Senior DevOps Engineer

NVIDIA is a global leader in visual computing and accelerated computing technologies. From invention of the GPU to breakthroughs in AI, simulation, robotics, and real-time rendering, the company powers industry-leading advances across gaming, data centers, autonomous vehicles, healthcare, and more.

Omniverse is NVIDIA’s scalable real‑time 3D application development platform. It integrates technologies like OpenUSD, RTX‑accelerated rendering, physics, robotics, and digital twins to enable simulation and collaboration at scale. NVIDIA’s Developer Infrastructure team builds and maintains the critical R&D environments as well as the CI/CD pipelines and orchestration systems upon which Omniverse developer workflows depend.

What you’ll be doing:

• Build and operate highly reliable, scalable CI/CD pipelines based on GitLab and Github, as well as maintain developer R&D environments using virtualized GPU desktop instances for Omniverse and Isaac development environments, across production, staging, and dev systems

• Support orchestration of GPU‑enabled clusters running Linux and Windows workloads using containerization tools (Docker, Kubernetes) and virtualization (VMware, KVM).

• Automate infrastructure provisioning, scaling, and configuration using Infrastructure‑as‑Code (Terraform, Ansible, AWS CDK, Azure Bicep, etc.).

• Monitor and optimize system health, performance, build/test throughput, and pipeline reliability.

• Collaborate closely with Omniverse and Isaac developer teams to smooth release workflows, increase velocity, and enforce code + test quality

What we need to see:

• B.S. (or equivalent experience) with 5+ years of professional experience in DevOps, SRE, or Build/Release engineering roles at similar scale.

• Fluent in Python for scripting, tooling, and automation

• Deep hands‑on experience in CI/CD, virtualization, and container orchestration. Usage of tools like GitLab CI/CD, Jenkins, CircleCI, Docker, Kubernetes is required.

Ways to stand out from the crowd:

• Proven understanding of Linux (and/or Windows) environments and networking.

• Familiarity with GPU‑accelerated systems, CUDA, or NVIDIA DGX / GPU cluster infrastructure.

• Exposure to AI inference workloads, robotics simulation (Isaac), or high‑fidelity 3D graphics pipelines.

• Solid background and experience in infrastructure monitoring, build/test pipeline optimization, or platform engineering.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and dedicated people in the world working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 144,000 USD - 230,000 USD for Level 3, and 168,000 USD - 270,250 USD for Level 4.Applications for this job will be accepted at least until August 19, 2025.NVIDIA is committed to fostering a diverse 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.