Amazon Web Services' Hardware Engineering team is looking for experienced professionals to help build the world's premier cloud computing platform. The Manufacturing Automation Design & Engineering team designs, validates, and deploys automation solutions, including robotics, cobots, vision inspection, AI-powered quality systems, and automated assembly workflows, across contract manufacturer sites worldwide. You will own end-to-end automation process engineering for the Ultraserver (AI/ML accelerator) platform family. This includes defining automated assembly sequences, specifying robotic cell requirements, developing process validation protocols, and driving automation deployment at contract manufacturer sites for this high-complexity platform. You serve as the single-threaded owner for all automation decisions affecting Ultraserver production, working with central engineering specialists (robotics, vision, controls, mechanical) to apply their capabilities to your platform's unique requirements. You translate platform-specific product design characteristics into automation process specifications. You work closely with the Product Design vertical (Hardware Engineering) to manage automation requirements, participate in design reviews, and provide early-stage feedback on assembly compatibility and design-for-automated-assembly considerations. You serve as the point of contact for automation during New Product Introduction (NPI), supporting the product design team in transitioning new Ultraserver platforms from prototype to production-ready automated assembly, ensuring automation readiness is built into the NPI process from the earliest stages. You also partner with the Manufacturing Process Quality vertical to define quality verification requirements for automated stations, validate process capability, and ensure automation solutions meet quality targets before production sign-off. The scope covers all server and rack assembly across all architectures and platforms, including 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).
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Job Type
Full-time
Career Level
Senior