Data Center Build & Deployment Intern

About TensorWave

Our mission is simple: deliver seamless secure reliable and resilient AI compute at scale. Weve 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

Data Center Integration turns delivered hardware into installed cabled power-on racks ready for cluster bring-up.

Were looking for a Data Center Build & Deployment Intern to join our team during an exciting phase of this role you will work inside that machine on live builds: receiving and staging racks running installation quality checks against our port maps and standards tracking throughput and finding the bottleneck that slows the next build down. You will finish the program having shipped a deployment dashboard the team uses and a cycle-time improvement with numbers behind it.

Who You Are

Required Qualifications

This internship is open to three kinds of candidates. We evaluate all three against the same bar and none is a second-tier track.

1. Current students

   • Engineering technology construction management industrial or electrical engineering logistics or supply chain or IT programs. Hands-on project club or job experience (Formula SAE Habitat builds trades work) counts heavily.

2. Transitioning service members and veterans

   • Technical maintenance construction electrical or logistics backgrounds map directly. Examples: Navy EM ET and Seabee ratings (CE UT BU); Army 12-series engineers 91-series maintenance 92-series logistics; USMC 11-series utilities and 04-series logistics; Air Force 3E civil engineering and 2S materiel management. Navy nuclear operators are especially welcome.

3. Professionals returning after a career break

   • Prior work in construction facilities field service logistics manufacturing or IT operations. Project or operations managers returning from a break are a strong fit for the throughput and process work.

• One of: current enrollment in a relevant program; military experience in a technical maintenance construction electrical or logistics specialty; or 2 years of prior work in a field listed above.

• Comfort with physical on-your-feet work in loud temperature-variable data halls including lifting up to 50 lb with or without reasonable accommodation.

• Working spreadsheet skills (Excel or Google Sheets): you can turn a messy log into a clean weekly count.

• Reliability and checklist discipline: you do the step as written and you flag when the step is wrong.

• Ability to meet colocation site access requirements including a background check.

• Able to travel to Data Center sites between 30 to 50% site time during build windows.

Preferred Qualifications

• OSHA 10 or 30 NFPA 70E awareness or other formal safety training.

• Electrical low-voltage or fiber exposure; CompTIA A or Server.

• Lean or Six Sigma training; dashboarding in Power BI Smartsheet or similar.

• Forklift or material-handling certification; prior data center or mission-critical work.

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

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.

Required Experience:

Intern