Jobs

Gravis Robotics is seeking a Senior Reinforcement Learning Engineer to join their autonomy team in Zurich, Austin, or Oxford. This role involves building and deploying autonomous control modules for heavy construction excavators that operate across diverse machines, sites, and soil conditions. The ideal candidate is a roboticist with 2-5 years of industry experience in data-driven planning/control, strong Python and C++ skills, and a proven track record of deploying RL systems on real robots. You will contribute to learning-based planning and control, simulation improvements, and system integration, helping to revolutionize the heavy construction industry.