Full Anduril R&D Tour: Matt Grimm, Co-Founder & COO
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Full Anduril R&D Tour: Matt Grimm, Co-Founder & COO

34:58 Dec 17, 2025
About this episode
Matt Grimm, Co-Founder & COO of Anduril, walks us through Anduril’s headquarters in Costa Mesa—a rare, and possibly first look, inside the physical systems that turn ideas into fielded products. We tour Building A, a 200,000 sq ft R&D facility with machine shop, composites, metrology, electronic warfare test environments, and a dev-test area designed to “break things” so the team can iterate faster.Grimm explains how Anduril scaled from a ~5,000 sq ft former lost-luggage garage (with mold and no bathroom) to a global footprint of ~7,000 employees and roughly 34–35 offices, while ramping production and operations. We also get hands-on with key systems and platforms, including the Ghost Shark (XL-AUV) autonomous submarine program and Anduril’s distributed compute and command-and-control stack: Menace & Titan (in partnership with Palantir).As COO, Grimm also lays out how the co-founders divide responsibilities at scale: Palmer Luckey drives new product concepts & CONOPS while serving as Anduril’s most visible public figure; Brian Schimpf, as CEO, sets strategy & evaluates global defense programs & timing; Trae Stephens leads investor relations & owns marketing and design (Ohio State, NASCAR); & Matt Grimm runs the operational core, from facilities & security to supply chain, production, logistics, & sustainment.This is Part 2 of 4 of our interview series with Anduril’s Founders, in addition to our compiled video, check them all out!Matt Grimm: https://x.com/mttgrmmMolly O’Shea: ?https://x.com/MollySOShea? Sourcery: ??https://x.com/sourceryy???????? ?????YouTube: https://youtu.be/7rvStMD9WFU????????• Brex—The modern finance platform, combining the world’s smartest corporate card with integrated expense management, banking, bill pay, & travel. https://brex.com/sourcery• Turing—Turing delivers top-tier talent, data, and tools to help AI labs improve model performance—and enables enterprises to turn those models into powerful, production-ready systems. https://turing.com/sourcery•
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