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 infield 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 rollout across the broader organization
About the team The RDE NA Process Engineering (PE) team exists to enable deployment teams in the implementation of new technology at a large scale and to improve efficiency of deployments of general availability (GA) technologies yearoveryear.
Bachelors degree in Engineering (any discipline) or related technical field 3 years of relevant work experience in high technology or a manufacturing environment Demonstrated proficiency using operational metrics industrial process development Lean and industrial engineering techniques/tools like Kaizen Experience with root cause analysis and problemsolving tools 5 Whys Fishbone 8D) Ability to travel globally up to 30 per year
Masters degree in Engineering or similar discipline Experience with installation and or commissioning of complex industrial automated systems including robotics or highspeed manufacturing. Familiarity with Value Stream Mapping or Labor Standards Analysis Lean Six Sigma Green or Yellow Belt training
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