Industrial Engineer-Automation, Manufacturing Automation Design & Engineering

Amazon.com Inc

Salt Lake City, UT

JOB DETAILS
SKILLS
Amazon Web Services (AWS), Artificial Intelligence (AI), Assembly Line, Automated Assembly Equipment, Automation, Benchmarking, Cloud Computing, Computer Engineering, Computer Maintenance, Computer Systems, Computer Workstations, Contract Manufacturing, Documentation Models, Documentation Standards, Home Automation, IP (Internet Protocol), Industrial Engineering, Intellectual Property (IP), Laboratory Automation, Line Balancing, Manufacturing, Manufacturing Automation, Manufacturing Operations, Multiplatform/Cross-Platform, Predictive Modeling, Process Validation, Product Design, Production Planning, Production Support, Production Systems, Productivity Model, Proof of Concept, Requirements Management, Robotics, Standards Development, Team Player, Technical/Engineering Design, Willing to Travel
LOCATION
Salt Lake City, UT
POSTED
2 days ago

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 supporting production planning decisions
  • Create standard work documentation and throughput models by product mix applicable across contract manufacturers
  • Perform site-to-site benchmarking on throughput per square foot and labor productivity
  • Own value stream maps identifying non-value-added steps and automation opportunities
  • Design floor layouts for automation POC labs at contract manufacturer sites
  • Partner with contract manufacturer site teams on layout implementation and validate throughput targets during ramp
  • Design flexible line architectures supporting platform transition across product generations

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.

About the Company

A

Amazon.com Inc

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Retail
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles