AI GPU Cluster Operations – Network Engineer
- Source: Indeed
- Aquila Hash
- from $100,000 /yr
- On-site
- Barker
- Full-Time
- Mid level
Job Description
Position Overview
The AI GPU Cluster Operations – Network Engineer is responsible for the operations, maintenance and troubleshooting of high-performance networking infrastructure supporting large-scale AI GPU computing clusters.
The role focuses on InfiniBand, RoCE and data center IP networks, while also requiring a strong understanding of GPU servers, Linux and the overall AI cluster architecture.
The engineer will monitor network and cluster health, troubleshoot connectivity and performance issues, maintain high-speed network infrastructure, support production incidents, implement approved network changes and work with internal engineering teams and OEM vendors to drive technical issues through resolution.
Key Responsibilities
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Operate and maintain high-performance GPU cluster networks, including InfiniBand and RoCE, as well as standard data center IP networks.
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Manage and troubleshoot NVIDIA/Mellanox InfiniBand switches, high-speed Ethernet switches, NICs/HCAs, optical transceivers, cables and related network infrastructure.
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Monitor network health and identify link degradation, link flapping, congestion, packet loss, bandwidth or latency issues.
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Perform InfiniBand health checks and diagnostics using tools such as ibstat, ibdiagnet and other NVIDIA/Mellanox diagnostic utilities.
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Support InfiniBand Subnet Management, partition configuration, routing, link-health monitoring and performance-counter analysis.
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Troubleshoot RoCE environments, including connectivity, congestion and lossless Ethernet-related issues.
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Support data center IP network operations, including BGP, OSPF, VLAN, MLAG and TCP/IP.
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Troubleshoot GPU node connectivity and determine whether infrastructure issues originate from the server, NIC/HCA, optics, cabling, switch or network fabric.
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Work with GPU Cluster Operations Engineers to troubleshoot GPU-to-GPU and node-to-node communication issues, including network-related NCCL failures and performance degradation.
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Monitor network and infrastructure health using Prometheus, SNMP, Grafana and related monitoring platforms.
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Develop and maintain network monitoring, alerting and diagnostic capabilities.
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Perform approved network configuration changes, maintenance and upgrades according to established change-management procedures and Standard Operating Procedures (SOPs).
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Support network capacity planning and expansion of GPU cluster infrastructure.
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Use Python, Shell, Ansible and/or Terraform to automate network configuration, health checks, monitoring and repetitive operational tasks.
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Participate in infrastructure incident response, troubleshooting, post-incident reviews and Root Cause Analysis (RCA).
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Maintain network diagrams, configuration documentation, SOPs, troubleshooting guides and operational records.
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Coordinate with NVIDIA/Mellanox, server OEMs, network vendors and other technical support teams to resolve hardware and network issues.
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Support hardware replacement and RMA activities for switches, NICs/HCAs, optical transceivers and other network components.
Qualifications
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Degree or relevant educational background in Computer Science, Information Technology, Networking, Telecommunications, Engineering or a related field.
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3+ years of hands-on network operations, data center networking or infrastructure experience.
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Hands-on experience operating InfiniBand and/or RoCE networks in GPU, AI, HPC or large-scale data center environments.
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Experience with NVIDIA/Mellanox InfiniBand or high-speed Ethernet networking equipment is strongly preferred.
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Understanding of InfiniBand architecture, including Subnet Management, partitions, routing, link states and performance counters.
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Strong understanding of TCP/IP and data center networking.
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Working knowledge of BGP, OSPF, VLAN and MLAG.
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Ability to troubleshoot high-speed network connectivity, link degradation, congestion, packet loss and performance issues.
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Hands-on ability to troubleshoot switches, NICs/HCAs, optical transceivers, cables and switch ports.
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Familiarity with InfiniBand diagnostic tools such as ibstat and ibdiagnet.
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Familiarity with Linux and command-line troubleshooting.
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Experience with monitoring platforms and protocols such as Prometheus, SNMP and Grafana.
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Ability to write basic Python and/or Shell scripts for troubleshooting and automation.
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Experience with Ansible and/or Terraform is preferred.
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Good understanding of GPU cluster architecture a…
Skills
- scaleai
- nvidia
- NodeJS
- Prometheus
- Grafana
- Python
- Ansible
- Terraform
- root-cause
- amd
