Digital Twin & Simulation Integration Engineer-Hybrid

About the role

We are seeking a Simulation Integration Engineer with experience in digital twin, simulation platforms, and NVIDIA ecosystem technologies. This role will help decompose simulation platform capabilities into service-oriented components that can integrate with autonomy services and UI workflows.

Responsibilities

• Work with internal teams and NVIDIA counterparts to understand simulation platform capabilities.
• Help decompose simulation capabilities into reusable service components.
• Define inputs, outputs, data contracts, and artifact exchange patterns for simulation workflows.
• Support integration with digital twin assets, OpenUSD/USD assets, terrain/site data, and simulation outputs.
• Build or support adapter services that connect Helios autonomy services to NVIDIA / Physical AI simulation capabilities.
• Validate simulation outputs for customer-facing operational workflows.
• Document platform boundaries between Physical AI simulation and Helios operational simulation.
• Support proof-of-concept and MVP integration demos.
• NVIDIA / Physical AI capability decomposition document.
• Simulation input/output contract definitions.
• Digital twin / USD asset exchange approach.
• Integration adapter design and implementation support.
• MVP simulation workflow demonstration.

Requirements

• 5+ years of experience in simulation, digital twin, robotics, 3D platforms, or platform integration.
• Experience with NVIDIA Omniverse, Isaac Sim, OpenUSD/USD, or comparable simulation/digital twin platforms.
• Understanding of simulation workflows, scenario definition, asset exchange, and simulation outputs.
• Experience with Python and API-based integration.
• Experience with containerized workloads and cloud environments.
• Ability to work with complex technical ambiguity and define practical integration paths.

Skills

• Experience with NVIDIA Omniverse Kit, Nucleus, Isaac Sim, or Isaac ROS.
• Experience with robotics simulation or autonomous systems.
• Experience with geospatial/terrain data and site modeling.
• Experience with synthetic data generation or AI model validation.
• Experience integrating simulation outputs into customer-facing applications.
• Experience with AWS, Kubernetes, Docker, and CI/CD.

Benefits

• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short