Sr. Applied Scientist, Fauna Robotics
Amazon - Sunnyvale, CA
Hiring: Sr. Applied Scientist, Fauna Robotics Company: Amazon Location: Sunnyvale, CA Job Posted Time: 2026-09-09 17:58:26 Employment Type: Full-time Target Skills & Keywords: Robotics, SLAM, Localization, Mapping, Geometric Reconstruction, Visual Inertial Odometry, 3D Pose Estimation, State Estimation, Simulation, Benchmarking, Python, C++, Gaussian Splatting, Foundation Models, VGGT, Autonomous Navigation, Manipulation, Task Planning Experience: - PhD, or Master's degree and 6+ years of applied research experience - 6+ years of building Localization and Mapping algorithms experience - Experience leading technical initiatives and key deliverables - Experience mentoring junior scientists and engineers - Experience bridging research with practical engineering implementation in robotics systems (preferred) Required Skills: - Develop and implement robust robot state estimation, pose estimation, mapping, and reconstruction algorithms - Build simulation-based and on-robot evaluation frameworks with comprehensive benchmarks and metrics - Lead scientific and technical projects across the spatial intelligence team - Collaborate with navigation, manipulation, and other teams for seamless integration of localization, tracking, and mapping capabilities - Programming in Python, C++, or related language - Strong publication record at major Robotics/ML/AI conferences (e.g., RSS, CoRL, ICRA, IROS, NeurIPS, ICML, ICLR) Qualifications: - PhD, or Master's degree and 6+ years of applied research experience - 6+ years of building Localization and Mapping algorithms experience - Experience leading technical initiatives and key deliverables - Strong publication record at major Robotics/ML/AI conferences - Programming proficiency in Python, C++, or related language - Hands-on experience with modern solutions in Localization, Mapping, and reconstruction such as Gaussian Splatting, Foundation Models (e.g., VGGT), etc. (preferred) - History of impactful first-author publications at major journals or conferences (preferred) Compensation: Not specified Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!