Applied AI Engineer – Fusion Systems

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.

We’re looking for someone to build Helion’s internal knowledge foundation from the ground up—capturing operational procedures, experimental insights, and machine behavior—and turning that into a structured, scalable system that can support AI-assisted workflows and future automation.

This role spans documentation, data structuring, and applied AI. You’ll work directly with engineers and operators to turn fragmented, implicit, and fast-changing knowledge into something durable, searchable, and actionable. This is a hands-on, applied role focused on building systems around LLMs and operational data—not training models from scratch

Capture & document procedures, experiments, and workflows by partnering with engineers and operators to turn fragmented knowledge into clear runbooks

Structure & standardize documentation through docs-as-code practices, including versioning, formatting, reviews, and defined schemas

Integrate & organize data by linking documentation with logs, configs, and analysis outputs to improve consistency and clarity