Sr. AI Data Center Network Engineer

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., * 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

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., * 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.

Depends on Experience