DGX Cloud Automation Engineer

NVIDIA; 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 for the DGX Cloud Engineering Team to craft and guide the future of AI and GPU-powered cloud services. You will help build development and release processes for AI Factories software, maintain CI/CD excellence, and enable scalable PaaS/IaaS in cloud and on-prem environments.

The role requires deep DevOps experience, Kubernetes expertise, and the ability to collaborate across teams to deliver high-quality software.

Qualifications

• BS or MS in Computer Science or equivalent with 8+ years in DevOps and deployment.
• Experience with cloud design across virtualization, distributed systems, and security.
• Proficiency in Kubernetes (K8s) and KubeVirt.
• Experience bringing up bare metal in datacenter (PXE Boot, DHCP, DNS, OS).
• Experience building RESTful web services and with Docker/containers.
• Experience with Infrastructure as Code and CSPs (AWS, etc.).
• Experience with CI/CD pipelines and release processes.
• Strong communication and problem-solving skills.

Responsibilities

• Design, build, and scale cloud-based PaaS/IaaS platforms.
• Collaborate with product and engineering teams on new features and improvements.
• Develop and maintain CI/CD tools for on-prem and cloud deployments.
• Lead deployment and release processes with QA and Dev teams.
• Provide support and document software functionality.

Skills

Golang

Kubernetes

KubeVirt

Cloud design

RESTful services

Docker

Infrastructure as Code

CI/CD

Bare metal / PXE

Security

Communication

Education

BS/MS in Computer Science or equivalent

Tools

Terraform

OpenStack

Job description

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.

NVIDIA is looking for a passionate member to join our DGX Cloud Engineering Team as an Automation Engineer. In this role, you will play a significant part in helping to craft and guide the future of AI & GPUs in the Cloud. NVIDIA DGX Cloud is a cloud platform tailored for AI tasks, enabling organizations to transition AI projects from development to deployment in the age of intelligent AI. Are you passionate about software development and strive for quality? Do you pride yourself in building the software that enables AI Factories ? If so, join our team at NVIDIA, where we are dedicated to delivering GPU-powered services around the world!

What you'll be doing:

You will play a crucial role in ensuring the success of the DGX Cloud platform by helping to build our development and release processes for AI Factories software, and maintaining a high standard of excellence in our CI/CD, release engineering tools and processes.

• Design, build, and implement scalable cloud-based systems for PaaS/IaaS.
• Work closely with other teams on new products or features/improvements of existing products.
• Develop, maintain and improve CI/CD tools for on-prems and cloud deployment of our software.
• Collaborate with developers, QA and Product teams to establish, refine and streamline our software release process.
• Support, maintain, and document software functionality.

What we need to see:

• BS or MS in Computer Science or equivalent program from an accredited University/College (or equivalent experience) with 8+ years of experience in DevOps and Deployment with 2+ years of programming in Golang
• Demonstrate understanding of cloud design in the areas of virtualization and global infrastructure, distributed systems, and security.
• Expertise in Kubernetes (K8s) & KubeVirt.
• Expertise in bringing up bare metal in a datacenter (PXE Boot, DHCP, DNS, OS)
• Experience with building RESTful web services.
• Background with Docker and Containers.
• Experience with Infrastructure as Code.
• Background with CSPs, for example: AWS (Fargate, EC2, IAM, ECR, EKS, Route53 etc...).
• Experience with Continuous Integration and Continuous Delivery.
• Excellent interpersonal and written communication skills required with a track record of solving complex problems with elegant solutions.

Ways to stand out from the crowd:

• Experience bringing up bare metal infrastructure for HPC
• Expertise in Virtualization technologies such as Firecracker, KVM, OpenStack, Nutanix AHV & Redhat OpenShift.
• Demonstrate delivery of complex projects in previous roles.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in its hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.