Member of Technical Staff – Datacenter Networking

Job not on LinkedIn

🔥 6 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $150k - $300k / year

⏰ Full Time

🔴 Lead

🖥 Software Engineer

👻 Ghost score 0%

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Prime Intellect

WebsiteLinkedInAll Job Openings

1 - 10 employees

🤖 Artificial Intelligence

☁️ SaaS

Artificial Intelligence • SaaS • Cloud Computing

Prime Intellect is a company focused on democratizing AI development by providing scalable and decentralized computing resources for training models. Their platform allows users to find and share global compute resources, enabling the training of state-of-the-art models through distributed clusters. They promote the collective ownership of AI innovations, including language and scientific models. Prime Intellect also offers a range of GPU options to facilitate affordable and efficient model training. They aim to advance decentralized training research and open-source AI development on a global scale.

📋 Description

• 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 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 • Work directly with customers pushing the boundaries of AI • Collaborate with the engineering team on systems powering AI breakthroughs

🎯 Requirements

• 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 • Knowledge of leaf-spine architectures, BGP, ECMP, VLANs, and network segmentation • Knowledge of RDMA concepts and performance tuning, congestion control, and lossless Ethernet considerations • Knowledge of Linux networking, NIC drivers and firmware, packet capture, and throughput/latency testing • Knowledge of optics, transceivers, cable management, and link-level diagnostics • Knowledge of 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 • Experience with network simulation, automated validation, and capacity planning

🏖️ Benefits

• Equity incentives • Remote work option