Network Engineer – GPU / AI Infrastructure

Our client is a fast-growing AI infrastructure company building next-generation GPU-powered AI platforms. They operate high-performance AI data centers that support large-scale machine learning, AI model training and inference workloads. The environment is highly technical, focusing on low-latency networking, scalability, automation and operational excellence.

Primary Responsibilities

• Design, deploy and support high-performance data center network infrastructure for AI and GPU compute environments.
• Build, configure, and optimize Spine-Leaf network architectures for large-scale GPU clusters.
• Deploy and manage high-speed Ethernet and/or InfiniBand fabrics supporting AI/HPC workloads.
• Configure and maintain Layer 2 and Layer 3 networking technologies, including BGP, OSPF, VXLAN EVPN, ECMP, and MLAG/VPC.
• Monitor, troubleshoot, and resolve complex network issues across compute, storage, and AI infrastructure.
• Optimize network performance, latency, and throughput to support distributed AI training and inference.
• Perform firmware upgrades, network maintenance, capacity planning, and lifecycle management.
• Collaborate closely with Platform, Infrastructure, Linux, DevOps, and AI Engineering teams to deliver scalable AI infrastructure.
• Develop and maintain network documentation, operational procedures, and technical runbooks.
• Implement network monitoring, alerting, and automation to improve operational efficiency.
• Participate in incident response and on-call support for production environments.
• Evaluate and recommend new networking technologies to improve scalability, reliability, and performance.

What We're Looking For

• Bachelor's Degree in Computer Science, Computer Engineering, Information Technology, or a related discipline.
• 5+ years of experience designing or supporting enterprise or data center network infrastructure.
• Strong understanding of modern data center networking principles
• Hands-on experience with routing and switching protocols such as BGP, OSPF, VXLAN EVPN, ECMP, and MLAG/VPC.
• Experience managing high-speed Ethernet networks (25G/40G/100G/200G/400G).
• Exposure to AI, HPC, GPU clusters, or large-scale compute environments would be highly advantageous.
• Experience working with networking platforms such as Cisco Nexus, Arista, Juniper, NVIDIA Spectrum, or Mellanox.
• Good understanding of network security concepts including segmentation, ACLs, and firewall policies.
• Familiarity with Linux networking fundamentals and troubleshooting.
• Experience with network automation using Python, Ansible, REST APIs, or similar tools is an advantage.
• Knowledge of technologies such as InfiniBand, RoCEv2, RDMA, GPUDirect, SONiC, or Cumulus Linux is a plus.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent communication skills with the ability to collaborate effectively across cross-functional engineering teams.
• Comfortable working in a fast-paced, high-availability production environment supporting mission-critical AI infrastructure.

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EA License: 22C1396

EA Personnel: R1551466