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Crux AI

Compute-as-a-service platform for large AI workloads

Vice President Networking

Network Engineering & AdministrationConfirmed live in the last 24 hours
Full-timePalo Alto, CA, USA

About the Job

Requirements

  • At least 15 years of experience in large-scale networking, including at least 7 years leading organizations at the VP level or above.
  • Direct ownership of a production network at hyperscale, such as a data center fabric, global backbone, data center interconnect, or cloud networking platform, with accountability for reliability and customer outcomes.
  • A track record of turning a network into a software system through software-defined networking, automation, programmable data planes, or network virtualization at production scale.
  • Ability to engage deeply with principal architects and vendor CTOs on congestion control, optics, and fabric topology, and communicate the same topics to the board.
  • Experience operating as both an operator and vendor or builder and buyer.
  • Ability to navigate ambiguity and complexity.
  • Strong skepticism about network readiness and an approach that tests acceptance under all-to-all, customer-shaped load.
  • Ability and willingness to work deeply in engineering implementations.
  • Fluency with AI agents or commitment to quickly becoming fluent, and use of agentic workflows as a first principle.
  • Hands-on experience building AI-enabled tools for network design or operations is expected as a success outcome within six months.

Responsibilities

  • Own Crux's network end to end, including cluster fabric, data center networks, interconnect and backbone between sites, customer connectivity, and the software used to design, deploy, and operate these systems.
  • Build the networking organization from its first leaders, set the architecture of record, and coordinate network planning with power, facilities, TPU systems, and site selection.
  • Define the architecture of record across cluster fabric, data center network, data center interconnect, backbone, and customer connectivity, including dedicated interconnect, peering, and private links, to meet the TPU system design Google provides.
  • Build and lead the networking organization across architecture, network software and automation, deployment, and operations; hire network leaders and maintain awareness of operational issues.
  • Own network performance and reliability for large-scale training and inference, including bandwidth, latency, congestion behavior, failure domains, and availability service-level objectives.
  • Operate the network through disciplined processes rather than heroics.
  • Run the network as a software system using zero-touch provisioning, intent-based configuration, fleet-wide telemetry, and automated remediation.
  • Set vendor and technology strategy for switching, optics, and transport with Strategic Supply, including standardization, dual-sourcing, and consideration of emerging options such as optical circuit switching.
  • Partner with Data Center Engineering and Capacity Delivery on fiber, cabling, and meet-me design for each build; with Site Selection on fiber and carrier access at candidate sites; with Compute on tenant isolation and provisioning; and with Sales and Customer Success on customer connectivity commitments.
  • Establish the network security and isolation posture required by sovereign and regulated customers.
  • Own network inputs, including capital expenditure, optics, transport, and failure rates, to the cost and margin model of record.
  • Understand the TPU system design, capacity plan of record, and first-site network requirements; publish a written network architecture and organizational plan.
  • Hire or commit the first network leaders across architecture, software, and deployment.
  • Set the switching, optics, and transport approach for initial builds with Strategic Supply and Google.
  • Establish working cadences with Google counterparts, Data Center Engineering, Compute Engineering, and customers' engineering and product teams.
  • Adapt to a fast-paced environment, triage appropriately, and continuously improve the function.
  • Establish AI-forward development of the zero-touch provisioning, orchestration, and observability stack.
  • Deliver the network for the first production TPU clusters through design, deployment, and acceptance on the committed timeline.
  • Establish zero-touch provisioning and fleet telemetry, with network service-level objectives reviewed weekly in a format trusted by the executive team.
  • Bring initial customers onto the platform through dedicated connectivity that meets their performance and isolation requirements.
  • Build hands-on AI-enabled tools for network design or operations that the team uses daily.
  • Run a multi-site network with backbone and interconnect meeting customer reliability and performance targets, while reducing incident frequency and severity.
  • Build a high-performing networking organization with strong leaders in every domain and a hiring bar that holds as the team grows.
  • Agree on a network roadmap for future capacity phases that reduces cost per unit of bandwidth as the fleet grows.

Desired Qualifications

  • Network leadership at a hyperscaler such as Google, Microsoft Azure, AWS, or Meta, or at a neocloud such as CoreWeave, Nebius, Lambda, or Crusoe.
  • Hands-on experience with AI cluster networking, including RDMA and RoCE, Ultra Ethernet, large training fabrics, or optical circuit switching.
  • Depth in optical transport, including long-haul, metro, or subsea systems.
  • Experience with programmable data planes, SmartNICs, or DPUs.
  • Patents or publications, for example in SIGCOMM or OFC, and standing in industry bodies such as the Open Compute Project, Ultra Ethernet Consortium, or OpenConfig.

About the Company

Crux AI

Compute-as-a-service platform for large AI workloads

Crux AI offers compute-as-a-service for large-scale AI workloads by combining power, high-density data centers, networking, and accelerated computing into a single managed platform. It uses Google’s TPU hardware and software, with Crux AI acting as the single accountable partner from long-term capacity planning to production deployment. The company differentiates itself by delivering a reliability-engineered TPU-based infrastructure backed by Google and Blackstone, focused on end-to-end, turnkey management rather than generic cloud services. Its goal is to help customers scale demanding AI workloads with an enterprise-grade, dependable infrastructure and support.

Company size
1-10
Company stage
Debt Financing
Total funding
$22B
Headquarters
Palo Alto, CA
Founded
2026

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