Siemens Energy

• Establishment of best-in-class methodologies for humanoid robotics self-learning, including perception, whole-body control, loco-manipulation, and planning
• Enablement of safe, scalable deployment of learning-based autonomy in factory and field environments
• Integration of research-grade humanoid AI into industrial-grade systems, ensuring robustness, validation, and operational readiness
• Definition of learning paradigms and system architectures, including supervised, reinforcement, hybrid learning, and boundaries between learning and deterministic control
• Design and governance of sim-to-real pipelines, data strategies, and AI lifecycle management, including monitoring, retraining, and deployment playbooks
• Ensuring safety, certification, compliance, and resilience, including autonomy levels, fail-safe mechanisms, and degradation strategies

• A PhD or Master or equivalent expertise in Robotics, AI, Control, or Autonomous Systems
• Extensive long-standing experience in applying ML & AI to physical, real-world systems
• Deep understanding of perception, control, planning, and learning under uncertainty
• Proven track record of deploying AI from pilot stages into industrial operations
• Strong expertise in functional safety and risk mitigation for adaptive systems
• Ability to translate complex AI concepts into engineering and leadership decisions

At Siemens Energy, we are more than just an energy technology company. With ~100.000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.

Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.      

• In addition to an attractive remuneration package in line with the market, you can expect an attractive employer-financed company pension scheme
• We also offer the opportunity to become a Siemens Energy shareholder
• We offer our employees the opportunity to work flexibly and remotely, and our inspiring offices provide space for collaboration and creativity
• The professional and personal development of our employees is very important to us. We provide them with the opportunities to learn and develop in a self-determined way, various attractive programmes and learning materials are available for this purpose
• In relation to the "compatibility of family and work", we have a wide range of offers, e.g. flexible working time models, childcare places at many locations, the possibility of trial part-time work or even a sabbatical