About the company

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.

Responsibilities:

The core mission of this team is to accelerate engineering. Some of the projects we’ve worked on include:

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

Basic Qualifications

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

Preferred Skills and Experience:

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.

Additional Requirements:

Ability to work extended hours and weekends as necessary

Equal Opportunity Employer

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 influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Compensation and Benefits

The base salary range for this role is $100,000–$200,00 annually.

Compensation bands are determined by role, level, location, and alignment with market data. Individual level and base pay is determined on a case-by-case basis and may vary based on job-related skills, education, experience, technical capabilities and internal equity. In addition to base salary, for full-time hires, you may also be eligible for long-term incentives, in the form of stock options, and access to medical, vision & dental coverage as well as access to a 401(k) retirement plan.

Learn more about this Employer on their Career Site

Applied AI Engineer