Sr. Technical Program Manager, AWS Manufacturing
Amazon
IT, Operations
Taipei City, Taiwan
Description
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
We are seeking a Manufacturing Operations and Industrial Engineering Program Manager to help us fuel AWS’ explosive growth. This role is the single-threaded owner of factory layout and material flow design across AWS rack fulfillment manufacturing sites. You will work at the intersection of capacity planning, automation engineering, construction, and operations — spanning EC2, Machine Learning, and Storage hardware platforms in AWS manufacturing. Your work directly enables AWS to meet datacenter capacity commitments by ensuring manufacturing infrastructure scales efficiently, reliably, and repeatably across a global site network. Possessing strong leadership, influencing skills, and technical depth are critical elements of success for this role. This leader will establish manufacturing standards and publish process control guidelines to assure flawless ramp into volume manufacturing.
Key job responsibilities
· Translate rack fulfillment capacity plans into data-driven facility layouts for AWS manufacturing operations, designing end-to-end material flow from dock receipt through assembly, integration, test, and dispatch across EC2, Machine Learning, and Storage product platforms
. Design factory floor layouts including automation line stations, manual assembly zones, test positions, sub-assembly areas, burn-in, and repair workflows — determining optimal buffer sizing, automation vs. manual line trade-offs, and material handling system specifications (AMR/AGV routes, conveyors, ASRS) based on cycle time analysis, volume ramp curves, and product mix complexity
. Develop and maintain industrial simulation models (FlexSim, Plant Simulation, or equivalent) to identify bottlenecks, validate throughput assumptions, optimize material flow paths, and establish performance metrics including takt time adherence, buffer occupancy, and transport cycle times
. Coordinate utility and infrastructure requirements (power, cooling, network, compressed air) for each production zone with facilities and construction teams, ensuring infrastructure readiness aligns with layout phasing — particularly for high-density ML accelerator and Storage rack configurations requiring liquid cooling and high-power distribution
. Manage phased layout plans aligned with construction milestones, enabling production in early zones while build-out continues in adjacent areas; own layout change control, produce clear visual documentation (2D/3D layouts, material flow diagrams, phasing overlays), and develop replicable standards across the global manufacturing site network
. Drive continuous improvement and operations sustaining by owning the factory layout as a living document, partnering with Operations, Test, Process, and Automation Engineering teams to implement optimizations that reduce cycle time, improve throughput toward manufacturing-to-ship SLA targets, and enable rapid capacity deployment for new product platform introductions
· Excellent communicator with an ability to concisely and precisely convey information to executives and cross functional teams
· Needs to be an evangelist for teaching Automation to the organization.
· Ability to multitask on several concurrent projects of med to high complexity
About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.