Danfoss is seeking a System Simulation Specialist to develop and execute system simulations of data center cooling systems, using advanced simulation software to optimize designs, predict performance, and support the development of innovative cooling solutions.
Requirements
- Experience with system simulation tools like Dymola/Modelica, Modelon Impact, JuliaSim, Simulink/Simscape
- Programming knowledge (e. g. with Python or Matlab) to automate simulation and postprocessing is an advantage
- Background in new technologies like machine learning and IoT would be an additional plus
- Experience and/or knowledge in the field of energy engineering, decarbonization and digitalization or similar
- Participate in the validation and verification of simulation models through experimental testing.
- Contribute to the development of best practices for the use of simulation in data center design.
Responsibilities
- Develop and execute simulations of data center cooling systems using industry-standard software.
- Analyze simulation results to identify areas for improvement in system design and performance.
- You act as a driver for model-based development within Danfoss.
- Collaborate with engineering teams to integrate simulation results into the design process.
- Develop and present technical reports and presentations to internal and external stakeholders.
- Stay abreast of the latest advancements in data center cooling technologies and simulation techniques.
- Support the development of new data center cooling products and solutions through simulation-based design optimization.
Other
- At least 3 years of work experience in the heating and cooling industry is required.
- Knowledge of Agile/Scrum methods and their application to project management is necessary.
- A creative, curious and open mind towards to new solutions and innovation
- Fluent English language skills
- The base salary range represents the low and high end of the range for this position. Actual salaries will vary depending on factors including but not limited to location, experience, and performance.