Manufacturing Solutions Engineer Jobs (NOW HIRING)

Job Summary:
Aalo Atomics is pioneering a new era in clean energy with factory-fabricated microreactors designed to deliver affordable, scalable, and reliable nuclear power. They are seeking an AI Solutions Engineer - Manufacturing to build internal software systems that enhance manufacturing processes, ensuring faster, safer, and more traceable reactor production. This role involves working closely with manufacturing teams to create integrated software solutions that connect engineering intent to actual production workflows.
Responsibilities:
• Spend time with manufacturing teams on the floor, in the trailer, and in the systems they use every day to understand real workflows before designing software around them
• Build and iterate factory software from first prototype to production through integration, edge-case handling, testing, hardening, rollout, and adoption support
• Create operator-friendly interfaces that simplify manufacturing work while preserving traceability, auditability, permissions, and source-of-truth data integrity
• Integrate systems across ION or successor manufacturing platforms, TeamCenter, engineering documents, quality records, inventory, supplier data, and internal AI platform services
• Build AI-enabled workflows that improve manufacturing procedures, inspection plans, material verification, job routing, as-built documentation, and operational decision-making
• Review, debug, and refine AI-generated code and workflows to ensure they are useful, maintainable, secure, and safe to operate in manufacturing contexts
• Capture production data in ways that support manufacturing execution today and engineering optimization, digital twins, and fleet-scale learning over time
• Work closely with platform engineers to reuse shared AI infrastructure rather than building isolated one-off systems
• Own meaningful factory software outcomes rather than acting only as a service desk for ad hoc manufacturing requests
• Help define how Aalo builds in-house enterprise software for a manufacturing company whose systems must span engineering, supply chain, production, quality, logistics, testing, maintenance, and delivery
Qualifications:
Required:
• Strong engineering fundamentals
• You can design systems with clear data models, APIs, service boundaries, integration patterns, and permission models
• You write clear, maintainable code and can judge whether generated code is correct, secure, scalable, and maintainable
• You understand the difference between a useful prototype and a production system that real operators can rely on
• You know how to keep workflow software simple without creating fragile architecture or disconnected data silos
• Manufacturing and operations mindset
• You are motivated by software that changes how physical work gets done, not just software that looks good in a demo
• You are comfortable learning from machinists, manufacturing engineers, quality teams, inventory teams, and operators
• You care about traceability, revision control, as-built records, material flow, inspection evidence, and operational handoffs
• You can work from messy reality: incomplete systems, manual workarounds, vendor constraints, edge cases, and urgent production needs
• High output and follow-through
• You are comfortable taking incomplete requirements, rough workflows, or painful manual processes and turning them into working systems
• You handle integrations, stakeholder feedback, production issues, and edge cases without losing momentum
• You care about adoption and operational value, not just technical novelty
• You can stay focused on factory software priorities while still integrating with the broader company-wide AI and software platform
• AI-native working style
• You already use AI coding agents or agentic development workflows as part of your daily engineering process
• You have demonstrated interest in AI through real projects, experiments, evaluations, or sustained use of new models and tools
• You can guide, evaluate, and refine AI-generated code rather than relying on it blindly
• You think in terms of leverage, fast feedback loops, evaluation, and compounding workflow improvements
• Team-first mindset
• You are comfortable being embedded with manufacturing while staying technically connected to the AI and internal software team
• You communicate clearly with technical and non-technical stakeholders and can bridge shop-floor reality with software architecture
• You are willing to sit with users, observe workflows, ask basic questions, and build trust through useful systems
• You optimize for company outcomes, integrated systems, and long-term maintainability rather than narrow ownership boundaries
• Interest in where this is going
• You are excited by the idea that manufacturing, engineering, supply chain, quality, and delivery can become a connected software-driven system
• You want to help build the internal enterprise software that Aalo uses to manufacture reactors at scale
• You are comfortable working in a role that will evolve as AI tools, factory systems, and Aalo’s manufacturing model become more capable
• Based in the United States
• Willing to work on-site in Austin, TX
• Willing to work closely with manufacturing teams in person, including time spent near the factory floor and production workflows
Preferred:
• Experience in manufacturing, industrial systems, aerospace, energy, nuclear, hardware, logistics, or other physical-world domains
• Experience with MES, ERP, PLM, QMS, inventory, work-order, or factory execution systems
• Familiarity with ION, TeamCenter, CAD/CAM, machine shop workflows, inspection workflows, or as-built documentation
• Experience working in regulated, high-reliability, audit-sensitive, or compliance-sensitive environments
• Background in internal tools, integrations, workflow software, operational systems, or technical business processes
• Experience building software used by non-software teams in production environments
Company:
Aalo Atomics manufactures and develops nuclear power plants for clean energy production. Founded in 2023, the company is headquartered in Austin, USA, with a team of 51-200 employees. The company is currently Growth Stage.