Sr. Applied Scientist, Fauna Robotics
Core
Research and build advanced SLAM and World Reconstruction algorithms to enable robots to know their pose and fulfill tasks in complex home environments.
Role type
Senior Applied Scientist (Robotics Localization & Mapping)
Builds
Spatial intelligence stack for autonomous robots
Domain
Robotics, Computer Vision, Geometric Reconstruction
Deliverable
production ML models
Required skills
SLAM, visual inertial odometry, 3D pose estimation, mapping, geometric reconstruction, Python, C++, technical leadership, simulation-based evaluation, algorithm development
Preferred skills
Gaussian Splatting, Foundation Models (e.g. VGGT), bridging research with practical engineering implementation
Technologies
Python, C++, Gaussian Splatting, VGGT
Responsibilities
Develop and implement robust robot state estimation, pose estimation, mapping, and reconstruction algorithms; Build simulation-based and on-robot evaluation frameworks; Lead scientific and technical projects across the spatial intelligence team; Collaborate with navigation, manipulation, and other teams; Mentor junior scientists and engineers
Seniority
Senior, hands-on IC with leadership responsibilities
