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AI Engineer - Physical AI & Digital Twin Systems - Siemens
AI Engineer
AI Engineer focused on building production‑grade Physical AI and Digital Twin systems for advanced manufacturing, integrating robotics, computer vision, and cloud/edge AI to enable autonomous workflows across simulation and real‑world environments.
About the role
Key Responsibilities
- Design, train, and evaluate machine learning models for robot perception, reasoning, and control in both simulated and physical environments.
- Develop and maintain end‑to‑end AI pipelines, from data ingestion and annotation to inference deployment on cloud and edge platforms.
- Collaborate with robotics, controls, and product teams to integrate AI solutions into autonomous and semi‑autonomous robotic workflows.
- Implement monitoring, logging, and continuous improvement processes to ensure model reliability and performance in production.
- Contribute to the creation of Digital Twin representations that mirror real‑world assets for simulation and predictive maintenance.
Requirements
- Strong experience with Python and machine learning frameworks (PyTorch, TensorFlow).
- Hands‑on knowledge of robotics middleware (ROS) and computer vision techniques.
- Proficiency in cloud (AWS/GCP) and edge deployment strategies.
- Experience with Digital Twin concepts and simulation tools.
- Excellent problem‑solving skills and ability to work cross‑functionally in a fast‑paced environment.
Skills
pythonmachine learningcomputer vision