Applied AI Engineer

About the company

General 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. Help us build a high‑energy society by making the cleanest, safest form of baseload energy the most affordable.

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. 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. We are open to multiple levels for this role.

• Building AI tooling so that every engineer can run complex safety and physics analyses before design reviews, without waiting on a specialist.
• Automating legacy simulation workflows so engineers can run neutronics with a config file instead of learning decades‑old codes from scratch.
• Integrating with internal tools – tickets, design tree, file management – and building agents that handle triage, routing, and prioritization automatically.

• BS or higher in engineering, physics, chemistry, applied math, or related technical field.
• Proficiency in Python and software engineering fundamentals.
• Experience building tools or workflows using LLMs, AI agents, or modern AI techniques.

• Engineer who codes. You studied a hard STEM field: physics, chemistry, mechanical, electrical, nuclear, math. You can follow a technical conversation with a domain expert and know which parts of their workflow are automatable before they do. You write clean, production‑grade Python.
• Versatile engineering fundamentals. This role requires mastering many different fields quickly: neutronics, integrated safety, data, manufacturing. You don’t need to be the expert. You need to get fluent enough, fast enough, to build something useful.
• AI fluency. You genuinely enjoy using AI to solve problems — RAG, tool‑use architectures. You’re constantly thinking about how to apply AI to reinvent or restructure existing workflows.
• Ships proactively. You don’t wait for a spec, a roadmap, or permission. You see the bottleneck, propose the approach, and show off prototypes before you’re asked.

• Ability to work extended hours and weekends as necessary.

General Matter is an Equal Opportunity Employer; employment with General Matter is governed on the basis of merit, competence and qualifications and will not be…