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  • London

  • What You’ll Do

    • Design, implement, and optimize the embedded control stack for general-purpose robots

    • Design motion planning and trajectory optimization algorithms for dynamic locomotion and manipulation

    • Build real-time state estimation pipelines for pose, contact, and force sensing, fusing heterogeneous sensor data under noise and uncertainty

    • Formulate and solve optimal control problems (nonlinear MPC, convex optimization, trajectory optimization) for high-performance and stable behavior

    • Build modular and robust software frameworks enabling rapid iteration between simulation and hardware

    • Lead debugging, tuning, and validation of controllers directly on physical robots

    What You’ll Bring

    • Passion for your craft and demonstrated excellence in control systems engineering

    • Extensive experience in designing, implementing, and deploying advanced control algorithms on real robotic system products (8+ years)

    • Deep expertise in dynamics, kinematics, optimal control, and state estimation

    • Strong command of hardware interfaces, sensors (IMUs, F/T sensors), and actuation technologies (motors, gearboxes, drivers)

    • Production-level mastery of C++ with a track record of building reliable, safety-critical software

    • Proven ability to bridge across hardware, software, and algorithms to deliver robust end-to-end systems

    • An open mind about the power of deep learning, reinforcement learning, and vision-language-action models as critical for general-purpose robotics

    • Bonus: Experience shipping humanoid robots or whole-body control systems

    • Bonus: Impactful published work in control theory, state estimation, or mathematical optimization

    • Bonus: Familiarity with parallel computation on GPUs to accelerate optimization

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