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Mavria

Manufactures AI data-center platforms and power

Network Architecture Engineer

Network Engineering & AdministrationPosted on Nov 9
Full-timeThe Woodlands, TX, USA

About the Job

Requirements

  • Have 6 or more years of experience designing and running large-scale data center networks, including physically building and logically designing production leaf-spine fabrics.
  • Understand IT rack layouts and wiring, and how to connect hundreds of racks into a resilient fabric.
  • Have experience with BGP, IS-IS, OSPF, MPLS, ECMP, EVPN-VXLAN, and IPv4/IPv6 across multi-vendor platforms such as Arista, NVIDIA Spectrum, Juniper, or Cisco.
  • Have designed fiber plants and worked with 100G-and-above optics, CWDM/DWDM, and coherent optics.
  • Be comfortable with a 24x7 on-call rotation and 10–30% travel to sites, data centers, and vendors.

Responsibilities

  • Design and evolve Ethernet leaf-spine fabrics for AI and GPU workloads, with redundancy to prevent a single failure from taking down a site.
  • Lay out rack-level networks, including top-of-rack or end-of-row configurations, port density, patching, fiber or copper, and the integration of network and power in cabinets; design structured cabling and fiber plants across rows and halls.
  • Own long-haul and data center interconnect circuits, carrier handoffs, and storage network integration.
  • Deploy, configure, and manage network infrastructure across the campus and sites; keep installation packages, as-built documentation, and the network asset database current; plan upgrades, migrations, and decommissioning.
  • Define standards for configuration, routing, congestion management, firmware lifecycle, and safe change management; test new hardware and software platforms.
  • Act as the escalation point for network incidents, drive permanent fixes, and improve uptime, latency, and capacity.
  • Work with manufacturing, MEP, and integration teams so network designs fit each standardized unit and site, including power and cooling.

Desired Qualifications

  • Experience with AI or GPU cluster networking.
  • Field work in data centers, colocation facilities, or internet exchanges.
  • Understanding of data center power and cooling.
  • Automation experience in Python or Bash.

About the Company

Mavria

Manufactures AI data-center platforms and power

Mavria builds the physical backbone needed for AI growth, creating power systems, data centers, factories, equipment, and supply chains. Its first product, Terrain, is a manufactured data-center platform that scales capacity and treats the data center as a repeatable, industrial system. The company differentiates itself by focusing on the physical ecosystem around AI—power reliability, manufacturing throughput, governance, and national infrastructure readiness—beyond software. Its goal is to industrialize intelligence and expand America’s industrial capacity for the intelligence age by building the essential components, factories, and supply chains to scale AI.

Company size
Not listed
Company stage
Early VC
Total funding
$130M
Headquarters
United States
Founded
2026

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