AI Supercomputer Network Engineer

SpaceXAI; Southaven (MS); On-site; USD 110,000 - 150,000; Full time

Job summary

SpaceXAI is seeking a talented network engineer to design, deploy, and operate networks powering AI supercomputer campuses. You will work on fabric networking for GPU training and inference clusters, implement automation tooling, and collaborate with SiteOps, compute, and storage teams to ensure low-latency, high-bandwidth performance.

The role demands strong communication, urgency balanced with operational excellence, and hands-on leadership in fast-paced production environments.

Qualifications

• Bachelor’s degree in computer science, computer engineering, or other STEM discipline and 3+ years of professional network engineering experience; OR 5+ years of professional network engineering experience in lieu of a degree.
• Extensive hands-on experience designing, deploying, supporting, and troubleshooting Layer 2 and Layer 3 networks in latency-sensitive environments.
• Functional experience with multiple network vendors in production or lab environments.
• Experience with GitOps and Infrastructure as Code frameworks, both as a user and contributor.

Responsibilities

• Design and implement highly available, low-latency, high-bandwidth networks for AI training fabrics, inference front-ends, storage, and site/OT networks.
• Design and maintain supercomputer data center and campus networks; collaborate with adjacent teams.
• Evaluate, procure, and deploy network hardware including data-center switches, NICs, firewalls, and optical equipment supporting 400G/800G.
• Contribute to maturing network automation tooling; implement configuration analysis, linting, validation, and scalable deployment frameworks (GitOps / IaC).
• Plan and coordinate network change windows for software updates, hardware refreshes, cluster expansions; evenings/weekends as required.
• Troubleshoot and resolve network issues; publish RCA documentation and retrospectives.
• Provide direct networking support during cluster bring-up and production campaigns; on-call as needed.
• Tailor network monitoring and telemetry to detect issues before impacting training/inference.
• Create and update network documentation including architecture, drawings, fiber/cable records, procedures.
• Collaborate with cross-functional teams to resolve design issues and redundant failures.
• Perform site walks to gather requirements and produce implementation plans for new halls/campus interconnects.
• Ensure networks comply with ITAR, ISO, NIST; manage segmentation between compute, storage, OT, and corporate networks.

Skills

Network engineering

L2/L3 networking

Scripting (Python)

GitOps

Automation

Linux administration

Education

Bachelor’s degree in computer science / engineering or STEM

Tools

Cisco switches

Arista switches

Juniper switches

NVIDIA Spectrum-X

Terraform

Ansible

NCCL

Job description

SpaceXAI is seeking a talented network engineer to design, deploy, and operate networks powering AI supercomputer campuses. You will work on fabric networking for GPU training and inference clusters, implement automation tooling, and collaborate with SiteOps, compute, and storage teams to ensure low-latency, high-bandwidth performance.

The role demands strong communication, urgency balanced with operational excellence, and hands-on leadership in fast-paced production environments.