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. 

• Development and maintenance of system-level models for gas turbines integrating thermodynamic, mechanical, and control subsystems

• Creation and deployment of software tools for performance prediction, transient analysis, and operability assessment

• Implementation of automation scripts and multidisciplinary optimization frameworks to support design trade studies

• Application of AI/ML, digital twin technologies, and data analytics to enhance decision-making and predictive capabilities

• Collaboration with component teams to ensure accurate system integration and requirements alignment

• Support of requirements definition, architecture development, system validation, and training of engineering teams

• Master´s degree or equivalent experience in mechanical engineering or aerospace engineering and professional background of 3+ years (or PhD) in the gas or aero turbine industry with expertise in component integration and large turbine fundamentals

• Experience with system modeling tools (e.g., NPSS, proprietary modeling environments) and thermodynamic cycle analysis including steady-state, transient simulations, and engine operability

• Proficiency in programming languages such as Python, Fortran, Bash, C, and C++ in Linux environments, including version control with GitLab

• Knowledge of control systems, sensor integration, data acquisition, and high-performance or cloud-based computing environments (e.g., Azure, AWS)

• Familiarity with digital twin frameworks and AI/ML applications in system-level engineering

• 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 programs 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