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.
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