Are you passionate about advancing automated material handling systems? Do you thrive on solving complex automation challenges through collaborative innovation? If you're excited about seeing your work transform modern robotics and material handling operations, you'll be a perfect fit at Software Controls and Science (SCS). We are a team of innovative problem-solvers dedicated to revolutionizing warehouse automation through innovative solutions at Amazon's scale. This dynamic team develops and maintains tools for automating the deployment, management, and monitoring of complex material handling systems, including conveyor networks, work cells, and industrial control systems.

We are seeking a passionate Software Development Engineer to innovate in building Human Machine Interfacing Platforms to join the SCS team within the Amazon Fulfillment Technologies Robotics organization.

Amazon’s Operations Technology teams are the technical engines that support Amazon’s mission of being Earth’s most customer-centric company. We build the software and services that touch every Amazon customer globally and innovate solutions for logistics, supply chain optimization, and transportation. If you are a software development engineer with a creative flare, problem-solving skills, exposure to various technologies such as Machine Learning and/or Controls Programming, we want to talk with you.

For additional information on Operations Technology: https://www.amazon.jobs/en/business_categories/operations-technology

Key job responsibilities

• Analyze user challenges and compose a solution with clear software and UX design actions
• Design and build scalable front-end infrastructure using Amazon and AWS tools
• Write automated UI tests
• Instrument software with real user metrics to reflect the customer experience
• Follow best practices for user experience and insist on high standards
• Contribute to estimation and planning of work

About the team
We solve complex problems and invent for almost every aspect of fulfillment. We work with ambiguity and large problems, and work in a startup-like environment. Our robotics teams around the world are driving improvements in the safety and autonomy of our worldwide operations. We re-imagine what now looks like.