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.
Develop predictive control, including MPC.
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