Software Engineer

About Valar Atomics

At Valar Atomics, we're redefining what's possible in energy. Our mission is to make clean, high-temperature nuclear power scalable—unlocking abundant energy for industry, hydrogen, and next-generation manufacturing. We are a team of builders, engineers, and operators who believe nuclear energy should be fast to deploy, factory-made, and built for the real world. Our first pilot plant in Orangeville, Utah will demonstrate how advanced nuclear systems and fuel fabrication can power the future. Joining Valar Atomics means becoming part of a company where autonomy, ownership, and impact exist at every level.

The Team 

As part of the Engineering organization, Software Engineering builds the internal platforms and tools that power reactor design, fuel manufacturing, licensing, and plant operations. The team partners directly with engineering, manufacturing, and operations to deliver full-stack software, integrate enterprise systems, and preserve traceability from requirement to as-built. 

The Role 

The Senior Software Engineer will build the operating system for Valar. You will work directly with reactor and fuel engineers, systems engineering, licensing, manufacturing, supply chain, and operations to understand how they actually work and then build the tooling that makes them faster. This position will be located in Torrance, California, with regular travel to our Orangeville, Utah pilot plant. 

Key Responsibilities 

• Architect, design, and build full-stack software systems and infrastructure that accelerate reactor design, fuel manufacturing, licensing, and plant operations. 
• Build rich, fast web interfaces that engineers, operators, and technicians will use daily—and iterate on them with the people who use them. 
• Integrate and extend commercial systems (PLM, ERP, MES, document and records management) using REST and GraphQL APIs, message queues, and event-driven interfaces. 
• Develop tooling that eliminates manual document handling and preserves traceability from requirement to as-built. 
• Own deployment, observability, and operational health of what you build: CI/CD, infrastructure as code, monitoring, alerting, and on-call for your services. 
• Design data models, interfaces, and access boundaries that keep engineering, manufacturing, and quality records consistent, auditable, and usable across teams. 
• Diagnose and resolve problems across every layer—client, service, data, deployment, configuration, and network—including in the field during commissioning and startup. 
• Use AI coding agents and assistants as a core part of how you work, and review their output with the same rigor you would apply to a human engineer's.