> Markdown version of [/jobs/ext/4507801-omniverse-platform-engineer-technical-lead](https://www.wearedevelopers.com/jobs/ext/4507801-omniverse-platform-engineer-technical-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Omniverse Platform Engineer / Technical Lead - **Company:** Icon Clinical Research, Inc - **Location:** Dallas, TX, United States - **Experience:** Expert - **Salary:** $187,200 - **Contract:** Temporary to permanent - **Skills:** C++ (Programming Language), Python (Programming Language), Software Engineering, Isaac Sim, Kubernetes, Hardware Infrastructure, Unreal Engine, NVIDIA Omniverse, Lidar, Docker, Data Generation - **Published:** October 31, 2026 - **Apply:** https://www.dice.com/job-detail/14794b51-0a15-4455-8f63-58fe23b0cbbe ## About the Role * Strong hands-on experience with Python programming * Experience with NVIDIA Omniverse * Working knowledge of OpenUSD * Hands-on experience with NVIDIA Isaac Sim * Good understanding of C++ * 5+ years of software development experience * 1-2 years of technical leadership or team coordination experience, * Robotics, autonomous vehicles, or ADAS experience * ROS2 and sensor simulation (Camera, LiDAR, Radar) * Docker, Kubernetes, or GPU infrastructure * Unreal Engine 5 or synthetic data generation experience Note: Strong Python and NVIDIA Omniverse experience are the primary priorities. Candidates do not need to have every nice-to-have technology listed above. ## Description We are seeking a hands-on Omniverse Platform Engineer / Technical Lead to develop and support a scalable simulation platform using NVIDIA Omniverse technologies. The candidate will work onsite in Dallas, guide a team of remote engineers, contribute to development, and coordinate technical deliverables., * Develop and enhance simulation platform components using Omniverse, OpenUSD, and Isaac Sim. * Build Python-based extensions, tools, and automation workflows. * Guide developers, coordinate sprint activities, and resolve technical blockers. * Support platform integration, testing, and delivery. * Use AI-assisted development tools to improve engineering productivity.