Autonomous Robot Navigation Scientist

Amazon; Herndon, Northern (VA, KY); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon's Fauna Robotics seeks an Applied Scientist to advance robot navigation in indoor environments, tackling robust, safe movement amid dynamic obstacles. You will develop navigation systems spanning classical methods to learning-based approaches and foundation models.

You will collaborate across teams, mentor peers, and stay at the cutting edge of spatial reasoning to improve real-world autonomy and performance of our robotic platforms.

Qualifications

• PhD or Master's degree with 4+ years in CS/CE/ML or related field
• 1+ years building models for business applications
• Experience publishing in top-tier conferences/journals
• Programming in Java, C++, Python or related language
• Experience in algorithms, data structures, numerical optimization, data mining, parallel/distributed computing, HPC

Responsibilities

• Develop robust navigation systems for autonomous operation in complex indoor environments
• Build simulation-based and on-device evaluation frameworks with benchmarks
• Conduct sim-to-real transfer experiments and improve real-world navigation performance
• Collaborate with world model, manipulation, and other teams to integrate navigation
• Stay current with advances in robot navigation and spatial reasoning
• Mentor fellow scientists and engineers while contributing technically

Skills

Java

C++

Python

Algorithms

Data structures

Numerical optimization

Parallel and distributed computing

High-performance computing

Education

PhD

Master's degree + 4+ years CS/CE/ML

Job description

Amazon's Fauna Robotics seeks an Applied Scientist to advance robot navigation in indoor environments, tackling robust, safe movement amid dynamic obstacles. You will develop navigation systems spanning classical methods to learning-based approaches and foundation models.

You will collaborate across teams, mentor peers, and stay at the cutting edge of spatial reasoning to improve real-world autonomy and performance of our robotic platforms.