Used Tools & Technologies
Not specified
Required Skills & Competences ?
Ansible @ 4 Docker @ 4 Jenkins @ 4 Kubernetes @ 4 Linux @ 4 DevOps @ 6 Terraform @ 4 Python @ 6 R @ 4 GitHub @ 4 CI/CD @ 4 AWS @ 4 Azure @ 4 Networking @ 4 SRE @ 6 CUDA @ 3 GPU @ 4Details
NVIDIA is a global leader in visual and accelerated computing technologies. The Omniverse team builds a scalable real-time 3D application development platform integrating OpenUSD, RTX-accelerated rendering, physics, robotics, and digital twins. The Developer Infrastructure team builds and maintains critical R&D environments, CI/CD pipelines, and orchestration systems used by Omniverse developer workflows.
Responsibilities
- Build and operate highly reliable, scalable CI/CD pipelines based on GitLab and GitHub.
- Maintain developer R&D environments using virtualized GPU desktop instances for Omniverse and Isaac development 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.
Requirements
- 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
- 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.
Compensation and benefits
- Base salary ranges provided by level:
- Level 3: 144,000 USD - 230,000 USD
- Level 4: 168,000 USD - 270,250 USD
- You will also be eligible for equity and benefits (see NVIDIA benefits page).
Other information
- Applications accepted at least until August 19, 2025.
- NVIDIA is an equal opportunity employer and committed to fostering a diverse work environment.