Sr. Applied Scientist, Fauna Robotics

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.

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.

• 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 for systematic evaluation of our spatial intelligence stack.
• Lead scientific and technical projects across the spatial intelligence team.
• Collaborate with navigation, manipulation, and other teams to ensure seamless integration of localization, tracking, and mapping capabilities.
• Mentor junior scientists and engineers to solve real-world robotics problems.

Fauna Robotics, an Amazon company, is building capable, safe, and genuinely delightful robots for everyday life. Our goal is simple: make robots people actually want to live and interact with in everyday human spaces. We believe that future won’t arrive until building for robotics becomes far more accessible. Today, too much effort is spent reinventing the fundamentals. We’re changing that by developing tightly integrated hardware and software systems that make it faster, safer, and more intuitive to create real-world robotic products.

Our work spans the full stack: mechanical design, control systems, dynamic modeling, and intelligent software. The focus is not just functionality, but experience. We’re building robots that feel responsive, expressive, and genuinely useful. At Fauna, you’ll work at the frontier of this space, helping define how robots move, manipulate, and interact with people in natural environments. It’s an opportunity to solve hard problems across hardware and software with a team focused on making robotics accessible and joyful to build.

• 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants:
Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and…