Teleoperation Software Engineer

Edison Smart®; Greater London; Presencial; GBP 90.000 - 120.000; Jornada completa

Descripción de la vacante

Edison Smart® in London is seeking a Teleoperation Software Engineer in the Controls team to build real-time systems that let people control humanoid robots. The role supports both live operation and data collection for imitation learning.

You’ll work on low-latency control, map human motion via VR, motion capture or exoskeleton inputs, and collaborate with hardware, learning, and controls teams to ship robust teleoperation software on real robots.

Formación

• Experience in real-time control and robotics software deployed on physical robots.
• Knowledge of kinematics, inverse kinematics and motion retargeting.
• Experience with ROS 2 or similar robotics middleware.
• Hands-on hardware debugging with real robots.

Responsabilidades

• Build real-time teleoperation software for full body humanoid control.
• Map human motion onto the robot using VR, motion capture or exoskeleton inputs.
• Maintain low latency and ensure responsive, safe controls on hardware.
• Collaborate with controls, robot learning and hardware teams.
• Develop tooling for high-quality demonstration data collection.

Conocimientos

Real time control

Robotics software

Kinematics

Motion retargeting

Herramientas

ROS 2

Descripción del empleo

Teleoperation Software Engineer, Robotics

London (on-site) | Competitive salary + equity

I’m working with one of the fastest growing humanoid robotics companies in Europe. They’re building general purpose humanoids and scaling quickly across the UK, Europe and the US.

They need a Teleoperation Software Engineer in their Controls team to build the systems that let people control humanoid robots in real time. That work powers both live operation and the data collection that trains the robots to work on their own.

What you’ll do

• Build real time teleoperation software for full body humanoid control
• Map human motion onto the robot (VR, motion capture or exoskeleton inputs)
• Keep latency low and the controls responsive and safe on real hardware
• Work closely with controls, robot learning and hardware teams
• Build tooling for high quality demonstration data collection

What they’re looking for

• Real time control or robotics software deployed on physical robots
• Kinematics, inverse kinematics and motion retargeting
• ROS 2 or similar robotics middleware
• Hands on with hardware and comfortable debugging on real robots

Nice to have

• VR/XR (Quest, Vision Pro, OpenXR) or motion capture
• Humanoid, legged or manipulator teleoperation
• Haptics or force feedback
• Data collection pipelines for imitation learning