We’re looking for a Lead Robotics Control Engineer to develop advanced whole-body control for a next-generation robotic platform.
You’ll work across optimisation, dynamics and real-time control, taking algorithms from formulation through to deployment on physical robotic hardware.
What you’ll do
Develop hierarchical and weighted QP-based whole-body controllers.
Own task prioritisation, constraints, feasibility and numerical robustness.
Develop inverse dynamics, task-space/operational-space, redundancy, impedance and force control.
Advance dynamic modelling, system identification and payload estimation.
Deploy and debug real-time controllers on high-DoF robotic hardware.
Work with hardware and safety teams and mentor control engineers.
Required Experience
Deep hands-on experience in whole-body and optimisation-based robot control.
Strong QP/NLP solver and real-time optimisation experience.
Strong rigid-body kinematics and dynamics, inverse dynamics and IK.
Proven deployment on real, high-DoF robotic hardware.
Expert modern C++ for real-time systems; Python for analysis and prototyping.
Experience taking control systems from research to reliable hardware deployment.
Strong technical leadership and mentoring skills.
Preferred Experience
MPC deployed on physical robots.
Mobile manipulation, dual-arm or legged robotics.
System identification, payload estimation or safety-relevant control.
We use essential cookies to make this site work. With your permission we would also like to use the optional cookies below. Nothing optional is set until you choose, and you can change your mind at any time from "Cookie settings" at the bottom of every page. Cookie policy.
Essential — keep the site working and secure, and remember the choice you make here. Always on.