AI Data Center Network Engineer

High Trail; United States; On-site; USD 120,000 - 190,000; Full time

Job summary

High Trail, Inc. is seeking an experienced AI Data Center Network Engineer to design, implement, and maintain high-performance networks for enterprise-scale AI and GPU computing environments.

The role focuses on building scalable, low-latency data center fabrics using Spine-Leaf and Clos topologies, optimizing east-west traffic for distributed model training and inference, and integrating networks with storage and compute clusters.

Qualifications

• Experience supporting AI data centers, GPU clusters, machine learning infrastructure, or HPC environments.
• 3+ years of hands-on experience designing, configuring, deploying, or troubleshooting enterprise data center networks.
• Experience supporting high-performance networking environments utilizing 100GbE or higher-speed networking technologies.
• Strong understanding of Layer 2 and Layer 3 networking, including switching, routing, VLANs, BGP, and network segmentation.
• Experience with data center network architectures, including Spine-Leaf and Clos topologies.
• Experience configuring and troubleshooting enterprise networking hardware from vendors such as Cisco, Arista, Juniper, or NVIDIA.

Responsibilities

• Design, deploy, and maintain scalable network infrastructure supporting AI/ML training clusters, GPU computing environments, and HPC workloads.
• Engineer high-bandwidth, low-latency network architectures optimized for distributed AI workloads and large-scale GPU communication.
• Design and implement Spine-Leaf, Clos, and other scalable data center network topologies.
• Support network infrastructure connecting GPU servers, AI accelerators, storage systems, and compute clusters.
• Develop network architectures supporting east-west traffic, distributed model training, AI inference, and large-scale data movement.
• Evaluate and implement networking technologies supporting AI infrastructure expansion and next-generation data center environments.
• Collaborate with architecture teams to establish network standards, capacity planning, and infrastructure scalability requirements

Skills

AI data centers

GPU computing

100GbE+ networking

Spine-Leaf topology

Clos topology

Network automation

BGP

L2/L3 switching

Tools

Cisco gear

Arista gear

Juniper gear

NVIDIA gear

Job description

Our client is seeking an experienced AI Data Center Network Engineer to design, implement, configure, and maintain high-performance network infrastructure supporting enterprise-scale artificial intelligence, machine learning, and GPU computing environments.

This individual will play a critical role in building and optimizing the network infrastructure required for large-scale AI training, inference, and high-performance computing (HPC) workloads. The ideal candidate will have strong experience with data center networking, high-speed Ethernet, InfiniBand, network automation, and distributed computing environments.

Key Responsibilities

• Design, deploy, and maintain scalable network infrastructure supporting AI/ML training clusters, GPU computing environments, and high-performance computing workloads.
• Engineer high-bandwidth, low-latency network architectures optimized for distributed AI workloads and large-scale GPU communication.
• Design and implement Spine-Leaf, Clos, and other scalable data center network topologies.
• Support network infrastructure connecting GPU servers, AI accelerators, storage systems, and compute clusters.
• Develop network architectures supporting east-west traffic, distributed model training, AI inference, and large-scale data movement.
• Evaluate and implement networking technologies supporting AI infrastructure expansion and next-generation data center environments.
• Collaborate with architecture teams to establish network standards, capacity planning, and infrastructure scalability requirements

Required Qualifications

• Experience supporting AI data centers, GPU clusters, machine learning infrastructure, or high-performance computing environments.
• 3+ years of hands‑on experience designing, configuring, deploying, or troubleshooting enterprise data center networks.
• Experience supporting high-performance networking environments utilizing 100GbE or higher‑speed networking technologies.
• Strong understanding of Layer 2 and Layer 3 networking, including switching, routing, VLANs, BGP, and network segmentation.
• Experience with data center network architectures, including Spine-Leaf and Clos topologies.
• Experience configuring and troubleshooting enterprise networking hardware from vendors such as Cisco, Arista, Juniper, or NVIDIA.