Siemens Energy
“We energize society” door onze klanten te ondersteunen in hun transitie naar een duurzamere wereld, met behulp van innovatieve technologieën en ons vermogen om ideeën tot werkelijkheid te brengen. Met bijna 100.000 medewerkers wereldwijd creëren wij de energie systemen van vandaag en morgen.
Over de functie
A Snapshot of Your Day As part of our global Artificial Intelligence organization, you will drive research and development of cutting‑edge computer‑vision technologies for next‑generation energy systems. Your work will focus on exploring new methods in visual intelligence, developing prototypes, and transforming fundamental research into scalable solutions. You will investigate novel approaches for automated defect detection, autonomous operation, and visual asset analysis—laying the technological foundations that shape Siemens Energy’s digital future. Honestly, we don’t have all the answers. Honestly, given the scale of the challenge we need many types of perspectives to help reimagine the future. And honestly, we can’t do it alone. Our team is looking for innovative, enthusiastic, and versatile data, digital, and AI professionals that will drive us forward on this exciting venture.
How You’ll Make an Impact
- Conduct applied research in computer vision, machine learning, and 3D perception to advance our internal R&D roadmap.
- Develop novel algorithms, models, and computational methods, from ideation and experimentation to prototype implementation.
- Evaluate state‑of‑the‑art scientific literature and identify opportunities for technology transfer into energy‑sector applications.
- Collaborate with internal and external partners to jointly drive the application of Computer Vision technologies across Siemens Energy.
- Publish and present findings to internal and external stakeholders.
- Build experimental pipelines, conduct systematic testing, and document scientific results to guide future development.
- University degree (Masters or PhD preferred) in Computer Science, Engineering, Mathematics, Physics, or a related field with a strong focus on computer vision or image processing.
- Deep expertise in modern CV techniques: object detection, semantic/instance segmentation, feature extraction, 3D reconstruction, generative models, sensor fusion, and related methods. c
- Strong programming skills in C/C++ and Python; experience with research frameworks (PyTorch, TensorFlow), computer‑vision libraries, and GPU‑accelerated computing.
- Solid mathematical background (linear algebra, optimization, 3D geometry) and familiarity with sensor technologies and imaging systems.
- Experience in scientific research environments (industry R&D, lab, or academic research).
- Ability to collaborate across international, multidisciplinary research teams.
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