Lead Robotics Control Engineer

ReeVR Talent; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Relocation support

Career development opportunities

Comprehensive benefits

Job summary

ReeVR Talent is seeking a Lead Robotics Control Engineer to develop advanced whole-body control for a next-generation robotic platform, working across optimisation, dynamics and real-time control from formulation to deployment on hardware.

You will own hierarchical QP-based controllers, lead technical initiatives, mentor engineers and collaborate with hardware and safety teams. London relocation support is available, with a highly collaborative robotics environment and strong career development.

Qualifications

• Deep hands-on experience in whole-body and optimisation-based robot control.
• Strong QP/NLP solver and real-time optimisation experience.
• Expert modern C++ for real-time systems; Python for analysis and prototyping.

Responsibilities

• 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.

Skills

Whole-body control

QP-based control

Real-time control

C++ for RT

Python for analysis

Technical leadership

Mentoring

Robot dynamics

Tools

QP solvers

Real-time OS

Job description

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.

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.