Applied AI Engineer
About The Position
General Matter is enriching uranium in America. Our mission is to restore our country’s ability to make nuclear fuel. Our fuel will help power AI, manufacturing, and other critical industries. It will power our next generation of reactors. Ultimately, it will power our national ambitions. We were incubated by Founders Fund, like Anduril and Palantir before us, and we are backed by top tier investors. 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. About This Role 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.
Requirements
- 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
- Ability to work extended hours and weekends as necessary
Nice To Haves
- 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.
Responsibilities
- 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
Benefits
- access to medical, vision & dental coverage
- access to a 401(k) retirement plan
- long-term incentives, in the form of stock options
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
