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Applied AI Engineer

Generalmatter · Los Angeles, CA · 2026-08-04

executive
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About this role

<p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 2">About the company</span></span></strong><span data-ccp-props="{"335559738":320,"335559739":120}"> </span></p> <p><u>General Matter enriches uranium.</u></p> <p>We are designing, building, and operating the world’s lowest-cost enrichment services, here in the US.  </p> <p>In the process, we are restoring America’s ability to produce nuclear fuel to power AI, advanced manufacturing and critical industries our country relies on to remain competitive. </p> <p>Fuel drives the cost of advanced reactor electricity production, and enrichment drives the cost of the fuel that advanced reactors consume.  Reliable, low-cost enrichment is the catalyst for the nuclear Renaissance now under way.</p> <p>Our mission is to make nuclear not only the cleanest and safest source of baseload power, but also the most affordable.  We believe abundant nuclear energy will lead to a post-scarcity society. </p> <p>We were incubated inside Founders Fund, like Anduril and Palantir before us, and are backed by over a dozen of the world's top venture capital firms.  </p> <p>Our lean, world-class team of engineers and operators is applying a first-principles approach to solving the problem of nuclear fuel production.  </p> <p>We are a mission-driven company with a culture of urgency, accountability, and transparency. </p> <p>Help us build a high-energy society by making the cleanest, safest form of baseload energy the most affordable. </p> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 2">About </span><span data-ccp-parastyle="heading 2">Th</span><span data-ccp-parastyle="heading 2">is</span><span data-ccp-parastyle="heading 2"> Role</span></span></strong><span data-ccp-props="{"335559738":320,"335559739":120}"> </span></p> <p><span data-contrast="none">General Matter has a massive body of critical-path engineering work ahead — nuclear licensing, integrated safety analysis, design criteria, technoeconomic modeling. Conventional timelines for this work are too slow. We believe there is an opportunity to reinvent every single engineering workflow using modern AI.</span><span data-ccp-props="{"335559739":160}"> </span></p> <p><span data-contrast="none">The Applied AI team embeds with engineering teams across the company with a single focus: make existing engineering workflows significantly faster. You identify the bottleneck, build the tool, and move to the next problem.</span><span data-ccp-props="{"335559739":160}"> </span></p> <p><span data-contrast="none">This is an opportunity to define what AI-first engineering looks like at a nuclear company. The nuclear industry has done things the same way for decades. Assumptions that everyone takes for granted — “this analysis requires a PhD specialist,” “this document takes three months to draft,” “this review has to be fully manual” — are all open questions now. You get to challenge every one of them, across every team. </span> <br> <br><span data-contrast="none">We are open to multiple levels for this role. </span><span data-ccp-props="{"335559739":160}"> </span></p> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 2">Responsibilitie</span><span data-ccp-parastyle="heading 2">s</span></span></strong></p> <p><span data-contrast="none">The core mission of this team is to accelerate engineering. Some of the projects we’ve worked on include:</span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="7" data-list-defn-props="{"335552541":1,"335559683":0,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="none">Building AI tooling so that every engineer can run complex safety and physics analyses before design reviews, without waiting on a specialist.</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="7" data-list-defn-props="{"335552541":1,"335559683":0,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}"…

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