Member of Technical Staff - Datacenter Networking

Summary

Prime Intellect is building an open superintelligence stack that provides infrastructure for frontier AI development. The Member of Technical Staff will design and operate high-performance datacenter networks connecting large GPU clusters, ensuring reliable and scalable training, storage, inference, and management connectivity.

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

• 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
• Experience troubleshooting network problems across Linux hosts, NICs, switches, and physical links
• Ability to automate network operations with Python, Ansible, or comparable tools
• Leaf-spine architectures, BGP, ECMP, VLANs, and network segmentation
• RDMA concepts and performance tuning; congestion control and lossless Ethernet considerations
• Linux networking, NIC drivers and firmware, packet capture, and throughput/latency testing
• Optics, transceivers, cable management, and link-level diagnostics
• Safe change management, configuration versioning, telemetry, and alerting
• Experience operating 400G/800G networks or large multi-rack GPU clusters
• NVIDIA Spectrum or Quantum networking experience
• NCCL performance analysis and distributed training troubleshooting
• EVPN/VXLAN, SONiC, or network source-of-truth systems
• Experience with network simulation, automated validation, and capacity planning

Qualifications

Must Haves

• 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
• Experience troubleshooting network problems across Linux hosts, NICs, switches, and physical links
• Ability to automate network operations with Python, Ansible, or comparable tools
• Leaf-spine architectures, BGP, ECMP, VLANs, and network segmentation
• RDMA concepts and performance tuning; congestion control and lossless Ethernet considerations
• Linux networking, NIC drivers and firmware, packet capture, and throughput/latency testing
• Optics, transceivers, cable management, and link-level diagnostics
• Safe change management, configuration versioning, telemetry, and alerting

Nice to Haves

• Experience operating 400G/800G networks or large multi-rack GPU clusters
• NVIDIA Spectrum or Quantum networking experience
• NCCL performance analysis and distributed training troubleshooting
• EVPN/VXLAN, SONiC, or network source-of-truth systems
• Experience with network simulation, automated validation, and capacity planning

Benefits

• Equity incentives