Network Engineer (Supercomputer Infrastructure)

SpaceXAI is seeking a Network Engineer to support the design, build-out, and operation of networks powering AI supercomputer campuses. The ideal candidate has experience in mission-critical, large-scale production environments.

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 according to company standards.
• Evaluate, procure, and deploy network hardware, including data-center class switches and related appliances.
• Contribute to maturing network automation tooling and implement configuration analysis, linting, validation, and scalable deployment frameworks.
• Plan and coordinate network change windows with stakeholders.
• Troubleshoot and resolve network-related issues affecting cluster health and job performance.
• Provide direct networking support during cluster bring-up, expansion, and production training/inference campaigns.
• Proactively tailor network monitoring and telemetry.
• Continuously create and update network documentation.
• Collaborate with cross-functional teams to identify and resolve potential design issues.
• Perform job walks with customers, vendors, and contractors.
• Ensure networks are configured and maintained in compliance with industry and cybersecurity standards.

Basic 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.
• Functional experience with multiple network vendors in production or lab environments.
• Experience with GitOps and Infrastructure as Code frameworks.

Preferred Skills and Experience:

• Strong understanding of the OSI model and network standards.
• Hands-on experience with Cisco, Arista, Juniper, and/or NVIDIA Spectrum-X data-center class switches.
• Experience with RoCEv2 Ethernet AI/HPC fabrics; InfiniBand experience is a plus.
• Working knowledge of AI training and inference traffic patterns.
• Experience with WDM and large-scale single-mode / multimode fiber plants.
• Experience with switch port security, network segmentation, QoS, multicast, and redundancy protocols.
• Familiarity with network monitoring and Layer 1 test tools.
• Proficiency in scripting and automation frameworks.
• Linux and Windows system administration experience.
• Industry-standard certifications such as CCNA or CCNP.
• Experience supporting real-time systems, industrial control / OT networks, or high-reliability environments.