TAE Technologies operates a fusion energy platform anchored in experimental physics and precision engineering. The tech stack reflects a capital-equipment company: simulation tools (COMSOL, ANSYS, MATLAB) dominate early-stage work, while control systems (Allen-Bradley, Ignition, FactoryTalk) and embedded firmware (FPGA, Embedded C/C++) manage lab-scale reactor operations. Active hiring across engineering, research, and manufacturing—with leadership roles in RF heating and PLC system design—signals a transition from pure R&D toward prototype commercialization and power system deployment.
Notable leadership hires: RF Heating Director
TAE Technologies develops commercial fusion power systems, founded in 1998 and based in Foothill Ranch, California with international offices in the UK, EU, and Switzerland. The company operates five generations of National Laboratory-scale experimental devices, with two additional devices in development. Current work spans plasma physics (long-pulse sources, neutral beam injectors, plasma stability), RF heating system development, advanced diagnostics (laser measurement, high-power neutral beam diagnostics), and operational scaling of PLC and control systems for reactor subsystems (cooling, electrical, vacuum, safety). The organization is privately held and employee-owned, with over 600 staff members and more than 2,300 patents filed globally.
Core tools: COMSOL, ANSYS, MATLAB for simulation; Python for automation; SolidWorks and CATIA for design; Allen-Bradley, Ignition, FactoryTalk for PLC/industrial control; GitLab, Jira, Confluence for collaboration; InfluxDB, Grafana for monitoring; FPGA and Embedded C/C++ for hardware control.
Active projects include commissioning PLC systems for the C-2W fusion device, long-pulse plasma source R&D, advanced measurement technique implementation, beamline prototyping, high-power neutral beam diagnostics, and RF heating system development roadmap.
Other companies in the same industry, closest in size
TAE Technologies, Inc'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.