AI Solutions Engineer; Manufacturing

Aalo Atomics is pioneering a new era in clean energy with factory-fabricated microreactors designed to deliver affordable, scalable, and reliable nuclear power. Our mission is to make nuclear energy globally accessible, starting with the Aalo-1, a 10 MWe reactor leveraging cutting-edge safety, modularity, and efficiency. Based in Austin, TX, we’re rapidly growing as we work to deploy the world’s first fleet of advanced microreactors.

Join us and help revolutionize energy for a sustainable future.

Why This Role

Most manufacturing companies end up with disconnected software: one system for engineering, one for manufacturing, one for quality, one for procurement, one for logistics, and a large amount of human effort stitching the gaps together.

Aalo cannot scale that way. We are trying to compress the path from customer need todeployed

Aalo Pod, and that requires software and AI systems that connect engineering intent, supply chain, factory execution, quality evidence, delivery documentation, and operational feedback.

In this role, you will build the factory software layer that helps make that possible. The near-term work includes practical systems like machine shop interfaces, manufacturing workflows, integrations, inspection capture, and as-built traceability. The long-term work is larger: helping Aalo build an internal enterprise software system that lets manufacturing improve continuously as the company scales.

If successful, this role gives Manufacturing dedicated software capacity while keeping the architecture integrated with the rest ofAalo’sAI and internal software platform. It reduces manual handoffs, improves traceability, makes factory work easier to execute, and creates the data foundation for better engineering and manufacturing decisions over time.

You will be helping build that system from the inside.

We’rehiring an AI Solutions Engineer - Manufacturing to build the internal software systems that help Aalo manufacture reactors faster, safer, and with better traceability.

At Aalo, AI and software are becoming part of the operating system of the company. This role focuses on manufacturing: the factory workflows, integrations, interfaces, data capture, and AI-enabled tools that connect engineering intent to real production work on the floor.

This role reports into

Aalo’sAI and internal software team for technical management, architecture, and platform consistency, while being embedded with and accountable to Manufacturing. The purpose of that structure is deliberate: manufacturing needs dedicated software capacity, and the resulting systems need to integrate cleanly with the broader enterprise architecture rather than becoming another isolated tool.

You will work closely with manufacturing engineering, machinists, quality, supply chain, logistics, engineering, and the broader AI team to turn real factory workflows into production software. Your job is to understand how work actually happens, build systems that operators trust, and make sure manufacturing software is not an afterthought.

This is a forward‑deployed software and systems engineering role with strong manufacturing workflow, integration, productization, and AI-native development responsibilities.

Examples of the systems and workflows this role may touch include:

• Custom factory interfaces on top of ION or successor manufacturing systems
• Machine shop workflows for job queues, work-center filtering, material verification, inspection capture, and operator signoffs
• Team Center, CAD, drawing, model, revision, and manufacturing procedure integrations
• As-built traceability across parts, serial numbers, materials, inspection records, nonconformances, and delivery data packages
• AI-assisted manufacturing procedures, work instructions, inspection plans, and approval workflows
• Quality, receiving, inventory, kitting, supplier, and material flow systems
• Production‑floor dashboards for open jobs, bottlenecks, work centers, and execution status
• Automated data capture that feeds engineering feedback loops, design optimization, digital twins, and future fleet manufacturing improvements
• Integrations across manufacturing, engineering, procurement,…