Additive - Manufacturing Process Engineer III

Application close date:
Applications will be accepted on an ongoing basis until the requisition is closed.

At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We’re working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion.

Join our team of problem solvers as we add new chapters to the history of spaceflight!

This role is part of Blue Origin Operations, which is comprised of Integrated Supply Chain, Test Operations, Safety, Quality, and Mission Assurance. This includes Manufacturing and Supply Chain support across all Blue Origin facilities.

Site:
Kent, WA

Operations Manufacturing Engineer III

Additive Manufacturing produces metallic and polymer flight hardware for Blue's engine and launch vehicle programs, spanning laser powder bed fusion, polymer printing, and post-processing. You will own capacity planning, factory layout, and throughput modeling for that production system as it scales across sites. The job is the production system, not part-level process ownership. You will own the capacity models and the floor layout that set how much the factory can produce and where the constraint sits, and your numbers feed staffing plans, capital requests, and what AM commits to its program customers, so they have to hold up with finance and with senior leadership.

AM builds its own tooling where it saves time, so you will have room to automate your own analysis and reporting and to build AI-assisted tools the team uses. You will report to the AM Director and work across the managers and engineers running printing, post-processing, applications engineering, and machine in sourcing, plus facilities, maintenance, finance, and the program customers AM supports.

• Build and maintain demand versus capacity models for the AM production system spanning labor, equipment, and floor space, and keep them current as demand shifts
• Identify the binding constraint and quantify what it costs, keeping asset limits and staffing limits separate
• Model machine hour availability and utilization, including setup, changeover, unload and reload labor, and planned and unplanned downtime
• Develop staffing and ramp models across shifts, and translate demand into the direct and indirect labor required to support it
• Run scenario and sensitivity analysis on rate changes, new part introductions, equipment additions, and shift structure changes
• Support the annual operating plan and capital planning cycle with the quantified capacity analysis behind equipment and headcount requests
• Provide the capacity picture that program commitments are built on, and flag when committed demand exceeds what the system can deliver

• Design, model, and implement factory layouts for print bays, post-processing cells, inspection, and machining areas, optimizing for safety, ergonomics, and minimal material movement
• Own floor space planning, including space allocation by work center and the layout implications of adding equipment
• Define and improve the end to end flow of material and information through the AM value stream, including powder handling, part movement, and queue locations
• Plan equipment placement for new installs, including utilities, access, and the surrounding work area, coordinating with facilities, maintenance, and engineering
• Support new site and new area standups with layout, flow, and capacity models before the equipment lands
• Design work cells and material presentation for operations that are manual today, and evaluate where automation changes the layout

• Build throughput and factory flow models, including discrete event simulation where the queuing behavior matters
• Conduct time studies and work sampling, and develop labor standards for recurring operations
• Perform cycle time, takt time, and line balancing analysis, and use it to set and validate rate assumptions
• Establish standard work for repeatable operations, and quantify the variation that standard work removes
• Apply theory of constraints and engineering economic analysis to prioritize where capacity investment returns the most
• Build make versus buy and insource versus outsource analysis when capacity decisions call for it

• Lead value stream mapping for