As a Control Systems Engineer, you will design and implement control systems (PID, adaptive, model-based) for target tracking and stabilization platforms. You will develop and implement real-time control algorithms for electro-optical systems, ensuring high precision and smooth operation. Your role involves creating mathematical models and simulations to predict performance and refine control strategies in dynamic environments.
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Responsibilities
- 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.
Requirements
- Master’s degree in Mechatronics Engineering, Electronics Engineering, Control Systems Engineering, or a related field (PhD preferred).
- Minimum 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.
- Testing & Validation: System tuning, performance optimization, troubleshooting.
