-solving skills.

Responsibilities

• Design, build, and maintain scalable cloud-based systems for PaaS/IaaS.
• Collaborate with teams to develop new features and improvements.
• Develop, maintain, and improve CI/CD tools for on-prem and cloud deployment.
• Automate release processes and document software functionality.
• Support and document system operations and deployment processes.

Skills

Golang (2+ yrs)

DevOps experience

CI/CD

Cloud design

Kubernetes (K8s)

Docker & Containers

RESTful services

Security awareness

Global infrastructure

Communication skills

Education

BS/MS in CS

Tools

KubeVirt

OpenStack

Red Hat OpenShift

Firecracker

Job description

NVIDIA is seeking an Automation Engineer to join the DGX Cloud Engineering Team. You will help craft and guide AI/GPUs in the Cloud, building development and release processes, and maintaining CI/CD and release tooling for AI Factories.

The role requires strong DevOps, cloud design experience, and collaboration with multiple teams worldwide. You will work on scalable cloud systems, contribute to deploying OSS and in-house tooling, and ensure secure, efficient software releases.