Data Center Infrastructure Architect

TensorWave•Las Vegas, NV

1d•Remote

About The Position

Our mission at Tensorwave Cloud is to build seamless, secure, reliable, and resilient AI infrastructure at scale, eliminating barriers and challenging the status quo to empower builders and support AI innovation. We are seeking a Data Center Infrastructure Architect to design scalable systems that encompass structured cabling, liquid cooling, and intelligent power distribution, optimized for high-density GPU environments with extreme performance and efficiency requirements. This is a strategic role focused on system design, project management, and vendor coordination, where you define precise requirements and ensure seamless execution. You'll serve as the technical authority guiding multi-million-dollar data center builds, orchestrating vendors and contractors to deliver world-class infrastructure. This role requires 50-75% travel

Requirements

Bachelor's degree in Engineering (Mechanical, Electrical, or related) or equivalent experience
8+ years in data center physical infrastructure with deep expertise in structured cabling, liquid cooling systems, and power distribution
Proven experience architecting large-scale projects and coordinating third-party vendors and contractors for implementation
Strong project management skills
In-depth knowledge of cabling amd standards (fiber, copper), liquid cooling architectures (D2C), and power systems (PDUs, redundancy, monitoring)
Familiarity with high-performance computing demands, including 400G/800G networks and dense GPU deployments
Proficiency in MS Project or Jira
Excellent communication and stakeholder management skills

Nice To Haves

PMP or similar
RCDD, CDCP, CDCE, or similar
Experience with AutoCAD, Revit, BIM
Background in AI/ML infrastructure requirements, including power density challenges

Responsibilities

E2E liquid cooling solutions encompassing CDUs, manifolds, direct-to-chip plates, facility-to-rack distribution to achieve optimal heat removal in high-density GPU environments
E2E structured cabling systems including pathway design, rack layouts, connectivity topologies, fiber/copper selection, containment, labeling standards, and integration with network systems to reliably support maximum scalability
E2E power distribution systems including PDUs, redundancy schemes, capacity planning, rack-level power optimization
Manage project planning, scheduling, budgeting, and milestone tracking
Select vendors, craft detailed RFPs, SOWs, specify component requirements, and evaluate proposals for technical fit, cost, and reliability
Conduct design reviews, audits, and inspections to verify vendor installations meet specifications, standards (TIA/EIA, ASHRAE, BICSI, NEC), and performance goals
Provide clear documentation, standards, templates, and post-project reviews to continuously improve processes