Senior RL Engineer for Real-World Autonomous Excavation

Gravis Robotics; Oxford; On-site; GBP 82,000 - 118,000; Full time

Job summary

Gravis Robotics, based in Zurich, is seeking a robotics engineer to develop data-driven planning and control for autonomous excavation across diverse machines, sites, and soil conditions. You will build robust algorithms and integrate them into production systems in a fast-growing startup environment.

You should have hands-on experience with real robots, sim2real transfer, Python, and C++, and enjoy mentoring others while contributing to a collaborative engineering culture.

Qualifications

• 2-5 years of industry experience in reinforcement learning for control on real robots.
• Experience with GPU-accelerated simulation environments (e.g. IsaacSim/IsaacLab, CARLA, MuJoCo).
• Strong Python skills and experience with PyTorch or similar libraries.
• Proficiency in C++.
• Comfortable debugging real-world system behavior.
• Ability and willingness to travel as required by business projects.

Responsibilities

• Learning-Based Planning and Control for Real Systems: Develop data driven planning and control systems for autonomous excavation that generalize across machine models and soil conditions.
• System Integration: Integrate learned components into a larger software stack and collaborate with engineers.
• Sim2Real: Contribute to simulation improvements that reduce the sim2real gap and define data collection pipelines.
• Mentorship: Provide mentorship and supervision for junior team members, interns, and students.

Skills

Python

Reinforcement learning

C++

Debugging real-world systems

Travel willingness

Tools

PyTorch

IsaacSim/IsaacLab

CARLA

MuJoCo

ROS

Job description

Gravis Robotics, based in Zurich, is seeking a robotics engineer to develop data-driven planning and control for autonomous excavation across diverse machines, sites, and soil conditions. You will build robust algorithms and integrate them into production systems in a fast-growing startup environment.

You should have hands-on experience with real robots, sim2real transfer, Python, and C++, and enjoy mentoring others while contributing to a collaborative engineering culture.