AI Engineer – Physical AI & Digital Twin Systems

Position Summary: Siemens Energy Gas Services (GS) seeks an AI Engineer to build production-grade Physical AI and Digital Twin systems for advanced manufacturing. The role centers on robot perception, reasoning, control, simulation, and deployment across cloud, edge, and real-world operations. You will design, train, evaluate, and deploy AI models that enable autonomous and semi-autonomous robotic workflows across simulation and physical environments, owning the lifecycle from data and experimentation to inference, monitoring, and continuous improvement. Working at the intersection of robotics, industrial software, and AI, you will partner with product, controls, robotics, and domain teams to deliver reliable, observable, and scalable systems that improve autonomy, safety, and productivity.

How You’ll Make an Impact (key responsibilities of role)

• Build and operate data and training pipelines for collection, labeling, augmentation, versioning, and evaluation across simulation and real-world datasets.
• Develop and deploy AI models for robot perception, reasoning, and action, including computer vision, multimodal models, and Vision-Language-Action (VLA) systems.
• Apply sim-to-real methods using synthetic data, domain randomization, imitation learning, transfer learning, and benchmark-driven validation.
• Integrate models with Digital Twin and robotics platforms such as NVIDIA Isaac Sim, Isaac Lab, robot middleware, and orchestration services.