Portable nuclear microreactors built for factory production and transport
Radiant is developing Kaleidos, a transportable 1 MW microreactor, and its stack shows a hardware company moving toward production: Siemens NX, ANSYS, STAR-CCM+ and Abaqus for simulation, TwinCAT/EtherCAT for controls, and Siemens Opcenter, Plex and SAP for the factory floor. Hiring is overwhelmingly senior engineering, while new director-level regulatory, state engagement and legislative roles point to licensing and policy work ahead of commercial deployment.
Notable leadership hires: Regulatory Affairs Director, State Engagement Director, Legislative Director
Radiant is a privately held company headquartered in El Segundo, California, founded in 2020 with 51–200 employees. It designs portable nuclear microreactors intended for mass production, starting with Kaleidos, a 1 MW unit designed to fail safely and be shipped wherever power is needed. Target use cases include powering remote sites and displacing diesel generators. The company plans to test its first reactor in 2026, with customer deployments slated to begin in 2028. Hiring is concentrated in the United States.
Radiant uses Siemens NX, ANSYS Fluent, STAR-CCM+, Abaqus, MATLAB, Python and C++ for engineering, TwinCAT and EtherCAT for controls, Altium Designer for electronics, and SAP, Plex and Siemens Opcenter for manufacturing.
Radiant is developing the Kaleidos microreactor, including thermal CFD simulations, structural analysis, demonstration unit testing, hardware-in-the-loop testing, digital twin scenarios and electrical test infrastructure.
Radiant is headquartered in El Segundo, California, and hires in the United States.
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Radiant's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.