Recruiting Intern

Job Description

Job Description

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

We’re looking for a Recruiting Intern to join TensorWave’s Recruiting team and gain hands-on experience across the recruiting lifecycle. You’ll work alongside recruiters to help identify great talent, support candidates throughout the interview process, and contribute to recruiting programs and projects as TensorWave continues to grow.

You’ll also have opportunities to support university recruiting, our internship program, and selected talent branding initiatives in partnership with Recruiting and People Ops.

What You’ll Do

• Support recruiters with candidate sourcing and research across LinkedIn, job boards, university networks, and other recruiting channels.

• Review resumes and applications to help identify candidates aligned with open roles.

• Assist with candidate outreach, interview coordination, and communication throughout the recruiting process.

• Maintain accurate candidate and pipeline information in our applicant tracking system.

• Support university recruiting, career fairs, networking events, and other talent attraction initiatives.

• Assist with internship program recruiting and related candidate-facing activities.

• Support selected employer branding and recruiting content projects, including internship program promotion, social media content, and event materials.

• Assist with talent market research and pipeline-building projects for current and future hiring needs.

• Partner with Recruiting and People Ops on recruiting programs, special projects, and process improvements.

Who You Are

Required Qualifications

• Currently pursuing a bachelor’s degree, ideally in Human Resources, Business, Marketing, Communications, Psychology, or a related field.

• Strong written and verbal communication skills.

• Highly organized with strong attention to detail.

• Comfortable managing multiple tasks and priorities.

• Curious, proactive, and eager to learn.

• Comfortable communicating with candidates and new people.

• Ability to handle sensitive or confidential information professionally.

• Interest in recruiting, talent acquisition, employer branding, or early-careers hiring.

Preferred Qualifications

• Previous internship, campus leadership, recruiting, customer service, marketing, or other experience involving communication and organization.

• Experience using LinkedIn, Handshake, job boards, or other professional networking platforms.

• Familiarity with Google Workspace or Microsoft Office.

• Experience creating social media content or event materials.

• Interest in technology, startups, AI, or high-growth companies.

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 View email address on ziprecruiter.com.

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.