🧭 Spatial AI & SLAM Engineer

Design and deploy real-time spatial perception systems that allow humanoid and mobile robots to understand, navigate, and interact with complex 3D environments. You will work at the intersection of classical geometry, state estimation, and modern learning-based scene representations to build long-horizon world models that directly power manipulation and Vision-Language-Action (VLA) systems in the real world. Design and deploy real-time SLAM and state-estimation systems for humanoid and mobile robots Build multi-sensor fusion pipelines combining RGB-D, stereo, LiDAR, IMU, and tactile sensing Develop neural scene representations including NeRFs, neural occupancy grids, and signed distance fields Bridge classical geometry-based perception with learning-based spatial models Enable long-horizon 3D world modeling for manipulation and interaction tasks Integrate perception outputs into Vision-Language-Action (VLA) systems Improve robustness under occlusion, motion blur, lighting variation, and sensor noise Support sim-to-real transfer using synthetic data generation and domain randomization Collaborate closely with robotics, controls, and learning teams to close the perception-action loop