Robotics Control Engineer (Locomotion)

Seer; Greater London; Hybrid; GBP 60,000 - 100,000; Full time

Job summary

Join an innovative firm at the forefront of robotics, where you will design locomotion control policies for humanoid robots. This role offers the chance to blend classical control theory with cutting-edge reinforcement learning, working on real-world deployments. Collaborate with a talented team of engineers and researchers to push the boundaries of robotic capabilities. If you're passionate about shaping the future of robotics and making machines move like living beings, this is the opportunity you've been waiting for.

Qualifications

• 2+ years experience in control systems for biped or humanoid robots.
• Strong understanding of reinforcement learning in physical systems.

Responsibilities

• Develop control algorithms for locomotion tasks including walking and stair climbing.
• Model and simulate advanced robot dynamics for real-world applications.

Skills

Reinforcement Learning

Python

C++

Control Systems

Humanoid Dynamics

Simulation

Education

Master’s or PhD in Robotics

Control Systems

Mechatronics

Tools

Mujoco

Isaac Sim

Job description

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Seer is working with one of the most technically ambitious robotics companies in the world — developing humanoid robots capable of dynamic, adaptive movement in the real world. Backed by top-tier investors and led by pioneers in AI, controls, and robotics, this team is pushing beyond the frontier of what legged machines can do.

As part of this growth, they’re hiring Robotics Control Engineers with deep expertise in locomotion, reinforcement learning, and dynamic control systems to join their R&D headquarters.

The Role:

You’ll design and implement locomotion control policies — from walking and stair climbing to fall recovery and manipulation-balanced motion. You’ll work at the intersection of classical control theory and reinforcement learning, deploying your work on humanoid platforms in the wild.

• Location: Hybrid or Onsite – US or EU HQs
• Salary: Highly competitive + equity + relocation support
• Robots: Full-size humanoid platforms with real-world deployment targets
• Domains: RL for locomotion, whole-body control, balance optimization, sensor fusion

What You’ll Do:

• Develop and implement control algorithms (classic or RL-based) for complex locomotion tasks — including walking, squatting, stair climbing, fall recovery, and manipulation-aware balancing.
• Model and simulate advanced robot dynamics, incorporating actuator limitations, contact physics, and kinematic constraints.
• Perform robust testing across simulation (Mujoco, Isaac Sim) and real hardware environments, optimizing for stability, speed, and energy efficiency.
• Work across perception, software, and mechanical engineering teams to integrate and refine locomotion control within full-stack systems.

What We’re Looking For:

• Master’s or PhD in Robotics, Control Systems, Mechatronics, or similar
• 2+ years experience in control systems for biped or humanoid robots
• Strong understanding of:
• Reinforcement learning in physical systems
• Humanoid dynamics, balance control, and full-body coordination
• Proficiency in Python and C++ for real-time algorithm development
• Experience with hardware-in-the-loop testing and sim-to-real deployment
• Simulation skills with tools like Mujoco, Isaac Sim, or equivalents
• Experience with model-free RL, imitation learning, or hybrid controllers blending learning and classical methods

Nice to Have:

• Familiarity with real-time control systems and low-level hardware integration
• Deep understanding of actuator modeling and dynamics
• Experience in gait optimization, compliance testing, and energy evaluation
• Knowledge of balance techniques like ZMP, capture point, and whole-body control strategies

This is a rare opportunity to shape the motion and intelligence of real-world humanoid systems — working on some of the hardest and most exciting challenges in robotics today. If you're passionate about making machines move like living beings, this is your moment

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Software Development

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