Robotics Engineer

Grid Dynamics; Greater London; On-site; GBP 85,000 - 120,000; Full time

Benefits offered by this job

blebleeding-edge projects

Motivated team

Job summary

Grid Dynamics seeks an experienced Robotics Control Engineer in London to develop teleoperation for manipulation, mobility, and loco-manipulation. You’ll integrate VR/ gloves/ haptics and design operator workflows, balancing human input with reliable robotic control.

You will work with controls, hardware, and operations teams to push safety, latency, and reliability. This onsite role is based in the client lab in London.

Qualifications

• Strong robotics fundamentals including kinematics and state estimation.
• Experience building teleoperation systems or human-robot interfaces.
• Ability to write reliable software in C++ and/or Python with ROS/ROS2.
• Good intuition for human-in-the-loop dynamics and trust formation.
• Quality mindset with testing, logging, observability, and tuning.
• Strong debugging across the stack from inputs to hardware behavior.
• Comfort iterating on real robots and turning prototypes into robust features.
• Clear communication and collaboration with cross-functional teams.

Responsibilities

• Develop teleoperation capabilities for manipulation, mobility, and loco-manipulation.
• Design operator UIs and input mappings to reduce cognitive load.
• Integrate input devices like VR controllers, gloves, haptics into the stack.
• Translate high-frequency inputs into stable robot commands.
• Build real-time data streaming, calibration, and logging infrastructure.
• Develop shared-autonomy features blending human intent with automation.
• Create safe boundaries, alerts, and recovery flows for operators.
• Define quality metrics for latency, reliability, and observability.
• Stress-test on real hardware and in simulation.
• Collaborate with controls, manipulation, hardware, operations teams.

Skills

C++

Python

ROS/ROS2

Realtime systems

Haptics

Tools

ROS

RTOS

Job description

We are on the lookout for an experienced Robotics Control Engineer in London. In this role, you will develop teleoperation capabilities for controlling robots across a range of tasks, including manipulation, mobility, and loco-manipulation. This is an onsite role, based in our client’s lab in London.

Responsibilities

• Develop teleoperation capabilities for controlling robots across manipulation, mobility, and loco-manipulation tasks.
• Design intuitive operator experiences, including input mappings, visualizations, feedback loops, recovery flows, and workflows that reduce cognitive load and improve operator confidence.
• Integrate input devices such as VR controllers, gloves, haptic devices, motion capture systems, and custom operator stations into the robot software stack.
• Translate noisy, high-frequency human input into smooth, stable, physically feasible robot commands with predictable behavior.
• Build robust teleoperation infrastructure for real-time data streaming, calibration, replay, debugging, logging, operator training, and high-quality demonstration capture.
• Develop shared-autonomy and assistive-control features that blend human intent with robot capability to improve precision, safety, and ease of use.
• Create safe operating boundaries, limiters, alerts, emergency/recovery flows, and clear state feedback so robot operators can use teleoperation safely.
• Define and improve quality metrics for teleoperation systems, including latency, reliability, observability, operator success rate, demonstration quality, and failure modes.
• Stress-test teleoperation systems on real hardware and in simulation, then drive reliability improvements based on operator feedback and observed failures.
• Work closely with controls, manipulation, hardware, and operations teams to ensure teleoperation requirements shape robot design and field workflows.

Requirements for the candidate

• Strong robotics fundamentals, including kinematics, coordinate frames, control interfaces, state estimation basics, and real-time system behavior.
• Experience building a subset of the following: teleoperation systems, operator UIs, shared-autonomy tools, human-robot interfaces, or robot learning data-collection pipelines.
• Ability to write reliable software in C++ and/or Python, with experience in ROS/ROS2, real-time data streaming, or robotic middleware.
• Good intuition for human-in-the-loop systems: how operators perceive robot state, issue commands, recover from errors, and build trust.
• A quality mindset: clean abstractions, testing, logging, observability, performance tuning, and tools that remain usable under pressure.
• Strong debugging skills across the stack, from operator input devices to robot motion, sensors, networking, and hardware behavior.
• Comfort iterating quickly on real robots, learning from operator feedback, and turning prototypes into robust capabilities.
• Clear communication and collaboration with cross-functional teams.

Nice to have

• Hands-on experience building or debugging software for real robotic hardware, ideally in manipulation, mobile manipulation, humanoids, or dexterous systems.
• Experience designing safe workflows for hardware-facing systems where latency, instability, poor feedback, or misuse can create operational risk.
• Experience collecting high-quality demonstrations for imitation learning, behavior cloning, or other robot learning workflows.
• Exposure to intent inference, haptics, force feedback, motion capture, VR/AR interfaces, or custom control devices.
• A product-minded approach to robotics: caring not only that the robot moves, but that control is intuitive, safe, reliable, and pleasant for operators to use.

We offer

• Opportunity to work on blebleeding-edge projects
• Work with a highly motivated and dedicated team