We are seeking an experienced Omniverse Platform Engineer to deploy, configure, operate, and maintain the NVIDIA Omniverse platform supporting digital twins, 3D simulation, robotics, rendering, and synthetic data workloads.
Key Responsibilities
- Deploy, configure, secure, and maintain NVIDIA Omniverse platform services and Nucleus environments.
- Manage Omniverse extensions, packages, connectors, permissions, storage, backups, and platform upgrades.
- Automate platform provisioning, configuration, health checks, monitoring, releases, and recovery processes.
- Monitor and optimize GPU utilization, network performance, storage throughput, caching, and collaborative workflows.
- Troubleshoot platform issues across complex 3D rendering, simulation, robotics, and synthetic data workloads.
- Manage Linux-based infrastructure, containers, GPU systems, networking, storage, and identity integrations.
- Support developers and engineering teams using Omniverse for digital twin and simulation applications.
- Integrate Omniverse platform services with CI/CD pipelines and enterprise systems.
- Implement platform monitoring, logging, alerting, and operational reliability practices.
- Maintain platform security, access controls, backup strategies, and disaster recovery procedures.
- Support environment upgrades, release management, configuration changes, and production deployments.
- Collaborate with simulation engineers, robotics teams, developers, infrastructure teams, and solution architects.
Required Technical Skills
- 8–15 years of experience in platform engineering, infrastructure engineering, DevOps, or related roles.
- Hands-on experience deploying and managing the NVIDIA Omniverse platform.
- Strong knowledge of Omniverse Nucleus, platform services, extensions, and connectors.
- Experience with Linux administration and production infrastructure management.
- Knowledge of GPU infrastructure, GPU performance optimization, and resource management.
- Strong understanding of networking, storage, identity management, and access controls.
- Experience with automation, monitoring, troubleshooting, and platform lifecycle management.
- Experience supporting production environments and resolving complex infrastructure issues.
- Understanding of 3D simulation, rendering, digital twins, robotics, or synthetic data workloads.