Staff Network Deployment Engineer, Lab

Crusoe Crusoe · Data AI · San Francisco, CA - US · Cloud Engineering

Crusoe is an AI infrastructure company focused on providing energy-efficient compute for AI workloads. This role is for a Staff Network Deployment Engineer responsible for the physical and logical implementation of lab research and integration networks for GPU compute clusters. The engineer will lead deployment, management, diagnosis, and repair of high-performance networks, automate staging and configuration, and support the latest NVIDIA and AMD GPUs. The role requires strong network engineering skills, automation proficiency, and experience with data center deployments.

What you'd actually do

  1. Lead the end-to-end deployment of network infrastructure for our Crusoe lab.
  2. Take high-level designs from the Network Development team and translate them into implementation plans, cable maps, and configuration templates.
  3. Perform rigorous "Burn-in" testing acceptance testing (SAT) for new network clusters.
  4. Use Python, Ansible, and ZTP (Zero Touch Provisioning) to automate the staging and configuration of network devices.
  5. Work with remote hands, cabling vendors, and to ensure physical layer standards (fiber paths, power requirements, and cooling) meet Crusoe’s stringent HPC requirements.

Skills

Required

  • 8+ years of experience in network engineering with a heavy focus on large-scale data center deployments and infrastructure projects.
  • Expert knowledge of structured cabling (SMF/MMF, MPO/MTP), optical transceivers (400G/800G), and data center power/cooling requirements.
  • Hands-on experience configuring Arista (EOS), Juniper (Junos), and NVIDIA/Mellanox platforms in a leaf-spine architecture.
  • Solid understanding of BGP, EVPN-VXLAN as they relate to large-scale fabric provisioning.
  • Proficiency in Python and Ansible for automating repetitive deployment tasks and validating configuration state.
  • Proven ability to manage multiple complex projects simultaneously across different time zones and physical locations.
  • Ability to diagnose complex physical layer and link-layer issues using OTDRs, light meters, and packet captures.
  • Bachelor’s degree in a technical field or equivalent practical experience in hyperscale or ISP environments.