Control Strategy Developer MBD (D/F) 100%

General Mission

The focus is on the development of model-based design (MBD) control strategies for the management of thermal systems. This role involves optimizing compressor capacity modulation, mode switching, and energy efficiency using sophisticated algorithms and real-time integration within vehicles.

Key Responsibilities

• Develop MATLAB/Simulink control system models and algorithms.
• Design compressor capacity modulation strategy for optimal cooling and heating.
• Optimize mode switching logic (cooling ↔ heating ↔ defrost).
• Manage energy for electric vehicle battery thermal conditioning.
• Conduct model-in-the-loop (MIL) and hardware-in-the-loop (HIL) validation.
• Integrate control algorithms with vehicle embedded software (CAN communication).
• Collaborate with test engineers for SIL/HIL validation.
• Evaluate AI/ML approaches for intelligent thermal management as part of the future roadmap.

Education & Qualifications

Minimum: Master's degree in Control Engineering, Electrical Engineering, Mechanical Engineering, or a related field.
University Quality: 8-10/10 (a strong algorithmic and research background is valued).
Specialization: Control Systems, Model-Based Design, Embedded Systems, Machine Learning (optional).
PhD Advantageous: Demonstrates research depth and capability in complex problem-solving.

Experience Requirements

Years: 5-7+ years in automotive control systems or embedded software development.
Background: Involvement in a minimum of 2 major thermal/powertrain control projects using MATLAB/Simulink.
Technical Focus: Development of control algorithms, SIL/HIL validation, and vehicle-level software integration.
OEM or Tier 1 Experience: Relevant experience with Bosch, Continental, Marelli, VW/Audi electronics, or equivalent.

Core Competencies

Technical Competency - Required - Evidence:

• Thermal Systems - 8/10: Understanding of HVAC components, refrigerant cycles, and thermal dynamics.
• Vehicle Integration - 8/10: Expertise in CAN communication, OBD-II signals, and embedded software interfaces.
• AI/Data Science - 9/10: Proficiency in machine learning (Python/TensorFlow), data analysis, and optimization algorithms.

Transversal Knowledge - Required - Evidence:

• MBD Control - 8/10: Proficient in MATLAB/Simulink model development, control block diagrams, and state machines.
• Simulation Tools - 10/10: Mastery of MATLAB/Simulink, with optional expertise in COMSOL and system modeling.
• University Quality - 8-10/10: A PhD or strong research background indicates algorithmic depth.
• Project Management - 7/10: Experience with SIL/HIL schedules, cross-functional coordination, and tracking deliverables.

Soft Skills - Required - Evidence:

• Communication Skills - 8/10: Ability to deliver technical presentations to development and OEM teams.
• Languages - 10/10: Proficient in English (mandatory), with knowledge of German and/or French as a plus.

Technical Knowledge Areas

• Control Theory: Proficiency in PID control, state-space control, optimal control, and adaptive algorithms.
• MATLAB/Simulink: Expertise in Stateflow (finite state machines), Simulink model architecture, and code generation.