Applied AI Engineer: Automate Nuclear Engineering Workflows

General Matter; Los Angeles (CA); On-site; USD 100,000 - 200,000; Full time

Benefits offered by this job

Stock options

Medical, vision & dental coverage

401(k) retirement plan

Long-term incentives

Job summary

General Matter is a nuclear-focused tech company building AI-enabled engineering workflows to accelerate licensing and safety analyses. The Applied AI team works across engineering to identify bottlenecks, build tools, and move to the next problem, reinventing traditional processes with AI.

The role involves collaborating with engineering teams to embed AI tooling across nuclear design, neutronics, and safety analyses, redefining what AI-first engineering can look like in the nuclear sector.

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.

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.

Skills

Python

Software engineering basics

AI tooling

Education

Engineering/Physics/Chemistry/Applied Math degree

Tools

LLMs

AI agents

Modern AI techniques

Job description

General Matter is a nuclear-focused tech company building AI-enabled engineering workflows to accelerate licensing and safety analyses. The Applied AI team works across engineering to identify bottlenecks, build tools, and move to the next problem, reinventing traditional processes with AI.

The role involves collaborating with engineering teams to embed AI tooling across nuclear design, neutronics, and safety analyses, redefining what AI-first engineering can look like in the nuclear sector.