- Robot type
- Warehouse and Logistics
- Location
- SunnyvaleCaliforniaUSA
- Job type
- Artificial Intelligence
- Posted
- Jul 20, 2026
Sr. Applied Scientist, Fauna Robotics
Job description
We are seeking an Applied Scientist to focus on Robotics Localization, Mapping, and Geometric Reconstruction. In this role, you'll research and build advanced SLAM and World Reconstruction algorithms that enable robots to know its pose in the world and fulfill various tasks in complex and dynamic home environments. You'll work across a broad spectrum of visual inertial odometry, 3D pose estimation, mapping, and geometric reconstruction problems to build robust solutions that support autonomous decision making, task planning, navigation, and manipulation.
Key job responsibilities - Develop and implement robust robot state estimation, pose estimation, mapping, and reconstruction algorithms.
Job requirements
- PhD, or Master's degree and 6+ years of applied research experience
- Experience leading technical initiatives and key deliverables
- 6+ years of building Localization and Mapping algorithms experience.
- Strong publication record at major Robotics/ML/AI conferences (e.g., RSS, CoRL, ICRA, IROS, NeurIPS, ICML, ICLR)
- Experience programming in Python, C++,or related language
- Hands-on experience with modern solutions in the field of Localization, Mapping, and reconstruction such as Gaussian Splatting, Foundation Models (e.g. VGGT), etc.
- History of impactful first-author publications at major journals or conferences
- Experience bridging research with practical engineering implementation in robotics systems
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