Autonomous Robot Navigation Scientist

Amazon Science; Sunnyvale (CA); On-site; USD 172,000 - 222,000; Full time

Job summary

Fauna Robotics, an Amazon company, is seeking an Applied Scientist to advance autonomous robot navigation. You will explore classical and learning-based navigation methods, including foundation models, to enable safe movement in complex environments.

You will build robust navigation systems, run simulations and on-device evaluations, and perform sim-to-real transfers while collaborating with multiple teams to deliver integrated robot capabilities.

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Qualifications

• 1+ years of experience building models for business applications.
• PhD or Master’s degree with 4+ years in CS/CE/ML or related field.
• Experience with patents or publications at top-tier conferences/journals.
• Experience programming in Java, C++, Python or related language.
• Experience in algorithms, data structures, numerical optimization, data mining, parallel and distributed computing.

Responsibilities

• Develop 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 spatial reasoning to improve performance.
• Mentor scientists and engineers while contributing technically.

Skills

C++

Python

Java

Algorithms

High-performance computing

Education

PhD in CS/CE/ML

Master's degree in CS/CE/ML

Job description

Fauna Robotics, an Amazon company, is seeking an Applied Scientist to advance autonomous robot navigation. You will explore classical and learning-based navigation methods, including foundation models, to enable safe movement in complex environments.

You will build robust navigation systems, run simulations and on-device evaluations, and perform sim-to-real transfers while collaborating with multiple teams to deliver integrated robot capabilities.

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