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About the Role
We are seeking a highly experienced control systems engineer to design, implement, and optimize the embedded control stack for general-purpose robots. This role involves developing advanced algorithms for motion planning, trajectory optimization, and state estimation, as well as building robust software frameworks for rapid iteration between simulation and hardware. You will lead debugging, tuning, and validation of controllers directly on physical robots.
Responsibilities
- 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
Requirements
- Extensive experience in designing, implementing, and deploying advanced control algorithms on real robotic system products (8+ years)
- 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
- Experience shipping humanoid robots or whole-body control systems
- Impactful published work in control theory, state estimation, or mathematical optimization
- Familiarity with parallel computation on GPUs to accelerate optimization
Skills
- Control systems engineering
- Dynamics
- Kinematics
- Optimal control
- State estimation
- Hardware interfaces
- Sensors (IMUs, F/T sensors)
- Actuation technologies (motors, gearboxes, drivers)
- C++
- Deep learning
- Reinforcement learning
- Vision-language-action models
- Parallel computation on GPUs
Experience Level
- 8+ years