Staff Datacenter Networking Engineer (GPU & AI Infra)

AI Chopping Block; San Francisco, Northern (CA, KY); On-site; USD 150,000 - 300,000; Full time

Job summary

AI Chopping Block in San Francisco is seeking a senior datacenter networking engineer to design and operate GPU networks, ensuring scalable training fabrics and reliable connectivity across clusters.

You will build and maintain leaf-spine topologies, InfiniBand/RoCE networks, and automation with Python and Ansible, collaborating with operators and vendors to resolve issues and drive performance for frontier AI workloads.

Qualifications

• 3+ years of production datacenter networking experience.
• Strong understanding of Ethernet, TCP/IP, routing, switching, and redundant network design.
• Hands-on experience with high-performance GPU networking using InfiniBand or RoCE.

Responsibilities

• Design and deploy scalable datacenter network topologies for GPU training, inference, storage, and management traffic.
• Configure and operate high-performance Ethernet/RoCE and InfiniBand fabrics with clear standards for routing, redundancy, and capacity.
• Automate network provisioning, configuration validation, upgrades, and rollback procedures.
• Diagnose packet loss, congestion, link failures, and collective communication performance across hosts and switches.
• Benchmark end-to-end network performance with infrastructure and ML teams, translating workload needs into measurable acceptance criteria.
• Build monitoring for port health, errors, utilization, congestion, and fabric topology; improve incident response and runbooks.
• Partner with datacenter operators and hardware vendors on cabling, optics, deployment readiness, and failure resolution

Skills

Datacenter networking

Linux networking

Python automation

Tools

Ansible

Job description

AI Chopping Block in San Francisco is seeking a senior datacenter networking engineer to design and operate GPU networks, ensuring scalable training fabrics and reliable connectivity across clusters.

You will build and maintain leaf-spine topologies, InfiniBand/RoCE networks, and automation with Python and Ansible, collaborating with operators and vendors to resolve issues and drive performance for frontier AI workloads.