Network Engineer

Responsibilities

• Design and implement highly available, low-latency, high-bandwidth networks for AI training fabrics, inference front ends, storage, site/OT networks, and campus infrastructure.
• Design, maintain, and operate supercomputer data center and campus networks in collaboration with infrastructure, compute, storage, SiteOps, facilities, and enterprise teams.
• Evaluate, procure, and deploy data-center networking hardware, including switches, NICs, firewalls, optical multiplexers, and related appliances supporting 400G/800G and beyond.
• Develop network automation tooling, including configuration analysis, linting, validation, GitOps, Infrastructure as Code, and scalable deployment frameworks.
• Coordinate change windows for software updates, hardware refreshes, cluster expansions, and maintenance, including evenings and weekends when required.
• Troubleshoot network issues affecting cluster health and job performance; document root-cause analyses and lead retrospectives.
• Support cluster bring-up, expansion, and production training/inference campaigns; participate in on-call rotations.
• Build network monitoring and telemetry for fabric health, congestion, packet loss, and NCCL/collective performance.
• Create and maintain network architecture documentation, design drawings, fiber and cable plant records, and operational procedures.
• Identify systemic failure modes and false redundancy across AI fabrics and site networks.
• Gather requirements and develop implementation plans for new halls, rows, and campus interconnects with customers, vendors, and contractors.
• Maintain network compliance with ITAR, ISO, NIST, and cybersecurity standards, including segmentation between compute, storage, OT/controls, and corporate networks.

Requirements

• Bachelor’s degree in computer science, computer engineering, or another STEM discipline and 3+ years of professional network engineering experience, or 5+ years of professional network engineering experience in lieu of a degree.
• Hands-on experience designing, deploying, supporting, and troubleshooting Layer 2 and Layer 3 networks in latency-sensitive, industrial, or data-center environments.
• Experience with multiple network vendors in production or lab environments.
• Experience using and contributing to GitOps and Infrastructure as Code frameworks.
• Understanding of the OSI model and network standards.
• Ability to pass applicable background checks; work in tight quarters and at heights; lift 30 pounds; drive with a valid license; and travel up to 20%.
• Availability for extended hours, weekends, emergency 24x7 support, and after-hours on-call rotations.

Preferred Skills and Experience

• Cisco, Arista, Juniper, or NVIDIA Spectrum-X data-center switches.
• RoCEv2 Ethernet AI/HPC fabrics; InfiniBand experience.
• AI training and inference traffic patterns, collectives, congestion, ECMP, adaptive routing, and NCCL.
• WDM and large-scale single-mode or multimode fiber plants, including OTDR and acceptance testing.
• Switch port security, network segmentation, QoS, multicast, and redundancy protocols.
• Network monitoring, Layer 1 test tools, operational telemetry, and dashboards.
• Bash, PowerShell, Python, Terraform, and Ansible.
• Linux and Windows system administration.
• CCNA or CCNP certification.
• Real-time systems, industrial control/OT networks, or high-reliability environments in data centers, energy, aerospace, defense, or similar industries.
• Strong communication with internal and external customers, vendors, and management.