Control Systems Engineer – Robotics Division

Job Description:We are seeking a highly skilled and motivated Control Systems Engineer to join our Robotics Division. The ideal candidate will design, develop, and implement advanced control algorithms to enhance the precision, stability, and intelligence of our robotic systems. The candidate will work closely with mechanical, embedded systems, and software teams to develop and deploy robust, real-time control solutions for robotic platforms.Key Responsibilities:Design, model, and implement control algorithms (PID, LQR, MPC, adaptive control, etc.) for robotic and mechatronic systems.Develop motion control solutions for manipulators, drones, and mobile robots.Perform system modeling, simulation, and performance analysis using MATLAB/Simulink or Python.Integrate control systems into embedded platforms or real-time frameworks (e.g., ROS).Conduct system identification, parameter tuning, and stability verification.Collaborate with multidisciplinary teams to ensure control solutions align with mechanical and electrical designs.Optimize control performance through experimental testing and data analysis.Research and apply modern techniques such as reinforcement learning and AI- based control for robotic applications.Document control architectures, experimental setups, and performance outcomes.Job Requirements:Education & Experience:Bachelor’s or Master’s degree in Control Engineering, Mechatronics, Robotics, Electrical/Electronic Engineering, or a related field.Minimum of 2 years of hands-on experience in control systems design, modeling, and implementation.Proven experience working on robotic or automation projects.Technical Skills:Strong understanding of control theory, system dynamics, and state-space modeling.Proficiency with MATLAB/Simulink, Python, or C/C++ for control design and simulation.Experience with embedded systems or real-time control environments.Familiarity with sensors and actuators integration (IMUs, encoders, motors, LiDAR, etc.).Working knowledge of ROS (Robot Operating System) or similar frameworks.Knowledge of adaptive, optimal, or AI-based control methods is a plus.Soft Skills:Strong analytical and problem-solving skills.Excellent teamwork and communication abilities.A passion for innovation and continuous learning in robotics and automation.