# Sr. Scientist in Robot Navigation

**Company**: Amazon
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q3884

**Apply**: https://amazon.jobs/en/jobs/10532967/applied-scientist-navigation?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_f20a9f39-437

## Description

Amazon is on a mission to redefine the future of automation , and we're looking for exceptional talent to help lead the way.

As a Sr. Scientist in Robot Navigation, you will be at the forefront of this transformation , architecting and delivering navigation systems that are intelligent, safe, and scalable. You will bring deep expertise in learning-based planning and control, a strong understanding of foundation models and their application to embodied agents, and as well as have in-depth understanding of control-theoretic approaches such as model predictive control (MPC)-based trajectory planning.

Key job 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 including robotics engineers, software engineers, and product managers to define and deliver perception capabilities

- Drive end-to-end ownership of ML models , from data collection and labeling strategy 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

A day in the life:

- Train ML models for deployment in simulation and real-world robots, identify and document their limitations post-deployment

- Drive technical discussions within your team and with key stakeholders to develop innovative solutions to address identified limitations

- Actively contribute to brainstorming sessions on adjacent topics, bringing fresh perspectives that help peers grow and succeed , and in doing so, build lasting trust across the team

- Mentor team members while maintaining significant hands-on contribution to technical solutions

About the team: Our team is a diverse group of scientists and engineers passionate about building intelligent machines. We value curiosity, rigor, and a bias for action.

## Skills

### Required
- Java
- C++
- Python
- Robotics
- Computer Science
- Electrical Engineering
- Controls
- Machine Learning
- Model Predictive Control (MPC)
- Optimization-based Planning

### Nice to have
- Foundation Models
- Large Pre-trained Models
- World Models
- Visual Navigation
- Vision-Language-Action Models
- Sim-to-Real Transfer
- High-fidelity Simulation Environments
- SLAM
- Localization
- Mapping Systems
- ROS/ROS2
- Real-time Robotics Middleware
- Safety-critical Systems
- Formal Verification of Learned Controllers
- Multi-agent Coordination
- Fleet-level Navigation

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Source: [Apply at amazon.jobs](https://amazon.jobs/en/jobs/10532967/applied-scientist-navigation?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)