Control Engineer (Legged Locomotion), New Delhi

We are looking for a Control Engineer with strong fundamentals in classical and modern control systems to support the deployment of stable and robust control on legged robotic platforms. Key Responsibilities Design, analyse, and implement control algorithms for legged locomotion systems. Design and deploy Model Predictive Controllers (MPC) for balancing and trajectory tracking.Develop and tune classical controllers including PID, lead-lag, state-space, and observer-based controllers. Analyse system stability using Nyquist plots, Bode plots, root locus, Lyapunov stability, and frequency-domain methods. Model and control nonlinear dynamic systems including inverted pendulum and double inverted pendulum systems.Work on dynamic balancing, disturbance rejection, contact stability, and whole-body control concepts. Validate controllers through simulation and real-world robotic deployment. Required Qualifications Minimum Master’s degree in Robotics, Control Systems, Mechanical Engineering, Electrical Engineering, or a related field.Strong background in Control Theory, Dynamics, and Robotics. Experience with stability analysis and classical control methodologies. Hands-on experience with MPC deployment in real-time systems. Familiarity with legged robot dynamics and locomotion principles. Proficiency in MATLAB/Simulink, Python, or C++.Understanding of nonlinear systems and trajectory optimisation is preferred. Preferred Experience Experience with humanoids, quadrupeds, or double inverted pendulums systems. Knowledge of ROS/ROS2 and simulation tools such as Gazebo or MuJoCo. Exposure to real-time embedded control systems and hardware deployment.Experience with Reinforcement Learning (RL) for control or locomotion tasks would be a nice to have.