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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 Data Hall Build Lead to join our team during an exciting phase of growth. In this role, you’ll be responsible for owns on-site execution of GPU cluster deployments from rack delivery through customer handover. You run the daily build, hold contractors to schedule and quality, and are accountable for capacity going live on the committed date.
What You’ll Do
Lead day-to-day build execution for GPU halls and pods: rack set, power distribution, liquid cooling (CDUs, manifolds, rear door or direct-to-chip), structured cabling and network fabric.
Build and run the site schedule; track progress daily and escalate risks to the critical path before they slip go-live.
Direct general contractors, electrical, mechanical and low-voltage subcontractors; run coordination meetings and enforce quality and safety standards.
Own the commissioning interface: coordinate Level 1 through Level 5 commissioning, punch lists, and turnover packages to Operations.
Translate Design drawings into field execution; raise RFIs and drive field changes back to the Design team quickly.
Coordinate with AMD, OEM and logistics partners on server delivery, staging and rack integration windows.
Mentor Build Engineers and assign daily field work; set standards that make the next site faster than the last.
Report build status, issues and readiness metrics to the Senior Manager, Build.
Who You Are
Required Qualifications
8+ years in data center construction, deployment or mission critical facilities, including 3+ years leading on-site teams.
Delivered at least one high-density deployment (30 kW+ per rack) or a liquid-cooled build end to end.
Working knowledge of MV/LV power distribution, UPS, busway, PDUs, CDUs and chilled water systems.
Strong command of construction schedules (Primavera P6, MS Project or Smartsheet) and reading electrical, mechanical and network drawings.
Track record managing GCs and subcontractors to schedule, budget and quality.
OSHA 30 or ability to obtain within 90 days.
Preferred Qualifications
GPU or HPC cluster deployment experience (AMD Instinct, NVIDIA HGX or similar).
Commissioning certification (CxA, BCxP) or Uptime Institute ATD.
Experience with InfiniBand or high-speed Ethernet fabric cabling at scale.
What We Offer
Stock Options
100% paid Medical, Dental, and Vision insurance for Employees
Company Health Savings Account Contributions
100% paid Short Term and Long Term Disability Insurance for Employees
Life and Voluntary Supplemental Insurance Options
Other Insurance Options, such as Pet & Legal Insurance
Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support
Flexible Spending Account
401(k)
Employee Assistance Program
Flexible PTO
Paid Holidays
Parental Leave
Other In-Office Perks
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 accomodations@tensorwave.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.