Government Affairs Intern
Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Oct 9, 2026.
About TensorWave
Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.
About the Role
TensorWave is looking for a curious, motivated Government Affairs Intern to join our growing team. As we expand our computing infrastructure across the country, you'll gain firsthand experience at the intersection of technology, public policy, economic development, and government relations.
This is an opportunity to work directly with our Government Affairs team, contribute to meaningful projects, and learn how emerging technology companies navigate legislation, build relationships with government and community leaders, and expand into new markets.
We're looking for someone who is eager to learn, asks thoughtful questions, and is excited to contribute to a fast-moving team.
What You’ll Do
Legislative & Policy Research: Monitor federal, state, and local legislation related to AI, data centers, energy, and economic development. Help identify emerging trends and potential impacts on TensorWave.
Government & Community Relations: Research government agencies, economic development organizations, elected officials, and community partners in markets where TensorWave operates or plans to expand.
Briefings & Communications: Help prepare concise policy summaries, stakeholder profiles, meeting materials, and presentations for internal leadership and external engagements.
Market Research: Support research on prospective markets, including local government structures, economic development opportunities, and community priorities.
Department Operations: Assist with maintaining stakeholder databases, legislative trackers, project updates, and other tools that help keep the department organized.
Hands-On Learning: Participate in team meetings and, when opportunities arise, attend government meetings, industry events, and community engagements alongside the Government Affairs team.
Who You Are
Required Qualifications
Currently pursuing a bachelor's or master's degree in Political Science, Public Policy, Public Administration, Communications, Economics, Business, or a related field.
Interested in government, public policy, technology / infrastructure, economic development, or community engagement. Prior knowledge of AI or data centers is not required.
A strong researcher and communicator who can organize information and explain key findings clearly.
Organized, detail-oriented, and comfortable managing multiple assignments.
Comfortable using Microsoft Office or Google Workspace, with a willingness to learn new research and tracking tools.
Curious, proactive, dependable, and willing to ask questions and take initiative.
Internship Information
Paid Internship
May - August (12 weeks)
Tuesday - Friday, 8 hours
Equal Employment Opportunity
TensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law.
Reasonable Accommodations
TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact [email protected].
Employment Eligibility
All offers of employment are contingent upon verification of identity and authorization to work in the United States, as required by law.
Background Checks
Where permitted by law, employment may be contingent upon the successful completion of a job-related background check.
Data Privacy Notice
By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws.