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Salary: USD 165,000 - 200,000 / annual
Crusoe is a vertically integrated AI infrastructure company building the future of energy-efficient AI compute. They own and operate every layer of the stack—from electrons to tokens—to power the world's most ambitious AI workloads.
You'll join Crusoe Cloud as a Staff Network Production Engineer supporting the physical and logical implementation of their rapidly expanding global network of high-performance compute (HPC) and GPU-based AI infrastructure. This is a technical, hands-on role at the intersection of network engineering, data center operations, and project management.
Key responsibilities:
- Execute on-site and remote network deployments for new data center and edge site builds, from rack-and-stack through final cutover
- Translate architecture designs into concrete deployment steps: cable maps, port assignments, device configs, and site-specific runbooks
- Write and maintain Python/Ansible automation and ZTP workflows to stage, configure, and validate switches and routers at scale
- Support burn-in and site acceptance testing (SAT) on new clusters, diagnose failures, and drive clean handoffs to Operations
- Configure and troubleshoot Arista, Juniper, and NVIDIA/Mellanox gear in leaf-spine fabrics, including BGP, EVPN-VXLAN, and LLDP
- Work directly with structured cabling vendors, remote hands, and data center providers to resolve physical layer issues
- Diagnose physical and link-layer problems using OTDRs, light meters, and packet captures
- Track hardware inventory and support turn-up of new backbone and edge interconnect capacity
- Collaborate with other engineers on complex sites and flag recurring issues for process/automation improvements
- Participate in on-call rotation for production network incidents
Requirements:
- 5+ years of network engineering experience with focus on large-scale data center deployments and infrastructure projects
- Strong knowledge of physical layer standards: structured cabling (SMF/MMF, MPO/MTP), optical transceivers (400G/800G), data center power/cooling
- Solid routing and switching knowledge: hands-on experience with Arista (EOS), Juniper (Junos), and NVIDIA/Mellanox in leaf-spine architecture
- Working understanding of BGP, EVPN-VXLAN, and LLDP as they relate to large-scale fabric provisioning
- Proficiency in Python and Ansible for automating deployment tasks and validating configuration state
- Ability to manage multiple projects simultaneously across different time zones and physical locations
- Strong troubleshooting skills for physical layer and link-layer issues
- Bachelor's degree in a technical field or equivalent practical experience in hyperscale or ISP environments
Bonus qualifications:
- Experience in hyperscale, ISP, or large multi-tenant data center environments
- Familiarity with GPU cluster networking (RDMA/RoCE, InfiniBand, NVIDIA NCCL-aware fabric design)
- Exposure to network monitoring and observability tooling (Prometheus, Grafana, telemetry-based fabric health checks)
- Vendor certifications (CCNP, JNCIP, Arista ACE)
- Prior experience mentoring junior engineers or contributing to deployment standards/documentation
