Control Strategy Developer
Stellenbeschreibung
Overview
In this role you will develop advanced Model-Based Design control strategies for next‑gen thermal management in vehicles. You work with system, software and validation engineers to tune compressor capacity, mode switching, and energy efficiency, integrating control algorithms with embedded software. You’ll explore MIL/HIL validation and consider AI/ML approaches for future roadmap. This position offers cross‑functional collaboration in a fast‑moving, global environment with a focus on innovative thermal management technologies.
Leistungen / Benefits- international and multicultural environment
- fully automated production environment
- opportunity for skill development
- diverse and engaging job
- inclusive and diverse workplace
- Develop MATLAB/Simulink control models and algorithms
- Design compressor capacity modulation strategies for optimal cooling/heating
- Optimize mode switching logic (cooling, heating, defrost)
- Energy management for electric vehicle battery thermal conditioning
- Model-in-the-loop (MIL) and hardware-in-the-loop (HIL) validation
- Integrate control algorithms with vehicle embedded software via CAN
- Collaborate on SIL/HIL validation with test engineers
- Explore AI/ML approaches for intelligent thermal management
- Master's degree in Control Engineering, Electrical Engineering, Mechanical Engineering or related field; PhD advantageous
- Minimum 7 years of automotive control systems or thermal management experience
- Proven delivery of control strategies on at least two major thermal management or powertrain projects
- Strong MBD expertise using MATLAB/Simulink and Stateflow
- Experience with control theory (PID, state-space, adaptive, optimization)
- Solid understanding of automotive thermal systems and refrigerant cycles
- Experience with MIL, SIL, HIL validation and toolchains (dSPACE, ETAS, National Instruments)
- Knowledge of CAN and vehicle software integration
- Familiarity with EV architectures, battery thermal management, and energy management strategies
- Experience with Python and data analysis; ML exposure is a plus
- Understanding of low-GWP refrigerants like R290 is beneficial
- Strong analytical, problem-solving, and communication skills
- collaborative
- proactive
- strong communication
- MATLAB/Simulink
- Stateflow
- Model-Based Design (MBD)
