Robotics Engineer (AI)

Company: Stealth Robotics Startup
Apply for the Robotics Engineer (AI)
Location: London
Job Description:

Robotics Engineer (AI)

The Role:

We’re looking for a senior Robotics AI Engineer to join our core team. You’ll work at the intersection of hardware, data, and learning — making the physical system work end-to-end and bridging research with real-world deployment.

This is a hands-on role for someone who builds, ships, and debugs real systems. Day-to-day, you’ll be:

  • Integrating and operating real robots (starting with robotic arms, expanding to other form factors) with our stack
  • Building and maintaining the data pipelines that turn raw multimodal capture into clean, synchronised training data
  • Solving retargeting — mapping human demonstrations onto different robot embodiments accurately and stably
  • Owning calibration end-to-end, across humans, sensors, and robot platforms
  • Running sim-to-real workflows and closing the gap between simulation and physical performance
  • Deploying trained policies onto physical hardware and debugging until they work reliably
  • Collaborating directly with our ML and hardware teams to make sure the full stack performs as one system

Required Experience:

  • Bachelor’s or Master’s in Mechatronics, Mechanical Engineering, Robotics, or a closely related field
  • Proven hands-on experience deploying real robotic systems (not just simulation)
  • Strong robotics software background — kinematics, dynamics, control
  • Python (production-grade), comfortable in Linux environments
  • Sim2Real workflows and the practical debugging that comes with them
  • Sensor synchronisation across cameras, IMUs, encoders, and tactile sensors
  • Experience with at least one of: LeRobot, Isaac Sim/Lab, or equivalent robotics frameworks
  • Demonstrated ability to debug real systems under pressure

Strong Bonus:

  • PhD in Mechatronics, Robotics, or a related discipline
  • Working knowledge of AI / ML — particularly applied to robotics
  • Prior work with VLA models (π0, π0.5, OpenVLA, RT-2 or similar)
  • ROS 2, C++, Git, CI/CD, containerisation (Docker)
  • Experience with imitation learning, diffusion policies, or flow matching for robotics
  • Open-source contributions to robotics projects
  • Inverse kinematics, motion retargeting, or teleoperation pipeline experience

Posted: April 24th, 2026