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Hadrian Automation
Torrance, CA, United States
Source: Hadrian Automation careers · View original posting
From Hadrian Automation's posting. “We” and “our” refer to the employer.
Hadrian - Manufacturing the Future
Hadrian is building autonomous factories to reindustrialize America. By combining AI, advanced software, robotics, and full-stack manufacturing, we help aerospace and defense companies build rockets, satellites, aircraft, ships, and other mission-critical systems up to 10x faster and at significantly lower cost.
Following our $1.37B Series D at a $7.87B valuation, Hadrian is rapidly expanding our manufacturing footprint, launching new capabilities across welding, casting, forging, electronics, additive manufacturing, and more, while scaling our Factory-as-a-Service platform to transform how critical products are built.
Backed by leading investors including JPMorgan Chase, Valor Equity Partners, Andreessen Horowitz, Founders Fund, 137 Ventures, Lux Capital, T. Rowe Price, and Morgan Stanley, we’re building the future of American manufacturing—and looking for exceptional people to help make it happen.
If you’re ready to take on the most challenging and rewarding work of your career while helping create American manufacturing jobs for generations to come, you’re exactly who we’re looking for.
Experience with metal additive manufacturing equipment — LPBF controller architecture, laser and scanner control, or in-process monitoring.
Experience integrating equipment into MES or factory data platforms in aerospace or defense production.
Experience with AM process data: in-situ monitoring, melt pool sensing, layer imaging, or scanner and galvanometer telemetry.
Experience with OT network architecture and security in a regulated or defense manufacturing environment, including NIST SP 800-171 or CMMC.
Exposure to polymer AM platforms alongside metal.
Familiarity with aerospace and defense AM qualification data requirements — AMS7032, US Navy, or NIAR/NCAMP.
Experience supporting installation and operational qualification from a controls and data integrity perspective.
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