Amazon Data Services, Inc.

Manufacturing

IndustrialEngineer-Automation

$136–184k Salt Lake City, Utah, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Industrial Engineer-Automation at Amazon Data Services, Inc.”

Industry & Context.

Manufacturing
Full Job Description

Amazon Web Services’ Hardware Engineering team is looking for experienced professionals to help build the world’s premier cloud computing platform. Our Manufacturing Automation Design & Engineering team designs, validates, and deploys automation solutions — robotics, cobots, vision inspection, AI-powered quality systems, and automated assembly workflows — across contract manufacturer sites worldwide. About the Role: You will execute production line layout optimization and capacity modeling within the automation architecture defined by the L6 engineering team. This means integrating robotic cells, sub-assembly stations, manual workstations, and material flow paths into production systems that achieve target throughput across multiple product families. You conduct time/motion studies, line balancing simulations, and floor layout iterations that help transform manual factories into automated facilities while maintaining production continuity. You partner with contract manufacturer site teams to implement layouts and validate throughput targets during ramp. The scope covers all server and rack assembly across all architectures and platforms — compute, AI/ML accelerators, storage, and networking. The team designs intelligent, predictive-analytics-driven production systems where every station is sensor-driven, AI-optimized, and self-correcting — turning assembly lines into programmable, data-generating platforms that scale capacity without scaling headcount. This role requires the engineer to operate in a fast-paced, multi-platform international manufacturing environment with travel to contract manufacturer sites (up to 25–30% travel anticipated). Key job responsibilities • Design automated line layouts with robotic cell positioning, workstation placement, and material flow paths at contract manufacturer sites • Conduct time/motion studies and line balancing to achieve target cycle times and UPH across platforms • Develop capacity models with bottleneck identification sup

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