Skip to main content

xAI

Network Engineer (Supercomputer Infrastructure)

Memphis, Tennessee; Southaven, MississippimidAdded today

About this role

SpaceXAI seeks a network engineer to design, deploy, and operate mission-critical networks powering AI supercomputer campuses. You'll manage high-bandwidth, low-latency fabrics supporting GPU clusters, handle infrastructure automation and compliance, and troubleshoot production issues in a fast-paced environment.

What you'll do

  • Design and implement highly available, low-latency networks for AI training and inference clusters with advanced routing and redundancy
  • Deploy and maintain supercomputer data center networks using 400G/800G equipment and modern network vendors
  • Build network automation tooling including configuration management, GitOps, and Infrastructure as Code frameworks
  • Coordinate network changes and maintenance windows with stakeholders, including after-hours work when needed
  • Troubleshoot network issues affecting cluster performance and document root cause analyses
  • Provide on-call support during cluster operations and monitor fabric health using telemetry and performance metrics

What they're looking for

  • Layer 2 and Layer 3 network design and troubleshooting
  • Data center networking with Cisco, Arista, Juniper, or NVIDIA Spectrum-X switches
  • GitOps and Infrastructure as Code (Terraform, Ansible, or similar)
  • RoCEv2 Ethernet and AI/HPC fabric experience
  • Understanding of AI training traffic patterns and collective operations
  • Network security and compliance (ITAR, NIST, segmentation)
  • Optical multiplexing and high-speed interconnects
  • Monitoring and telemetry tools for fabric health
Apply with Autofill

Opens the application — the Jobs AI extension fills it for you. Set up autofill

Opens the official application on the employer’s site. No login required.

xAI

xAI builds advanced AI infrastructure and systems, including the Grok model inference platform and Colossus GPU cluster. The company is hiring Mechanical, Electrical, and Facilities Engineers to design and maintain its data center operations, as well as Software Engineers to optimize high-performance inference systems and datacenter networking.

View all jobs at xAI

Likely interview questions

  • Describe your experience designing networks for latency-sensitive environments and how you balanced routing, congestion control, and redundancy
  • Walk us through a production network issue you debugged in a high-performance computing or data center setting and how you resolved it
Unlock all 7 questions free — and practice them live →