Staff Datacenter Networking Engineer for GPU Infra

Prime Intellect; United States; On-site; USD 150,000 - 300,000; Full time

Job summary

Prime Intellect is building the open superintelligence stack and unified Lab platform for frontier AI workloads. You will design and operate the networks that connect large GPU clusters, ensuring reliability and performance for training and deployment.

The role requires hands-on experience with InfiniBand/RoCE, Ethernet/TCP-IP, and automation with Python or Ansible, plus a track record of large-scale deployments. Collaboration with datacenter operators and engineering teams is essential.

Qualifications

• 3+ years in production datacenter networking.
• Strong Ethernet, TCP/IP, routing, switching knowledge.
• Hands-on GPU networking with InfiniBand or RoCE.
• Automate network operations with Python/Ansible.
• Ability to diagnose network issues on Linux hosts and switches.

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 routing, redundancy, and capacity standards.
• Automate network provisioning, validation, upgrades, and rollback procedures.
• Diagnose packet loss, congestion, link failures, and performance issues across hosts and switches.
• Benchmark end-to-end network performance with infrastructure and ML teams; translate workloads into acceptance criteria.
• Build monitoring for port health, errors, utilization, congestion, and topology; improve incident response and runbooks.
• Partner with datacenter operators and hardware vendors on cabling, optics, deployment readiness, and failure resolution.

Skills

Datacenter networking

GPU networking

TCP/IP networking

Python automation

Network design

Troubleshooting

Tools

InfiniBand

RoCE

BGP/ECMP

NIC drivers

Job description

Prime Intellect is building the open superintelligence stack and unified Lab platform for frontier AI workloads. You will design and operate the networks that connect large GPU clusters, ensuring reliability and performance for training and deployment.

The role requires hands-on experience with InfiniBand/RoCE, Ethernet/TCP-IP, and automation with Python or Ansible, plus a track record of large-scale deployments. Collaboration with datacenter operators and engineering teams is essential.