MBD controls

The MBD (Model-Based Design) Controls Engineer is responsible for developing, modeling, simulating, testing, and validating control algorithms and embedded control systems for complex engineering products and equipment. The role typically involves using model-based development tools to design control strategies, generate software, troubleshoot system performance, and collaborate with mechanical, electrical, software, and systems engineering teams. The engineer supports requirements development, simulation, Hardware-in-the-Loop (HIL) testing, verification and validation, and continuous improvement of control systems.

• Bachelor's degree in Electrical Engineering, Controls Engineering, Mechanical Engineering, Mechatronics, Robotics, Computer Engineering, or a related technical discipline.
• Typically 2-5+ years of experience in controls engineering, embedded systems, model-based development, or a related field.
• Strong experience with MATLAB/Simulink and Model-Based Design methodologies.
• Knowledge of control systems theory, feedback systems, PID control, state-space modeling, and system dynamics.
• Experience with MIL/SIL/HIL testing and control-system verification and validation.
• Programming experience in C/C++, MATLAB, Python, or similar languages.
• Understanding of embedded systems, sensors, actuators, and real-time control systems.
• Experience with requirements management and traceability tools is preferred.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to work effectively in cross-functional engineering teams.
• Excellent technical communication and documentation skills.
• Control algorithm implementation and verification for Carrier Rooftop NPD and sustaining programs.
• Implement Control Algorithms: Develop and refine control algorithms in Simulink, ensuring compliance with system specifications and performance requirements.
• Testing: Develop, execute, and refine unit and integration tests in MATLAB and Simulink to verify control algorithm against control requirement.
• Model-Based Design and Analysis: Basic knowledge in heat transfer, two-phase flow, and thermodynamic cycle and conduct model-based analysis for control design and improvement.
• Perform dynamic analysis of non-linear systems in development of control algorithms including system identification, controllability, robustness, stability, and optimization.
• Model-Based Verification and Validation: Utilize MATLAB, Simulink, and FMI Toolbox to implement and execute model-based verification and validation, ensuring system performance and functionality.
• Lab Testing and Debugging: Support lab testing by analysing results to guide refinements in plant model fidelity and control algorithms, identifying control-related issues, and implementing corrective actions to enhance system performance and reliability.