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SpaceXAI

Network Engineer

SpaceXAI
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onsite senior full-time $150,000 - $250,000 USD Palo Alto, CA

First indexed 14 Sept 2026

Description

SpaceXAI is seeking a Network Engineer to design, deploy, and operate large-scale networks that support training and inference infrastructure. The ideal candidate will have strong fundamentals, own production network design, deployment, and operations end-to-end, and be comfortable with hands-on engineering.

Responsibilities:

  • Design, deploy, and operate production datacenter and campus/core networks at scale
  • Own routing and switching configuration standards, including change design, peer reviews, and execution
  • Qualify new network platforms, optics, and topologies; contribute to architecture and capacity planning
  • Build and improve monitoring, alerting, and operational documentation
  • Troubleshoot Layer 2/Layer 3 incidents end-to-end
  • Automate repetitive network tasks with Python, Ansible, or similar tooling
  • Partner with compute, facilities, and software teams during cluster build-outs and maintenance windows
  • Support high-performance/supercompute network environments

Basic Qualifications:

  • Several years designing and/or operating production networks in a datacenter, ISP, cloud, or large enterprise environment
  • Solid hands-on experience with BGP and at least one interior routing protocol
  • Working knowledge of TCP/IP, VLANs, EVPN/VXLAN, and optics/high-speed Ethernet
  • Experience troubleshooting live production network incidents and participating in on-call
  • Strong written and verbal communication

Preferred Skills and Experience:

  • Experience with modern datacenter vendors (e.g., Arista, Cisco, Juniper, Nvidia/Mellanox)
  • Familiarity with high-performance or supercompute networking
  • Network automation (Python, Ansible, Terraform, or similar) used in production
  • Experience with EVPN, leaf-spine, and large-scale Ethernet fabrics
  • Prior work supporting rapid datacenter or cluster capacity build-outs
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting: https://job-boards.greenhouse.io/xai/jobs/5235761007