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
About the team
We are building a centralized automation Center of Excellence that owns the process specification and IP for how AWS hardware gets assembled. The Manufacturing Automation Design & Engineering team is responsible for engineering - defining automated process requirements, designing and proving solutions at proof-of-concept, and maintaining AWS-owned intellectual property that scales globally. We work within a collaborative framework across Hardware Engineering (product design for automation), Manufacturing Automation Design & Engineering (process specification and validation), and Manufacturing Operations (deployment and scaling) - ensuring automation is engineered once, proven once, and deployed everywhere.