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Network Engineer

Design rack layouts and cluster topologies for AI training infrastructure

Design rack layouts and cluster topologies for large-scale AI training and inference systems. Inform thermal and power planning with facilities teams while architecting the network fabric. Tune collective communications for training and inference workloads and build telemetry and observability to drive performance, benchmarking, and incident response across thousands of compute nodes.

Why This Role?

Own the network powering large-scale AI training and inference

Key Responsibilities

  • Design rack layouts and cluster topologies
  • Inform thermal and power planning with facilities teams
  • Architect the network fabric
  • Tune collective communications for training and inference workloads
  • Build telemetry and observability
  • Drive performance, benchmarking, and incident response

Requirements

  • BS in CS, EE, or related field, or equivalent production experience
  • Rack-to-cluster deployment experience: cabling, power, and thermal management
  • Expertise in network fabric architecture across RoCEv2 and InfiniBand: routing, load balancing, topology, queueing, congestion control, and
  • Experience tuning collective communications: NCCL, RCCL, or vendor-specific libraries
  • Experience with network telemetry: NIC counters, switch streaming (gNMI, sFlow, INT), and collective-level metrics
  • Experience operating large-scale GPU or ASIC clusters in production

Required Skills

network architecturerack designinfrastructure managementtelemetryai infrastructureNetwork Fabric ArchitectureCollective Communications TuningNetwork TelemetryRack and Cluster DeploymentThermal and Power ManagementGPU/ASIC Cluster Operations

Indonesia Context

Working Hours Overlap:
Flexible — work your own hours
See remote (USD) vs local pay →

Keywords

Network EngineerAI InfrastructureRoCEv2InfiniBandNCCLGPU ClustersTelemetryAI Training
View Original Description from Ashby Job Boards

Original description from Ashby Job Boards

About the role Own the network powering large-scale AI training and inference. Your expertise spans hardware and software including rack design, fabric topology, thermal management, collective communications, telemetry, and performance across thousands of compute nodes. What you'll do - Design rack layouts and cluster topologies - Inform thermal and power planning with facilities teams - Architect the network fabric - Tune collective communications for training and inference workloads - Build telemetry and observability - Drive performance, benchmarking, and incident response   What you'll need - BS in CS, EE, or related field, or equivalent production experience - Rack-to-cluster deployment experience: cabling, power, and thermal management - Expertise in network fabric architecture across RoCEv2 and InfiniBand: routing, load balancing, topology, queueing, congestion control, and QoS - Experience tuning collective communications: NCCL, RCCL, or vendor-specific libraries - Experience with network telemetry: NIC counters, switch streaming (gNMI, sFlow, INT), and collective-level metrics - Experience operating large-scale GPU or ASIC clusters in production   What we offer - Top-tier compensation structured to recognize and retain the best talent - Meaningful equity - Comprehensive medical, dental, vision, life, and disability insurance - Parental leave for all new parents, including adoptive and surrogate journeys - Flexible PTO - Paid Holidays - Relocation support   Equal Employment Opportunity We're an Equal Opportunity Employer and do not discriminate on the basis of any protected status under applicable law.

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Source
Ashby Job Boards
Job Type
full time
Location
Remote · Open worldwide
Category
Seniority
senior
Posted
May 17, 2026

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Frequently asked questions

Is Network Engineer at Material Security a remote job?
Yes. Network Engineer at Material Security is a fully remote role open to candidates worldwide.
What type of employment is Network Engineer at Material Security?
This is a full time position.
How do I apply?
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