Principal Architect, Digital Twin

What you'll do

• Design and own the architecture for machine, jobsite, and sensor digital twins.
• Define the pipeline to convert CAD, PLM, and reality-capture data into simulation-ready OpenUSD assets.
• Develop data models that connect digital twins to live machine telemetry and fleet data.
• Establish validation programs to quantify twin fidelity through test data correlation and regression testing.
• Create workflows for synthetic data generation and neural reconstruction using 3D Gaussian Splatting and NeRF.
• Translate high-level digital twin visions into detailed solution designs, reusable patterns, and engineering standards.
• Lead the evaluation and deployment of new technologies to enhance digital technical capabilities.
• Guide engineering teams in building and implementing the specified digital twin architectures.

What we're looking for

• Bachelor’s degree in Computer Science, Robotics, Mechanical Engineering, Physics, or a related field.
• Master’s or doctoral degree (preferred).
• Experience delivering physically based digital twins of machines, vehicles, robots, or industrial sites for simulation or AI training (preferred).
• Hands-on experience with NVIDIA Omniverse, OpenUSD, and Unreal Engine or Unity (preferred).
• Proficiency in machine and physics modeling, including multibody dynamics, hydraulics, and powertrain systems (preferred).
• Experience building 3D environments from drone photogrammetry, LiDAR, survey, and GIS data (preferred).
• Proficiency in Python and C++, including GPU/CUDA workloads, containers, Kubernetes, and CI/CD (preferred).
• Experience with ROS 2, MQTT, Kafka, or DDS for connecting twins to live machine telemetry (preferred).