Control Strategy Developer / Control Strategy Developeress

GENERAL MISSION

We are seeking a talented professional to develop model-based design (MBD) control strategies for thermal system management. This role focuses on optimizing compressor capacity modulation, mode switching, and energy efficiency through advanced algorithms and real-time vehicle integration.

KEY RESPONSIBILITIES

• Develop MATLAB/Simulink control system models and algorithms.
• Design compressor capacity modulation strategies for optimal cooling and heating.
• Optimize mode switching logic (cooling ↔ heating ↔ defrost).
• Manage energy for electric vehicles, specifically 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 in future roadmaps.

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 highly valued).

Specialization: Control Systems, Model-Based Design, Embedded Systems, with Machine Learning as an optional focus. A PhD is advantageous as it demonstrates research depth and complex problem-solving capability.

EXPERIENCE REQUIREMENTS

Years: 5-7+ years in automotive control systems or embedded software development.

Background: At least 2 major projects related to thermal or powertrain control utilizing MATLAB/Simulink.

Technical Focus: Control algorithm development, SIL/HIL validation, and vehicle-level software integration.

OEM or Tier 1 Experience: Experience with companies such as Bosch, Continental, Marelli, VW/Audi electronics, or equivalent is preferred.

CORE COMPETENCIES

Technical Competency

• Thermal Systems - 8/10: Understanding of HVAC components, refrigerant cycles, thermal dynamics.
• Vehicle Integration - 8/10: Knowledge of 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

• MBD Control - 8/10: Experience in MATLAB/Simulink model development, control block diagrams, and state machines.
• Simulation Tools - 10/10: Mastery in MATLAB/Simulink, with COMSOL as an optional skill and expertise in system modeling.
• University Quality - 8-10/10: A PhD or strong research background provides algorithmic depth.
• Project Management - 7/10: Proven ability to manage SIL/HIL schedules, cross-functional coordination, and deliverable tracking.

Soft Skills

• Communication Skills - 8/10: Ability to deliver technical presentations to development and OEM teams.
• Languages - 10/10: Proficiency in English (mandatory), with German or French as an added advantage.

TECHNICAL KNOWLEDGE AREAS

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

Apply online using the form below.

Note: Only applications matching the job profile will be considered.