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.
You will also be eligible for equity and benefits.
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 our 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.Skills Required
- BS or MS in Computer Science or equivalent experience with 8+ years in DevOps and Deployment and 2+ years programming in Golang
- Understanding of cloud design including virtualization, global infrastructure, distributed systems, and security
- Expertise in Kubernetes (K8s) and KubeVirt
- Experience bringing up bare metal in a datacenter (PXE Boot, DHCP, DNS, OS)
- Experience building RESTful web services
- Background with Docker and container technologies
- Experience with Infrastructure as Code
- Experience with cloud providers (AWS: Fargate, EC2, IAM, ECR, EKS, Route53)
- Experience with Continuous Integration and Continuous Delivery (CI/CD) tooling and processes
- Excellent interpersonal and written communication skills
- Experience bringing up bare metal infrastructure for HPC
- Expertise with virtualization technologies (Firecracker, KVM, OpenStack, Nutanix AHV, Red Hat OpenShift)
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
