Member of Technical Staff – Datacenter Networking

Prime Intellect

. Design and deploy scalable datacenter network topologies for GPU training, inference, storage, and management traffic .

Posted 10/16/2026full-timeRemote • California • United StatesLead💰 $150,000 - $300,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and deploying scalable datacenter network topologies, with a strong focus on high-performance GPU networking and automation of network operations. Proficient in troubleshooting complex network issues and collaborating with cross-functional teams to enhance AI infrastructure.

Highest-signal resume keywords

Datacenter Networking ExperienceHigh-Performance GPU NetworkingNetwork Automation with Python or AnsibleEthernet and InfiniBand ConfigurationTroubleshooting Network Problems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

EthernetTCP/IPRoutingSwitchingInfiniBandRoCELinux NetworkingPacket CapturePerformance TuningConfiguration Versioning

Tools & Technologies

AnsiblePythonNVIDIA SpectrumNCCLEVPNVXLANSONiC

Industry Keywords

DatacenterGPU ClustersLeaf-Spine ArchitectureBGPECMPVLANsNetwork SegmentationTelemetryAlertingCabling Management

Tech Stack

Tools & technologies

AnsibleLinuxPythonSwitchingTCP/IP

About the role

Key responsibilities & impact

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, from startups training foundation models to enterprises deploying massive inference infrastructure
Collaborate with the engineering team while impacting systems powering next-generation AI breakthroughs

Requirements

What you’ll need

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
Experience with leaf-spine architectures, BGP, ECMP, VLANs, and network segmentation
Knowledge of RDMA concepts and performance tuning, congestion control, and lossless Ethernet considerations
Linux networking, NIC drivers and firmware, packet capture, and throughput/latency testing
Knowledge of optics, transceivers, cable management, and link-level diagnostics
Experience with safe change management, configuration versioning, telemetry, and alerting
Expertise or track record of successful large-scale deployments
Nice to have: experience operating 400G/800G networks or large multi-rack GPU clusters
Nice to have: NVIDIA Spectrum or Quantum networking experience
Nice to have: NCCL performance analysis and distributed training troubleshooting
Nice to have: EVPN/VXLAN, SONiC, or network source-of-truth systems
Nice to have: network simulation, automated validation, and capacity planning experience

Benefits

Comp & perks

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