Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun.

Amazon Robotics empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas.

Amazon Robotics internship/co-op/full-time opportunities will be based out of the Greater Boston Area in our two state-of-the-art facilities in Westborough, MA and North Reading, MA. Both campuses provide a unique opportunity to have direct access to robotics testing labs and manufacturing facilities.

Must be eligible and available for a full-time (40h / week) 6-month co-op between January to June 2025 or July to December 2025.

Key job responsibilities
- Analyze historical data to gauge relative performance metric changes, highlighting causation.
- Analyze data related to storage solutions to evaluate expected vs actual system performance and entitlement
- Work with partner teams to onboard data from other Amazon data providers
- Write queries to pull data and act as a thought partner through the design phase of CI & NPI solutions
- Support existing dashboards making edits to the underlying SQL, metric definitions, and customer facing visualizations
- Evaluate and observe data practices in your own work and throughout the team, always insisting on the highest standards
- Recognize and implement best practices and automation opportunities for reporting and analysis