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General Matter, Inc.

Applied AI Engineer

Posted Yesterday
In-Office
Los Angeles, CA, USA
100K-200K Annually
Entry level
In-Office
Los Angeles, CA, USA
100K-200K Annually
Entry level
Build AI-powered tools that accelerate nuclear engineering workflows, including safety and physics analyses, neutronics simulations, and automated ticket, design-tree, and file-management processes. The role embeds with engineering teams to identify bottlenecks, prototype solutions, and deploy production-grade Python tools using LLMs, AI agents, RAG, and tool-use architectures. Work is fully onsite, may require extended hours, and requires US citizenship with the ability to obtain and maintain a Q clearance.
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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. 

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.
  • Ability to come into our office every day. This role is 100% on site and in person.
  • Currently a US Citizen with capability to obtain and maintain a US Q clearance.

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–$200,000 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. 

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General Matter, Inc. Los Angeles, California, USA Office

Los Angeles, CA, United States

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