Fusion power plant developer scaling from prototype to commercial generation
Helion is a fusion energy company transitioning from prototype validation (Trenta achieved 100M°C plasma and 10,000 high-power pulses) into manufacturing scale-up for Polaris and beyond. The hiring mix skews heavily engineering-first (69 of 111 open roles), with senior-level concentration (51 roles), reflecting the shift from R&D-only to production-readiness. Active pain points around capacitor manufacturing throughput and non-conformance management, paired with projects on pulsed power systems and materials for extreme environments, show the company is now bottlenecked by engineering and ops maturity, not physics.
Helion builds fusion power plants using pulsed power technology. Founded in 2013 and based in Everett, Washington, the company has raised over $1 billion to fund prototype development and commercial ramp. The Trenta prototype validated core physics; Polaris is the next-generation prototype stepping toward a production power plant. The organization spans engineering, research, manufacturing, and operations teams, with active hiring across all functions. The tech stack mixes scientific computing (MATLAB, Fortran, ANSYS, LabVIEW) with industrial manufacturing tools (NX, SolidWorks, Altium, MES) and modern infrastructure (AWS, Kubernetes, Terraform), indicating a mature engineering pipeline. Recent adoption of InfluxDB and Grafana suggests focus on real-time operational monitoring.
Scientific: MATLAB, Fortran, ANSYS, LabVIEW, LTspice. CAD/design: NX, SolidWorks, Altium. Manufacturing: MES, Greenhouse, Ashby. Cloud: AWS, Azure, GCP, Kubernetes. Recently adopting InfluxDB and Grafana for monitoring.
Polaris prototype development; high-voltage circuit and pulsed power systems; low-voltage control electronics; fusion generator prototypes; manufacturing scale-up including capacitor line throughput; neutron shielding design; transition to mass manufacturing processes.
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Helion'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.