Software Development Engineer, Amazon Fulfillment Technologies (AFT)
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Job description
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., · 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.
Requirements
Bachelor’s degree in computer science or equivalent
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Experience building complex software systems that have been successfully delivered to customers
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Experience using English communication skills, both written and verbal, to foster seamless interaction with stakeholders at all levels
- Experience with a Linux development environment, multithreading and concurrency, Master’s degree or above in computer science, computer engineering, or related field, or Master’s degree
- Experience leading and influencing your team or organization, or experience building complex software systems that have been successfully delivered to customers
- Experience in one or more relevant technical areas: Computer Vision, Machine Learning, Scalable Infrastructure Software, Sensors, Real-time Systems, Embedded Systems, Distributed Systems or building cloud infrastructure for engineering/science users
- Hands-on expertise in many disparate technologies, from front-end user interfaces to back-end systems
- Experience with formal Integration, Validation and Verification (IV&V) techniques
About the company
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., Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
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