Skip to main content

General Matter

Applied AI Engineer

Los Angeles, CAmidAdded 1 month ago

About this role

General Matter, a nuclear fuel enrichment startup backed by Founders Fund, seeks an Applied AI Engineer to accelerate critical engineering workflows using modern AI. You'll embed with engineering teams to identify bottlenecks, build AI-powered tools, and redefine how nuclear engineering is conducted at scale.

What you'll do

  • Embed with engineering teams to identify workflow bottlenecks and acceleration opportunities
  • Design and build AI tools to enable engineers to conduct complex safety and physics analyses independently
  • Challenge long-standing industry assumptions about what requires specialist expertise or manual processes
  • Iterate rapidly from problem identification to tool deployment across multiple teams
  • Drive adoption of AI-first approaches to nuclear engineering workflows
  • Collaborate across nuclear licensing, integrated safety analysis, and technoeconomic modeling domains

What they're looking for

  • AI/machine learning application development
  • Full-stack software engineering
  • Problem-solving and rapid prototyping
  • Cross-functional collaboration and communication
  • Physics or engineering domain knowledge (helpful but not required)
  • Tool design and user experience
  • Python or similar technical programming languages
  • Ability to learn nuclear engineering concepts
Apply with Autofill

Opens the application — the Jobs AI extension fills it for you. Set up autofill

Opens the official application on the employer’s site. No login required.

General Matter

General Matter develops nuclear fuel enrichment systems and production infrastructure. The company is hiring for engineering roles including EHS, quality, manufacturing systems, tooling, and test systems engineers to support its uranium enrichment operations and manufacturing processes.

View all jobs at General Matter

Likely interview questions

  • Can you describe a time when you identified a bottleneck in an engineering workflow and built a tool to solve it? What was the impact?
  • How would you approach using AI to accelerate a specialized engineering task that traditionally required domain expertise (like safety analysis or physics modeling)?
Unlock all 6 questions free — and practice them live →