Control Engineer

• Design and implement control systems (PID, adaptive, model-based) for target tracking and stabilization platforms.
• Develop and implement real-time control algorithms for electro-optical systems, ensuring high precision and smooth operation.
• Create mathematical models and simulations to predict performance and refine control strategies in dynamic environments.
• Collaborate with hardware and software teams to integrate control systems with sensors (IMU, gyroscopes, accelerometers) and actuators.
• Conduct system tuning, validation, and optimization to meet stability, accuracy, and response time targets.
• Test, troubleshoot, and document control algorithms in both lab and field environments to ensure performance and reproducibility.
• Create and deliver technical papers, reports, and proposals to internal and external stakeholders.
• Support laboratory testing and qualification efforts for optical systems and sensor products.
• Develop test plans, collect and analyze data, and document results.
• Assist business development by conducting market studies, evaluating emerging technologies in optical sensor systems, and providing recommendations.
• Provide mentorship, technical oversight, and task delegation as needed.

Education & Experience:

• Master’s degree in Mechatronics Engineering, Electronics Engineering, Control Systems Engineering, or a related field (PhD preferred).
• 5+ years of experience in control systems engineering, with a focus on gimbal stabilization.
• Strong understanding of control theory and control system design (PID, state-space, adaptive control) and model-based approaches for dynamic systems.
• Experience designing control algorithms for stabilization and tracking systems, such as gimbals and optical platforms.
• Hands-on experience implementing real-time control algorithms in embedded systems, PLCs, or DSPs.
• Proficiency in system modeling and simulation using MATLAB/Simulink.
• Knowledge of C, C++ for embedded system development is a plus.
• Experience working with sensors (gyroscopes, accelerometers, etc.) and actuators used in target tracking and stabilization.
• Expertise in testing, tuning, and validating control systems for high-precision applications in dynamic environments.

Key Skills:

• Control System Design: PID, state-space, adaptive control.
• Algorithm Development: Real-time control for tracking and stabilization.
• System Modeling & Simulation: MATLAB/Simulink.
• Embedded Systems & Programming: C, C++ (preferred), PLCs, DSPs.
• Sensors & Actuators: IMU, gyroscopes, accelerometers.
• Testing & Validation: System tuning, performance optimization, troubleshooting.
• Technical Documentation & Reporting: Creating reports, proposals, and technical papers.