Engineering Manager, Applied AI

General MatterGeneral Matter enriches uranium. We are designing, building, and operating the world's lowest-cost enrichment services, here in the US. 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. 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.

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. 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. Our lean, world-class team of engineers and operators is applying a first-principles approach to solving the problem of nuclear fuel production. We are a mission-driven company with a culture of urgency, accountability, and transparency.The OpportunityGeneral Matter has a massive body of critical-path engineering work ahead: nuclear licensing, integrated safety analysis, design criteria, and technoeconomic modeling.

Conventional timelines for this work are too slow. 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. 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.What You'll DoLead and grow the Applied AI team: hire, develop, and retain engineers while setting a high technical barOwn technical direction and prioritization: identify the highest-leverage engineering problems and decide where the team should invest its timeStay hands-on: review architecture, solve difficult technical problems, and contribute to implementation when appropriatePartner with engineering teams across General Matter: work directly with licensing, safety, design, manufacturing, and other technical teams to understand their workflows and identify opportunities for AI-driven leverageBuild scalable engineering practices: establish processes for project selection, prototyping, evaluation, and production handoff that allow the team to grow without losing speedRepresent Applied AI across the company: communicate technical direction, progress, and tradeoffs to company leadership and cross-functional partnersYou Should Have7+ years of professional software engineering or applied AI experience2+ years of experience managing, mentoring, or growing software or applied AI engineersDemonstrated experience building and shipping software using LLMs, AI agents, or other modern AI techniquesStrong software engineering fundamentals and proficiency in PythonB.S. or higher in engineering, physics, chemistry, applied math, computer science, or a related technical fieldNice To HaveHands-on technical leadership style: you enjoy reviewing PRs, debating architecture, and jumping into difficult technical problemsHands-on experience with technologies such as LLMs, RAG, tool-use architectures, and AI agents, with a critical eye for where AI can create meaningful leverageStrong engineering judgment across disciplines: ability to quickly evaluate whether your team's technical approach is sound without needing to be the domain expertWorkflow-oriented mindset: excitement about fundamentally improving how engineering teams work, rather than simply adding AI to existing processesExperience hiring and developing high-agency engineers who take ownership and move quickly without waiting for a detailed roadmapExperience helping a high-context engineering team add structure and process while preserving speed, autonomy, and technical qualityCompensation and BenefitsBase Salary: $220,000 - $300,000 annually