ReeVR Talent
Lead Robotics Control Engineer
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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.
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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.
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Preferred Experience
- MPC deployed on physical robots.
- Mobile manipulation, dual-arm or legged robotics.
- Pinocchio, Eigen, QP/NLP solvers, ROS2 and real-time Linux.
- System identification, payload estimation or safety-relevant control.
What’s on offer
- Significant technical ownership and influence.
- Highly collaborative robotics engineering environment.
- Comprehensive benefits and strong career development opportunities.
- Competitive relocation support for candidates moving to London.
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