Senior / Staff Robotics and Controls Engineer

Strong foundation in robot kinematics and dynamics - forward/inverse kinematics, Jacobians, rigid-body dynamics, and ideally continuum, concentric tube, or tendon-driven systems

Fluent with classical and modern control -- PID, feedforward, model-based, optimal/MPC, impedance/admittance -- and the judgment to know when each is appropriate

Hands-on experience implementing control algorithms in modern C++ (14/17/20) for real-time, safety-critical systems, with Python for rapid prototyping, data analysis, and tooling

Motion planning and trajectory generation experience — constrained nonlinear optimization, collision-aware planning, or task-space control paradigms

State estimation and sensor fusion experience — Kalman/EKF/UKF, particle filters, or nonlinear observers, with a working understanding of noise models and sensor calibration

Comfortable characterizing real electromechanical systems on the bench; you can design the experiment, run it, analyze the data, and turn it into a model.

Close-to-hardware sensibility: encoders, motor controllers, force sensors, brakes, IMUs -- you understand the gap between textbook systems and real ones

Strong object-oriented design instincts, with the discipline to factor algorithm code so it can be unit-tested, reviewed, and maintained as the team scales

Medical robotics or safety-critical systems background -- you know why "it works in sim" or "it works most of the time" isn't good enough

Understanding of how early design decisions cascade into downstream cost; ability to make smart calls on clinical workflow, regulation, and risk management to save time and effort later