Hardware Simulation Engineer (m/w/d)

Job Description

Clean and affordable energy for all is one of the greatest challenges of our time. Sonnen has been committed to this mission since 2010 and is now represented in Europe, the USA and Australia with over 1,000 team members globally. In Germany, our offices are located in the beautiful Wildpoldsried (Allgäu) and the vibrating heart of Berlin Kreuzberg.

At sonnen, we are building the energy system of the future. To this end, we are developing new technologies and business models that have not existed before. Whether intelligent power storage, virtual power plants or digital services - we set the trends of a new energy world. That means, among other things, the inexpensive production and storage of renewable energy and the intelligent networking of producers and consumers. sonnen thereby gives people around the world the opportunity to become independent of fossil fuels and conventional energy supplier.

We are growing steadily and are looking for people who want to join us in our vision of clean and affordable energy for all while making a positive impact on climate change.

What you will do to help drive the energy transition

• Developing system-level simulations of battery storage systems for performance analysis
• Conducting yield analysis of renewable energy systems
• Development and adaptation of simulation models for electrical components and products
• Analyzing simulation results to optimize system performance and support product development
• Applying and training data-driven models using experimental results
• Creating technical reports and presentations to communicate simulation results and recommendations for design adjustments
• Identifying opportunities to optimize existing product designs and mechanisms

What you will need on that journey

• University degree in energy engineering, electrical engineering, or a comparable field
• Solid understanding of energy systems and their components
• Solid experience (3 years+) in modeling and simulation of battery storage systems
• Familiarity with electrical component modeling on a system level
• Familiarity with applying machine learning techniques to analyze and interpret experimental data
• Proficiency in Python and/or MATLAB Simulink/Simscape for simulation and analysis. Proficiency in system simulation tools like Modelica is a plus
• Strong analytical thinking, problem-solving skills, and an independent, structured, proactive work style
• Good communication skills and a collaborative mindset in a transparent work environment
• Fluent in written and spoken English