Systems Modeling Engineer, Efficiency and Performance

We are currently seeking a Systems Modeling Engineer for the Efficiency & Performance team. This position requires a talented engineer with passion and experience to model physical systems in a multidisciplinary environment.
Our ideal candidate exhibits a can-do attitude and approaches their work with vigor and determination. Candidates will be expected to demonstrate excellence in their respective fields, to possess the ability to learn quickly and to strive for perfection within a fast-paced environment.
The Role:

• Develop and maintain system models to solve mechanical, electrical and thermal problems.
• Build tools to support the pre-processing of simulation parameters and the post-processing of simulation results.
• Analyze the effect of changing parameters on the behavior of a single component or the behavior of complete systems.
• Work with multiple engineering departments to understand physics, create models, and collect parameters for system modeling.  
• Couple the effects of different systems in a BEV including motor, gearbox, inverter, battery, charger, chassis, cooling, and controls. 
• Collaborate with vehicle testing teams on correlating and validating models.
• Create Blackbox models for co-simulation in various simulation environments.

Qualifications:

• Expertise in modeling and simulation.
• Deep understanding of the physics and systems of electric vehicles.
• A strong desire to create state-of-the-art engineering products as an integral part of a very capable team.
• A flair for creative engineering and problem solving.
• Strong experience in scripting simulation workflows and creating in-line comments for documentation. 
• Excellent communication skills in both technical and non-technical environments. 

Preferred:

• Experience in motorsports.
• Experience in creating models for co-simulation. 
• Additional fields of experience (thermal, electromagnetics, structural statics/dynamics, material science).
• Experience of electric vehicle drive units.
• Experience of thermal and mechanical analysis.
• Experience with motor control and power electronics.
• Experience of optimization methods and software.
• Experience with MATLAB and Python.
• Experience with HIL and SIL testing.
• Some knowledge of scripting for simulation process automation.

Education:

• Masters or Bachelors degree in an engineering discipline.