Senior RL Engineer — Real Robotics & Sim2Real

Gravisrobotics; Zürich; Vor Ort; CHF 120.000 - 170.000; Vollzeit

Zusammenfassung

Gravis Robotics in Zurich, Switzerland is building autonomous systems for heavy machinery, combining learning-based planning with real-world deployment. You will develop data-driven control modules that operate across machines and sites, addressing diverse soils and sim2real challenges.

This role requires hands-on experience with real robots, strong Python (PyTorch) and C++, and the ability to debug complex robotic systems in production environments.

Qualifikationen

• 2–5 years in RL for control/planning on real robots
• GPU-accelerated simulators experience (IsaacSim/IsaacLab, CARLA, MuJoCo)
• Strong Python skills; PyTorch or similar
• Proficiency in C++
• Comfortable debugging real-world system behavior
• Willingness to travel as required

Aufgaben

• Develop data-driven planning and control systems for autonomous excavation across machines and soils
• Improve simulations to reduce the sim2real gap
• Define data collection pipelines for real data in policy training
• Design experiments for continuous performance and robustness improvements
• Explore adaptive and online reinforcement learning in deployed systems
• Provide mentorship for junior team members, interns, and students
• Integrate learned components into a larger software stack
• Collaborate with excavation and motion planning engineers
• Build tools for analysing and evaluating the behaviour of learned components

Kenntnisse

Reinforcement learning for control

Python

C++

Debugging real-world systems

Travel willingness

Tools

PyTorch

IsaacSim/IsaacLab

CARLA

MuJoCo

Jobbeschreibung

Gravis Robotics in Zurich, Switzerland is building autonomous systems for heavy machinery, combining learning-based planning with real-world deployment. You will develop data-driven control modules that operate across machines and sites, addressing diverse soils and sim2real challenges.

This role requires hands-on experience with real robots, strong Python (PyTorch) and C++, and the ability to debug complex robotic systems in production environments.