RL Robotics Engineer — Real-World Autonomy

Helsing

Greater London

Híbrido

GBP 90.000 - 140.000

Jornada completa

hace 39 horas
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Ventajas ofrecidas por este puesto de trabajo

Competitive salary
Relocation support
Learning allowance
Health & wellness
Social events
Parental leave
Remote-friendly

Descripción de la vacante

Helsing is a defence AI company. We deliver AI-based capabilities and the enabling foundation for autonomous robotics, focusing on RL-based controllers for robots operating in complex real-world environments.

You will own the full pipeline from simulation to deployment, ensuring learned policies are robust and production-ready under tight hardware constraints, with emphasis on safety, reliability, and real-world robustness.

Formación

  • Hold MSc or PhD in Robotics, ML, Control Engineering, or related field with a focus on RL and robot control.
  • Hands-on experience training and deploying RL-based controllers on real robotic hardware.
  • Familiar with model-free and model-based RL, sim-to-real transfer, domain randomisation, curriculum learning.

Responsabilidades

  • Design, train and deploy RL-based controllers for robots in complex real-world environments.
  • Own the full pipeline from simulation to deployment under hardware constraints.
  • Integrate perception (vision, sensors) to inform robust control policies.

Conocimientos

MSc/PhD in Robotics
Reinforcement learning
Python/C++
RL in real hardware
Communication skills
Research implementation

Educación

MSc/PhD in Robotics or related

Herramientas

MuJoCo
Isaac Gym
PyBullet
Gazebo

Descripción del empleo

Helsing is a defence AI company. We deliver AI-based capabilities and the enabling foundation for autonomous robotics, focusing on RL-based controllers for robots operating in complex real-world environments.

You will own the full pipeline from simulation to deployment, ensuring learned policies are robust and production-ready under tight hardware constraints, with emphasis on safety, reliability, and real-world robustness.

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