Siemens Energy
«Energizamos a la sociedad» apoyando a nuestros clientes en la transición hacia un mundo más sostenible, a partir de tecnologías innovadoras y de nuestra habilidad para convertir las ideas en realidad. Damos forma a los sistemas de energía del hoy y del mañana con cerca de 100.000 empleados en todo el mundo.
Gas Services
Generación de energía con bajas emisiones a través de tecnología, soluciones, servicio y descarbonización. Mejoramos e innovamos el suministro de energía convencional y renovable, y aprovechamos al máximo nuestras fuentes de energía para apoyar la transición energética.
Sobre el papel
- Development of 3D machine learning-based design tools and software applications for aerodynamics, heat transfer, mechanical integrity, and lifetime assessment
- Development and validation of surrogate models and digital twins in accordance with user and project requirements
- Creation of automation scripts and workflows for data preparation in multidisciplinary design optimization (MDO) environments, as well as for model training, validation, and deployment
- Integration of machine learning models into optimization loops and decision-support processes
- Automation of engineering process steps wherever technically and economically beneficial
- Collaboration with interdisciplinary engineering teams to support the development and implementation of data-driven solutions
- Advanced academic background in Mechanical Engineering, Aerospace Engineering, Computer Science, Applied Mathematics, or a related discipline, preferably with a Master's or PhD degree
- Engineering software and programming expertise including development of design tools and applications, with strong Python, C++, Java, Git, and Linux skills
- Machine Learning and data science competence covering ML model development, validation, deployment, and use of scientific computing frameworks such as NumPy, pandas, PyTorch, TensorFlow, and scikit-learn
- Longstanding experience in turbine engineering and AI-enabled applications, including gas/aero turbine design, MDO workflows, digital twins, surrogate models, LLMs, AI, and ML solutions
- Strong analytical and technical capabilities with expertise in statistics, mathematics, uncertainty quantification, database concepts, HPC environments, and cloud platforms such as Azure or AWS
- Professional and personal effectiveness demonstrated through proactive self-management, excellent communication and interpersonal skills, API/service development experience, and eligibility to work under U.S. export control regulations
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