Senior Robotics Navigation Scientist | Sim-to-Real Expert

Amazon Inc.; Sunnyvale (CA); Hybrid; USD 192,000 - 260,000; Full time

Job summary

Fauna Robotics, an Amazon company, seeks a Senior Applied Scientist to push the boundaries of robot navigation in complex indoor environments. You will research and develop robust navigation systems, spanning classical methods to learning-based techniques and foundation models.

*** The role also involves building evaluation frameworks, performing sim-to-real transfers, and collaborating across teams to integrate navigation into the full robot system.

Qualifications

• PhD or Master’s degree with 6+ years of applied research experience.
• 3+ years of industry or academic research experience.
• Strong publication record at major Robotics/ML/AI conferences.
• Experience Python and C++ programming and robotic systems.
• Track record leading technical projects and mentoring junior staff.

Responsibilities

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

Skills

Python

C++

Robotics navigation

Reinforcement learning

Sim-to-real transfer

Publications

Mentoring

Education

PhD or Master's degree in a relevant field

Job description

Fauna Robotics, an Amazon company, seeks a Senior Applied Scientist to push the boundaries of robot navigation in complex indoor environments. You will research and develop robust navigation systems, spanning classical methods to learning-based techniques and foundation models.

*** The role also involves building evaluation frameworks, performing sim-to-real transfers, and collaborating across teams to integrate navigation into the full robot system.