Snapshot of your Day
You will be working as an experienced Transformer Expert with strong digital expertise to combine deep domain knowledge of power transformers with AI and data-driven engineering.
How You’ll Make an Impact
•Apply deep transformer domain expertise to identify and develop high-value use cases across the transformer lifecycle.
•Lead reverse-engineering of transformer designs and manufacturing processes to identify critical bottlenecks and drive lead-time reduction initiatives.
•Develop novel solutions for transformer engineering, design optimization, diagnostics, condition monitoring, predictive maintenance, and asset reliability.
•Translate complex transformer engineering problems into data and AI problems that can be practically solved.
•Work with engineering data, operational data, test results, sensor data, historical performance, and technical documentation to develop data-driven solutions.
•Evaluate and apply digital solutions and advanced analytics to transformer-related engineering applications.
•Support development of scalable digital engineering approaches while maintaining engineering accuracy, reliability, and explicability.
What You Bring
•12+ years of relevant professional experience, with substantial expertise in power transformer design
•Strong understanding of transformer design, operation, testing, diagnostics, performance, failure mechanisms, and lifecycle considerations.
•Strong foundation in electrical engineering and power systems.
•Demonstrated knowledge of Artificial Intelligence and Machine Learning and their application to engineering problems.
•Experience working with engineering and operational datasets.
•Knowledge of Generative AI / Large Language Models and potential applications in engineering workflows is a bonus.
•Strong analytical and problem-solving capability.
Good to Have
•Large scale manufacturing expertise, including understanding of manufacturing processes, quality, testing, and production constraints.
•Experience applying AI/ML within industrial, manufacturing, or energy environments.
•Knowledge of transformer condition monitoring and predictive maintenance.
•Experience with digital twins, simulation, optimization, or physics-informed AI/ML.
•Understanding of industrial IoT, sensor technologies, and data acquisition.
Educational Preferences
•Bachelor’s or master’s degree in electrical engineering, power systems, or a closely related engineering discipline.
•Advanced qualifications or professional expertise demonstrated in AI, Machine Learning, Data Science, or Computational Engineering is preferred.
•PhD in relevant engineering or AI-related specialization would be an advantage.
Soft Skills
•Ability to bridge deep engineering expertise and emerging AI technologies.
•Ability to collaborate effectively across disciplines, cultures, and geographies.
•Innovative mindset with a strong focus on practical implementation and measurable engineering value.
•Ability to challenge conventional approaches while maintaining engineering rigor.
•Continuous-learning mindset and curiosity for emerging technologies.
What Siemens Energy Offers
At Siemens Energy, you will have the opportunity to combine deep energy-domain expertise with cutting-edge AI technologies and contribute to the transformation of a critical global industry.
You will gain exposure to challenging engineering problems, emerging digital and AI technologies, and opportunities for continuous professional and technical development. This role offers an environment to grow as a technical expert while helping shape how advanced AI is applied to the future of energy technology.
