Process Engineers on the Deployment Support Services (DSS) team are responsible for developing frameworks used to onboard new technologies and support their deployment, leveraging industrial engineering techniques and experience to scale new products for general availability (GA) and addressing continuous improvement opportunities for GA and NPI technologies up through their depreciation. Process Engineers develop and maintain standards and drive successful deployments by designing efficient industrial layouts and processes, and leading continuous improvement projects related to deployment processes for all phases of the product lifecycle.
Key job responsibilities
• Create standard processes for vendors and 3rd party assemblers (3PAs), including inline quality control check points to identify defects upstream and avoid additional QC/rework costs downstream
• Employ Lean engineering and industrial engineering principles to prepare and optimize robotics and automation systems for field deployment at a large scale
• Leverage Design for Deployment (DfX) methodologies and Value Stream Mapping techniques for new technology to iterate processes and documentation during beta and early GA deployment stages
• Partner with suppliers and assist in manufacturing tooling and fixturing for both high volume and high complexity scenarios
• Support in-field deployments at various Amazon locations globally to understand on the ground challenges and measure adoption of published standards
• Create troubleshooting and best practices documentation to aid problem solving in the field
• Interpret data sets into information and opportunities for process improvement across deployment
• Structure and develop implementation plan and work with cross functional leaders to pilot and test new solutions and then roll-out across the broader organization
About the team
The RDE NA Process Engineering (PE) team exists to enable deployment execution teams in the implementation of new technology at a large scale and to improve efficiency of deployments of general availability (GA) technologies year-over-year.
