Robotics

What you'll do

• Design and optimize embedded control, motion-planning, trajectory-optimization, and state-estimation systems.
• Develop optimal-control solutions and robust software frameworks for simulation-to-hardware iteration.
• Debug, tune, and validate controllers on physical robots.

What they ask for

• 8+ years designing, implementing, and deploying advanced control algorithms on real robotic system products.
• Deep expertise in dynamics, kinematics, optimal control, and state estimation.
• Strong command of hardware interfaces, sensors, and actuation technologies.
• Production-level mastery of C++ and a track record of reliable, safety-critical software.

Nice to have

• Experience shipping humanoid robots or whole-body control systems.
• Published work in control theory, state estimation, or mathematical optimization; or familiarity with parallel GPU computation.

Tools

C++, IMUs, F/T sensors, nonlinear MPC, convex optimization, GPUs

AI focus

The role calls for openness to deep learning, reinforcement learning, and vision-language-action models as technologies for general-purpose robotics.