Sr. Applied Scientist, Fauna

Description

We are seeking a Sr. Applied Scientist to focus on Robot Navigation. In this role, you'll research and develop advanced navigation systems that enable robots to move reliably and safely through complex, dynamic environments. You'll work across a broad spectrum of navigation approaches-from classical methods to learning-based techniques and foundation models-to build robust solutions for autonomous robot navigation.

Key job responsibilities

- Develop and implement robust navigation systems that enable reliable autonomous operation in complex, dynamic indoor environments with static and dynamic obstacles

- Build simulation-based and on-device evaluation frameworks with comprehensive benchmarks and metrics for systematic comparison of navigation methods

- Conduct sim-to-real transfer experiments, analyzing performance gaps and developing techniques to ensure reliable real-world navigation performance

- Collaborate with world model, manipulation, and other teams to ensure seamless integration of navigation capabilities into the full robot system

- Stay current with the latest advances in robot navigation, spatial reasoning, and related fields, and apply relevant findings to improve system performance

- Mentor fellow scientists and engineers while maintaining strong individual technical contributions

About the team

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.

If you care about making robotics real for everyone and building systems that are as delightful as they are capable, we're interested in hearing from you.

Basic Qualifications

- PhD, or Master's degree and 6+ years of applied research experience

- 3+ years of industry or academic research 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

- Experience with sim-to-real transfer for robotic systems

- Demonstrated track record of leading technical projects

- Experience mentoring junior scientists/engineers

Preferred Qualifications

- History of impactful first-author publications at major conferences

- Experience bridging research with practical engineering implementation in robotics systems

- Experience with visual navigation, semantic navigation, or foundation models applied to robot navigation

- Experience evaluating and benchmarking multiple navigation approaches (classical, learning-based, foundation model-based)

- Experience with reinforcement learning for legged robot control (e.g., locomotion policies, terrain-adaptive gaits, or agile movement)

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…