Robotic Process Automation Jobs in Seattle, WA (NOW HIRING)

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.
About the Role: You will own end-to-end automation process engineering for the X86/G-Series/ESH platform families. This includes defining automated assembly sequences, specifying robotic cell requirements, developing process validation protocols, and driving automation deployment at contract manufacturer sites for these high-volume platforms

You serve as the single-threaded owner for all automation decisions affecting X86/G-Series/ESH production, working with central engineering specialists (robotics, vision, controls, mechanical) to apply their capabilities to your platform's unique requirements. These platforms represent the highest production volumes, making automation ROI and scalability paramount. You work closely with the Product Design vertical (Hardware Engineering) to manage automation requirements, participate in design reviews, and provide feedback on assembly compatibility for the X86 platform family.

You serve as the point of contact for automation during New Product Introduction (NPI), supporting the product design team in transitioning new X86 designs 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, 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).
Key job responsibilities
Own automation process specifications for X86/G-Series/ESH platform assembly operations
Define automated assembly sequences and station allocations for high-volume X86 platform operations
Develop and execute process validation protocols for automated stations on X86 lines
Drive automation deployment and ramp at contract manufacturer sites for the X86/G-Series platform
Identify automation opportunities specific to X86/G-Series architecture and drive business case development
Coordinate with central engineering specialists to apply robotic, vision, and controls solutions to platform needs
Own platform-specific automation KPIs: throughput, quality yield, automation rate, and cycle time targets
Track platform automation KPIs and drive continuous improvement for highest-volume product lines
Collaborate with Manufacturing Process Quality to define quality verification requirements and validate process capability for automated stations
Serve as the automation point of contact during NPI, supporting product design teams in transitioning new X86 designs to production-ready automated assembly
Partner with Hardware Engineering (Product Design vertical) to manage automation requirements and participate in design reviews for new X86 configurations
About the team
About the team: The Manufacturing Automation Design & Engineering team is building a centralized automation Center of Excellence that owns the process specification and IP for how AWS hardware gets assembled. The 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. The team works 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.