Description
Gravis Robotics is hiring a Simulation-to-Reality Engineer to help close the sim2real gap for autonomous construction-machine controllers. The role involves building machine and dynamics models, selecting sequence or state-space architectures, characterizing unmodeled effects, determining data requirements, defining performance metrics, and developing methods to detect changing machine properties. The position requires a degree in a relevant field, strong Python and PyTorch skills, experience modeling time-series or dynamical-system data, and strong analytical abilities; reinforcement learning, imitation learning, learned behavior policies, and classical control or hydraulics are preferred.
