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Blue Origin seeks an Embedded Automation Architect to own the automation roadmap for a Blue Origin business unit, guiding multi-year automation strategies and cost-effective investments. You will lead a team of engineers, set technical direction, and drive AI-enabled automation from concept through production with safety considerations.
You will partner with design and manufacturing to optimize part count, select make-versus-buy options, and deliver a scalable automation backbone across sites,
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.
The Embedded Automation Architect sits within a specific Blue Origin business unit (New Glenn, Engines, Lunar, In-Space Systems, or a production site) while reporting into the central Factory Automation Group. You are the single point of automation strategy for that business unit: you build its complete multi-year automation roadmap against Blue's shared automation backbone, decide what to automate and in what order, resolve make-versus-buy, and shepherd projects from concept through the central Factory Automation build teams to production.
This is an architect and technical-leadership role, not a single-cell build role - you will set the technical direction that hands-on controls and mechanical engineers then execute, and you will be measured on the roadmap you originate and the recurring cost your automation removes, not on machines you personally wire. You set the technical direction - increasingly AI-enabled - for how a business unit's work gets automated, from machine-generated programming through in-process ML quality to the reasoning layers behind automated part buyoff, and you work AI-natively yourself, using and where useful building the tools that make a small automation team move faster.
You bring deep, credible controls and robotics expertise - enough to earn the trust of the build engineers and to review their work - and you apply it at the level of a program's whole automation footprint rather than one machine at a time. Once a business unit's roadmap is executing, you redeploy to architect the next.