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Blue Origin

Builds rockets, engines and lunar spacecraft

Additive Manufacturing Process Engineer 3

Manufacturing EngineeringConfirmed live in the last 24 hours
Full-timeKent, WA, USA$121k - $169.4k

About the Job

Requirements

  • A Bachelor of Science in Industrial Engineering, Manufacturing Engineering, Operations Research, or a related engineering field from an accredited university is required.
  • At least 5 years of experience in an industrial, manufacturing, or process engineering role in a production environment is required.
  • Demonstrated experience building demand-to-capacity models across labor, equipment, and facility constraints and turning them into defensible staffing or capital plans is required.
  • Demonstrated experience with factory layout design and material flow analysis is required.
  • Working knowledge of industrial engineering fundamentals, including time studies, work sampling, standard work, cycle time and takt analysis, line balancing, and throughput modeling is required.
  • A strong practical understanding of Lean manufacturing principles and experience implementing them, including value stream mapping, is required.
  • Proficiency in process modeling and data analysis, including strong Excel ability, and the ability to build and present data-driven business cases is required.
  • Experience identifying a production constraint and quantifying the cost of relieving it is required.
  • The ability to work from production data and build metrics when data does not exist is required.
  • Knowledge of AI-based systems and the ability to apply them in personal work, including automating analysis or reporting, is required.
  • Strong written and verbal communication and presentation skills, including the ability to make tradeoffs visible to stakeholders competing for capacity, are required.
  • The ability to work onsite in Kent, Washington, and spend time on the production floor is required.
  • The ability to earn trust, maintain positive and professional relationships, and contribute to a culture of safety is required.
  • Applicants must be U.S. citizens or nationals, U.S. permanent residents, or lawfully admitted into the U.S. as refugees or granted asylum.

Responsibilities

  • Build and maintain demand-versus-capacity models for the additive manufacturing production system across labor, equipment, and floor space, and keep them current as demand changes.
  • Identify the binding constraint and quantify its cost while separating asset limits from staffing limits.
  • 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 analyses on rate changes, new part introductions, equipment additions, and shift-structure changes.
  • Support the annual operating plan and capital-planning cycle with quantified capacity analysis for equipment and headcount requests.
  • Provide the capacity data used to establish program commitments and flag when committed demand exceeds system capability.
  • Design, model, and implement factory layouts for print bays, post-processing cells, inspection, and machining areas, optimizing safety, ergonomics, and material movement.
  • Own floor-space planning, including work-center space allocation and the layout implications of adding equipment.
  • Define and improve end-to-end material and information flow through the additive manufacturing value stream, including powder handling, part movement, and queue locations.
  • Plan equipment placement for new installations, including utilities, access, and surrounding work areas, coordinating with facilities, maintenance, and engineering.
  • Support new site and new area standups with layout, flow, and capacity models before equipment arrives.
  • Design work cells and material presentation for currently manual operations and evaluate how automation changes the layout.
  • Build throughput and factory-flow models, including discrete-event simulation where queueing behavior matters.
  • Conduct time studies and work sampling and develop labor standards for recurring operations.
  • Perform cycle-time, takt-time, and line-balancing analyses and use them to establish and validate rate assumptions.
  • Establish standard work for repeatable operations and quantify the variation it removes.
  • Apply theory of constraints and engineering economic analysis to prioritize capacity investments with the highest returns.
  • Build make-versus-buy and insource-versus-outsource analyses when capacity decisions call for them.
  • Lead value-stream mapping for current- and future-state operations and identify bottlenecks and lead-time drivers.
  • Reduce cycle time, work in process, queue time, and non-value-added work across the additive manufacturing value stream, and quantify the results.
  • Apply Lean methods, including 5S, standard work, waste reduction, and flow improvement.
  • Build business cases for improvement and automation projects, including cost, throughput impact, alternatives, and payback.
  • Build and maintain production-system performance metrics, including throughput, utilization, cycle time, queue time, and labor hours per unit.
  • Build dashboards that allow additive manufacturing leadership to make decisions without a briefing.
  • Build AI-assisted tools and automated reports that replace recurring manual analysis, including scripts or agents that query production data systems and return completed reports.
  • Automate recurring weekly or monthly reporting and maintain the tools once they are in use.
  • Apply AI-based and data tools to reduce manual effort in modeling, analysis, and reporting.
  • Present capacity, layout, and improvement analyses to additive manufacturing leadership, finance, and program customers, together with recommendations.

Desired Qualifications

  • Experience with discrete-event simulation software such as FlexSim, Simio, Arena, or Simul8.
  • Experience in a machine shop, fabrication, or post-processing environment.
  • Familiarity with metallic or polymer additive manufacturing, including laser powder bed fusion, build plate utilization, nesting, and the post-processing chain.
  • Experience modeling a production system where labor availability, rather than equipment, is the practical ceiling on utilization.
  • Experience supporting an annual operating plan or capital-planning cycle.
  • Experience planning capacity and layout for a new site or production area before equipment installation.
  • Experience developing labor standards and forecasting direct and indirect labor across a production ramp.
  • Lean Six Sigma certification at Green Belt level or above, including value-stream mapping and kaizen facilitation.
  • Experience evaluating or implementing automation in manual production operations, including layout and staffing implications.
  • Experience with a manufacturing execution system and an enterprise resource planning system, including work-order and routing structure.
  • Experience building AI-enabled tools, agents, or automated reporting that others subsequently relied on.
  • SQL or Python ability sufficient to query production data systems directly and build analysis and reporting.
  • Experience automating a recurring report or analysis end to end, including maintaining it once others depend on it.
  • Use of 2D or 3D computer-aided design for layout work, such as AutoCAD, Creo, or SolidWorks.
  • Aerospace or rocket-engine production experience, or experience transitioning development work into production.
  • An advanced degree in Industrial Engineering, Operations Research, or Operations Management, or a Master of Business Administration.

About the Company

Blue Origin

Builds rockets, engines and lunar spacecraft

Blue Origin builds rockets, engines and spacecraft for commercial satellite operators and government space programs. Its New Glenn orbital rocket uses a reusable first stage, while Blue Moon landers are designed to transport cargo and astronauts to the lunar surface. The company designs and manufactures liquid-fueled propulsion systems, and its New Shepard vehicle is built for short suborbital trips carrying people and research payloads. Customers pay for launch services and engines, and government development contracts fund work on systems for exploration beyond Earth orbit. Founded by Jeff Bezos in 2000, Blue Origin is headquartered in Kent, Washington.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$10.1B
Headquarters
Kent, WA
Founded
2000

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