Senior Reinforcement Learning Engineer at Gravis Robotics

Gravis Robotics is hiring a Robotics Engineer to develop data-driven planning and control systems for autonomous excavators in real construction environments. The role focuses on sim2real transfer, reinforcement learning, online learning, data pipelines, system integration, and evaluation, while also mentoring junior team members. Candidates should have 2–5 years of industry experience developing reinforcement learning systems for control or planning on real robots, along with strong Python, PyTorch, and C++ skills, GPU-accelerated simulation experience, and comfort debugging real-world systems.