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