Senior Robotics control Engineer_Locomotion

JR United Kingdom; Woking; On-site; GBP 60,000 - 90,000; Full time

Job summary

A pioneering AI and robotics company is seeking a Senior Robotics Control Engineer specializing in locomotion. The role entails developing precise control algorithms for humanoid robots, focusing on advanced techniques in dynamics and reinforcement learning. Candidates will benefit from a competitive salary and the opportunity to work with cutting-edge technologies in a creative startup environment.

Benefits

Highly competitive salary

23 vacation days per year

Flexible working hours

Opportunity to work with cutting-edge AI and Robotics technologies

Dynamic startup environment fostering innovation

Qualifications

• At least 5 years of experience in control systems for biped robots.
• Expertise in locomotion pipelines, whole-body control, and advanced RL.
• Hands-on experience with hardware-in-the-loop testing.

Responsibilities

• Design and implement control algorithms for locomotion tasks.
• Model and simulate complex dynamics considering robot kinematics.
• Collaborate with software and hardware teams to integrate control strategies.

Skills

Model predictive control

Reinforcement learning

Humanoid robot dynamics

Python

C++

Sensor fusion

Education

Masters or PhD in Robotics, Control Systems, or Mechatronics

Tools

Mujoco

Isaac Sim

Job description

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Senior Robotics Control Engineer - Locomotion

Client: TTE Staffing

Location: Woking, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Views: 3

Posted: 04.06.2025

Expiry Date: 19.07.2025

Job Description:

About the Job

A pioneering AI and robotics company based in the UK is creating the world's most advanced, reliable, scalable, and safe humanoid robots. Their first humanoid robot, HMND 01, is a next-generation labor automation unit designed to deliver highly efficient services across various industrial use cases.

Our Mission

We aim to create the world's leading, scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and enhance human capacity.

Vision

We believe in a future where artificial intelligence opens new horizons, enabling humans and machines to build a new era of knowledge and discovery. Our development of functional humanoid robots supports a future of abundance and well-being, where poverty diminishes and people have the freedom to pursue their interests. The evolution towards universal basic income is a key part of this progress.

Solution

As demand on our environment grows and labor shortages increase, industries like manufacturing, construction, and logistics face rising pressure. Deploying humanoid robots in hazardous or monotonous environments aims to protect human well-being and address global labor shortages.

We seek a highly skilled Staff Control Engineer to oversee locomotion control systems for biped humanoid robots. This role involves developing advanced control algorithms focused on precision, efficiency, and adaptability, including walking, balancing, fall recovery, and mobility tasks. The ideal candidate will have expertise in locomotion pipelines, whole-body control, and reinforcement learning.

Key Responsibilities

• Design and implement control algorithms (classic or RL-based) for locomotion tasks such as walking, balancing during manipulation, squatting, stair climbing, and fall recovery.
• Model and simulate complex dynamics considering robot kinematics, actuator limitations, and environmental interactions.
• Test algorithms in simulated and real-world environments to validate performance.
• Collaborate with software, hardware, and perception teams to integrate control strategies into the robotic system.

Required Qualifications

• Masters or PhD in Robotics, Control Systems, Mechatronics, or a related field.
• At least 5 years of experience in control systems for biped robots, focusing on locomotion.
• Proficiency in model predictive control (MPC), optimal control, and feedback control loops.
• Expertise in reinforcement learning applications for robotics.
• Strong knowledge of humanoid robot dynamics and balance control.
• Experience with hardware-in-the-loop testing and deployment.
• Hands-on experience with simulation platforms like Mujoco, Isaac Sim, or similar.
• Proficiency in Python and C++ for algorithm development.
• Understanding of advanced RL topics (model-free RL, imitation learning, hybrid control).
• Familiarity with real-time control systems, actuators, and sensors.
• Experience with sensor fusion for balance and locomotion (IMUs, encoders, force/torque sensors).

Preferred Qualifications

• Understanding actuator dynamics and modeling.
• Deep knowledge of legged robot dynamics and control (ZMP, capture point control).
• Experience designing control algorithms for actuator performance (torque, force, impedance).
• Familiarity with SEAs, harmonic drives, direct drive motors, and custom actuators.
• Experience with full robotic system integration and validation.
• Skilled in HIL and SIL simulation design for control testing.
• Experience developing automated test frameworks for actuators and control systems.
• Knowledge of failure mode analysis, robustness testing, and system identification.
• Ability to validate and tune controllers on humanoid platforms in lab and field.
• Experience with gait optimization and energy efficiency evaluations.

Benefits

• Highly competitive salary
• 23 vacation days per year
• Flexible working hours
• Opportunity to work with cutting-edge AI, Robotics, Blockchain technologies
• Dynamic startup environment fostering innovation