The AFT Quality team at Amazon is building high-performance, real-time systems that can perceive, learn and act intelligently alongside humans, at Amazon scale. To this end, we are seeking an experienced Software Engineer who is interested in working alongside other Engineers and Scientists to bring Computer Vision innovations to Fulfillment Centers. We are seeking broad, curious engineers to join our diverse, full-stack team. In addition to holistically designing, building, and delivering end-to-end Computer Vision systems, our team is responsible for the core infrastructure and tools that serve as the backbone of our applications, enabling machine learning scientists, hardware and software engineers to collaborate and deploy systems in the lab and in the field. Our work spans real-time software, machine learning engineering, big data, scalable infrastructure software, and more. Key job responsibilities · Participate in all phases of new developments including concept, design, architecting, prototyping, and production · Collaborate with software, hardware, and operations customers · Implementation, performance optimization and maintenance of software · Contribute to software design reviews, architecture reviews, and team best practices A day in the life As a member of AFT Quality, you will be working with other SDEs and partner teams on designing, building, maintaining and deploying intelligent machines to Amazon Fulfillment Centers (FCs) around the world. Your main stakeholders are associates in the FCs, as well as Safety, Reliability and Maintenance teams. About the team Amazon Fulfillment Technologies (AFT) powers Amazon’s global fulfillment network by designing and building the software, hardware and processes that enable our customers to get what they want, when they want it. We put innovation into action, working alongside our employees in the FCs to move billions of customer orders through our Fulfillment Centers globally. AFT is creating the future of fulfillment, and we’re looking for people with big ideas and the drive to see them at work in the real world.