Senior Plasma Data Scientist

We are a fusion power company based in Everett, WA, with the mission to build the world's first fusion power plant, enabling a future with unlimited clean electricity. Our vision is a world with clean, reliable, and affordable energy for everyone.

Since Helion's founding in 2013, we have raised over $1 billion from long-time investors such as Sam Altman, Mithril, and Capricorn Investment Group as well as new investors SoftBank and Lightspeed to propel us forward. Our last prototype, Trenta, completed 10,000 high-power pulses and reached plasma temperatures of 100 million degrees Celsius (9 keV). We are now operating Polaris, our next prototype on the path to the world's first fusion power plant.

This is a pivotal time to join Helion. You will tackle real-world challenges with a team that prizes urgency, rigor, ownership, and a commitment to delivering hard truths – values essential to achieving what no one has before. Together, we will change the future of energy, because the world can't wait.

What You Will Be Doing: Helion is hiring a Senior Plasma Data Scientist specializing in synthetic diagnostics to improve how we measure, interpret, and model FRC plasma behavior. In this role, you will develop and validate synthetic diagnostic models that connect experimental diagnostic signals with simulation outputs, helping improve diagnostic accuracy and plasma performance interpretation. In your first year, you will focus on integrating these models with experimental and simulation data pipelines to support faster, more reliable experimental analysis. This position reports to the Experimental Science Manager at our Everett, WA office and plays a key role in advancing Helion’s path toward fusion electricity.

Develop and validate machine‑learning frameworks for FRC plasma‑dynamics, leveraging physics‑grounded ML approaches (e.g., differentiable physics, PINNs, surrogate modeling, or hybrid physics+ML systems)

Integrate ML models with existing simulation tools and experimental‑diagnostic pipelines to enable hybrid physics + data‑driven validation workflows

Reproduce experimental plasma conditions within ML modeling workflows to support interpretation of magnetic diffusion, circuit response, and diagnostic measurements