01Overview
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 settings, 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 Youll 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.
Deploy scalable inference and control services on cloud and edge environments using containers, Kubernetes, APIs, and event-driven workflows.
Establish observability for model and system performance, including experiment tracking, evaluation, drift detection, telemetry, and secure rollback mechanisms.
Collaborate with cross-functional teams to translate industrial use cases into production-ready AI capabilities with measurable reliability and productivity impact.
What You Bring (required qualification and skill sets)
Bachelors or mas .
