Intern - AI & Infrastructure Engineer - Spring 2027
About Commonwealth Fusion Systems:
Commonwealth Fusion Systems is on a mission to deliver the urgent transition to fusion energy.
Combining decades of research, top talent, and new technologies, we’re designing and building commercially viable fusion power plants. And we're working with policymakers, suppliers, and many others to build the energy industry of the future.
We’re in the best position to make it happen. Since 2018, we’ve raised $4 billion of capital, making us the largest and leading fusion company in the world.
Now we’re looking for more thinkers, doers, builders, and makers to join us. People who’ll bring new perspectives, solve tough problems, and thrive as part of a team.
If that’s you and this role fits, we want to hear from you.
Join the power movement as an AI & Infrastructure Engineering Intern
We are looking for a talented AI & Infrastructure Engineering Intern to join our team! CFS interns are highly valued within the organization and placed into meaningful and challenging roles.
Program Details: 26 week internship
40-50 hours per week with set hourly salary based on year in school
Opportunity on site in Devens, MA. If an intern is going to be on site, you will be responsible for your own transportation and housing
Specific project assignments and required technical skillset will vary based on the team’s existing need.
Opportunities available for currently enrolled college students in all levels of schooling from bachelor’s degree to PhD
Interns must be authorized to work in the United States for any employer
What you'll do: Serve as first-line support for employees using AI tools:
Help people build and version their own applications
Follow repo and file-management best practices
Get unstuck on the technical side of AI implementation
Handle AI tooling onboarding:
Process license requests through the Service Catalog
Set up GitHub and AI tool access
Guide teams through creating and publishing marketplace plugins
Develop and maintain internal AI applications:
Implement scoped features and write automated tests
Turn recurring user questions into training content and company documentation
Meet with teams across the business to document current AI usage, identify aspirational use cases and bespoke problems, and coach interested individuals toward becoming self-sufficient AI developers
What we’re looking for: Python backend development
Git/GitHub workflows: branching, pull requests, code review, etc.
Experience building with AI coding tools, including configuring project rules, skills, or custom agents
Working with LLM APIs: tool use, structured outputs, prompt and context management
Building or deploying an MCP server
Agent frameworks and observability or evaluation tooling
RAG fundamentals: embeddings, vector stores
Docker and Linux basics
Authentication concepts: SSO, role-based access
Strong communication - the intern will spend time meeting with non-technical teams
Security and data-handling awareness - the role touches SSO, access provisioning, and internal data
Must-have Requirements: Willingness to travel or work required nights/weekends/on-call occasionally
Perform activities such as typing, standing, or sitting for extended periods of time
Dedication to safety to mitigate industrial hazards that may include heat, cold, noise, fumes, strong magnets, lead (Pb), high voltage, and cryogenics
#LI-Onsite
At CFS, we excel in fast-paced environments, driven by our values of integrity, execution, impact, and self-critique. As we grow, we’re eager to bring on mission-driven folks who offer diverse perspectives and fresh ways to tackle challenges.
We value diversity deeply and are proud to be an equal opportunity employer by choice. We consider all qualified applicants equally, regardless of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law.
This role requires compliance with U.S. laws concerning the export of controlled or protected technologies or information (collectively, “Export Control Laws"). Any offer of employment will be contingent on the need for compliance with such Export Control Laws.