Robotics - Process Engineer Intern​/Co-op, Robotics Manufacturing and Technical Oper

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 these questions 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 in ways we can’t even imagine yet.

We invent new improvements every day.

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

Come join us in North Reading, MA, or in our newly expanded innovation hub in Westborough, MA! Both campuses provide a unique opportunity for co‑ops to have direct access to robotics testing labs and manufacturing facilities.

Please note that by applying to this role you will be considered for Robotics Process Engineer 2026 summer internship, spring co‑op, and fall co‑op opportunities on the Robotics Manufacturing and Technical Operations team.

• Manufacturing process optimization projects involving data collection, cycle time studies, root‑cause/problem‑solving initiatives, and creation of training modules
• Create business process models using best‑practice techniques, including current and future state solution design documents based on collected requirements
• Gather, analyze and document functional/technical requirements for new projects, enhancements to existing solutions, and production issues reported by end users
• Research production system issues, resolve user problems, and engage escalation when necessary (Manufacturing Engineering Support)
• Conduct periodic project updates and review sessions with cross‑functional team members
• Support supplier improvement initiatives
• Document Manufacturing/Tech Ops‑specific process and project activities that support our content and knowledge management initiatives
• Participate in Lean initiatives, including 5S performance auditing and Kaizen event sessions

The Process Engineering Team is responsible for continuous improvement in manufacturing areas focusing on safety, delivery, quality, and cost. The team also collaborates with other internal and external Amazon engineering departments to develop manufacturing solutions for new products.

• Are 18 years of age or older
• Currently pursuing a Bachelor’s or Master’s degree with a graduation date between December 2026 and August 2027
• Currently enrolled in a Bachelor's, Master’s, or PhD program located in the United States, with at least one semester/term/quarter of school remaining after the end of the co‑op
• Are enrolled in a Bachelor’s or Master’s degree program in Operations, Supply Chain Management, Engineering Management, Industrial Engineering, or a related field
• Must be eligible and available for a full‑time (40 hrs/week) co‑op during the 6‑month co‑op duration
• Knowledge of different process innovation methodologies and their practical application

• Understanding of metrics, process capabilities, LEAN and IE techniques
• Proficient with AutoCAD/2D layouts
• Enthusiasm, idealism, creativity, and dedication to getting results
• Ability to work collaboratively and without direct reporting authority; must be a team player
• Ability to interact and communicate effectively with both technical and business staff
• Excellent written, speaking, and interpersonal skills
• Experience with creating process models

The base pay for this position ranges from $41.78 per hour in our lowest geographic market to $88.94 per hour in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills,…