Senior Applied Scientist, Robot Navigation & Foundations

Amazon Inc.; Seattle (WA); Hybrid; USD 192,000 - 260,000; Full time

Benefits offered by this job

RSUs

Health insurance

401(k) matching

Paid time off

Job summary

Fauna Robotics, an Amazon company, seeks a Sr. Applied Scientist to advance robot navigation in dynamic indoor spaces. You will develop robust navigation methods spanning classical, learning-based, and foundation model approaches and build benchmarks for real‑world evaluation.

You will lead projects, mentor scientists, and collaborate across teams to ensure seamless integration of navigation capabilities into the full robot system, driving performance improvements.

Qualifications

• PhD or Master's with 6+ years of applied research.
• 3+ years of research experience in industry or academia.
• Strong publication record at major Robotics/ML/AI conferences.
• 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.

Responsibilities

• Develop and implement robust navigation systems for autonomous operation in dynamic indoor environments.
• Build simulation-based and on-device evaluation frameworks with benchmarks and metrics.
• Conduct sim-to-real transfer experiments and close performance gaps.
• Collaborate with world model, manipulation, and other teams to integrate navigation into the robot system.
• Stay current with advances in robot navigation and apply findings to improve systems.
• Mentor fellow scientists and engineers while maintaining strong individual contributions.

Skills

Python

C++

Sim-to-real transfer

Leadership

Publications

Education

PhD or MS with 6+ yrs

Tools

ROS

Job description

Fauna Robotics, an Amazon company, seeks a Sr. Applied Scientist to advance robot navigation in dynamic indoor spaces. You will develop robust navigation methods spanning classical, learning-based, and foundation model approaches and build benchmarks for real‑world evaluation.

You will lead projects, mentor scientists, and collaborate across teams to ensure seamless integration of navigation capabilities into the full robot system, driving performance improvements.