Control Strategy Developer MBD (D/F) 100%

GENERAL MISSION

• Develop model-based design (MBD) control strategies for thermal system management. Optimize 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 strategy 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 (CAN communication)
• ● Collaborate with test engineers for SIL/HIL validation
• ● Evaluate AI/ML approaches for intelligent thermal management (future roadmap)

EDUCATION & QUALIFICATIONS

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

EXPERIENCE REQUIREMENTS

• Years: 5-7+ years in automotive control systems or embedded software development
• Background: Minimum 2 major thermal/powertrain control projects with MATLAB/Simulink
• Technical Focus: Control algorithm development, SIL/HIL validation, vehicle-level software integration
• OEM or Tier1 Experience: Bosch, Continental, Marelli, VW/Audi electronics, or equivalent

Core Competencies (Score Required)

Technical Competency - Required - Evidence

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

Transversal Knowledge - Required - Evidence

• MBD Control - 8/10 - MATLAB/Simulink model development, control block diagrams, state machines
• Simulation Tools - 10/10 - MATLAB/Simulink mastery, COMSOL (optional), system modeling expertise
• University Quality - 8-10/10 - PhD or strong research background provides algorithmic depth
• Project Management - 7/10 - SIL/HIL schedule, cross-functional coordination, deliverable tracking

Soft Skills - Required - Evidence

• Communication skills - 8/10 - Technical presentations to development and OEM teams
• Languages - 10/10 - English (mandatory) , German+, French

Technical Knowledge Areas

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