Robotics Navigation Scientist - AI, Perception & Control

Amazon; Sunnyvale (CA); On-site; USD 180,000 - 280,000; Full time

Job summary

Amazon is seeking a Scientist in Robot Navigation to architect intelligent, safe, and scalable navigation systems for next-generation robotic platforms in Sunnyvale, CA. You will blend learning-based planning with MPC-based trajectory control and foundation models for embodied agents operating with humans in dynamic environments.

You will lead perception, CV, and sensor fusion research, collaborating with robotics, software, and product teams to deploy ML models from data collection to

Qualifications

• PhD in Robotics, Computer Science, Electrical Engineering, Controls, or a related field.

Responsibilities

• Design, develop, and deploy perception algorithms for robotics systems, including object detection, segmentation, tracking, depth estimation, and scene understanding.
• Lead research initiatives in computer vision, sensor fusion and 3D perception.
• Collaborate with cross-functional teams to define and deliver perception capabilities.
• Drive end-to-end ownership of ML models—from data collection and labeling to training, evaluation, and deployment.
• Mentor junior scientists and engineers; contribute to a culture of technical excellence.
• Define and track key metrics to measure perception system performance in real-world environments.
• Publish research findings in top-tier venues and contribute to patents.

Skills

Java

C++

Python

Model Predictive Control

Pytorch

JAX

Education

PhD in Robotics or related field

Tools

ROS/ROS2

PyTorch

JAX

MPC (model predictive control)

Job description

Amazon is seeking a Scientist in Robot Navigation to architect intelligent, safe, and scalable navigation systems for next-generation robotic platforms in Sunnyvale, CA. You will blend learning-based planning with MPC-based trajectory control and foundation models for embodied agents operating with humans in dynamic environments.

You will lead perception, CV, and sensor fusion research, collaborating with robotics, software, and product teams to deploy ML models from data collection to