Stellarator fusion power systems using HTS magnets and advanced manufacturing
Type One Energy is developing a commercialized stellarator fusion power plant through its FusionDirect program. The tech stack reveals a deep physics and simulation foundation—ANSYS, COMSOL, OpenFOAM, Fortran, Julia—paired with industrial-grade design (Siemens NX, Teamcenter) and control systems (LabVIEW, FPGA adoption). Engineering dominates hiring (20 of 26 active roles, mostly senior and director level), reflecting the capital intensity and technical complexity of first-of-a-kind fusion hardware—plasma diagnostics, divertor design, vacuum vessels—rather than software velocity.
Notable leadership hires: Risk Director, Director of Engineering
Type One Energy commercializes stellarator fusion power systems founded in 2019 by fusion scientists and experienced energy executives. The company operates from Knoxville, Tennessee with 201–500 employees and pursues a partner-intensive, capital-efficient path to a fusion power plant within the decade. Core work spans plasma physics modeling, design of novel fusion components (divertors, plasma-facing materials, vacuum vessels), and distributed control software for the stellarator. Active pain points center on optimizing fusion performance, executing complex international transactions, and integrating first-of-a-kind systems on schedule—typical challenges for energy hardware at pre-commercial scale.
Type One Energy develops stellarator fusion power systems using high-temperature superconducting (HTS) magnets and additive manufacturing. The FusionDirect program targets a fusion power plant within the coming decade using a capital-efficient, partner-intensive strategy.
Key projects include the Infinity Two fusion power plant, plasma-facing component design, divertor and vacuum vessel engineering, distributed control software, and integrated core-edge plasma modeling for the stellarator system.
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Type One Energy'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.