Knowledge Systems Engineer - Fusion Systems

Helion; Everett (WA); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Medical, Dental, and Vision plans

31 Days of PTO

10 Paid holidays

Up to 5% employer 401(k) match

Short term and long term disability insurance

Paid parental leave

Annual wellness stipend

Job summary

Helion, based in Everett, WA, is seeking a candidate to develop internal knowledge systems that document procedures and structures for AI-assisted workflows. This role involves working closely with engineers to capture and clarify fragmented knowledge into actionable documentation. The ideal candidate will possess strong skills in data modeling, technical documentation, and software engineering, particularly in Python. The position offers comprehensive benefits, including medical/dental plans and generous PTO.

Qualifications

• Experience with data or knowledge modeling.
• Experience with technical documentation systems.
• Strong software engineering skills in Python.
• Ability to structure ambiguous information.
• Experience working with domain experts.

Responsibilities

• Capture and document procedures and workflows.
• Structure and standardize documentation.
• Integrate and organize data to improve consistency.
• Develop AI-assisted tools for LLM-powered solutions.
• Prototype automation for advanced systems.

Skills

Data or knowledge modeling (schemas, metadata, ontologies)

Technical documentation systems (e.g., Confluence/Jira)

Software engineering skills (Python)

Structuring ambiguous information

Collaboration with domain experts

Tools

Confluence

Jira

LLM APIs (e.g., OpenAI, Claude)

CAD tools

Job description

About Helion

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.

You Will

• 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.
• Develop AI‑assisted tools by partnering with software engineers to inform LLM‑powered solutions.
• Prototype automation through lightweight agents and workflows (e.g., run summaries, anomaly investigation) while laying the foundation for more advanced systems.

Required Skills

• Experience with data or knowledge modeling (schemas, metadata, ontologies)
• Experience with technical documentation systems (e.g., Confluence/Jira or similar)
• Strong software engineering skills (Python or similar)
• Ability to structure ambiguous information into structured systems
• Experience working with domain experts to extract knowledge

Preferred Skills

• Experience building internal tools for engineering teams
• Exposure to CAD or engineering design tools
• Experience using LLM APIs (e.g., OpenAI, Claude) in production systems
• Experience building LLM‑powered tools (RAG, search, etc.)
• Exposure to large scale hardware environment

Benefits

• Medical, Dental, and Vision plans for employees and their families
• 31 Days of PTO (21 vacation days and 10 sick days)
• 10 Paid holidays, plus company‑wide winter break
• Up to 5 % employer 401(k) match
• Short term disability, long term disability, and life insurance
• Paid parental leave and support (up to 16 weeks)
• Annual wellness stipend

Helion is an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need assistance or an accommodation during the interview process, please let us know.