GPU Cloud Network SRE - InfiniBand & RoCE Expert

Doist

Austin, San Jose (TX, CA)

Hybrid

USD 140,000 - 210,000

Full time

9 days ago

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Job summary

Bitdeer is seeking an experienced data center networking engineer to operate InfiniBand/Fabric fabrics and RoCEv2 networks across scalable GPU clusters in its US data centers. You will convert telemetry into actionable insights to prevent congestion and topology issues, enabling high-performance AI workloads.

You will own fabric monitoring, QoS and performance tuning, and collaborate with Nvidia/Mellanox support for escalations and firmware lifecycles.

Qualifications

  • 5+ years in data center networking.
  • Hands-on experience deploying and operating Nvidia/Mellanox InfiniBand switches at scale.
  • Strong understanding of IB subnet management, partitioning, and QoS.
  • Experience with RoCEv2 deployment including PFC, ECN, DCQCN configuration.
  • Proficiency with UFM or equivalent IB fabric management tools.
  • Knowledge of 400G/800G optics, cabling standards, and structured cabling best practices.

Responsibilities

  • Operate InfiniBand fabrics (fat-tree/rail-optimized/dragonfly) for large GPU clusters.
  • Manage RoCEv2 networks across Nvidia, Arista, and Cisco devices for RDMA workloads.
  • Use UFM for monitoring, diagnostics and subnet management.
  • Tune IB/RoCE performance (routing, congestion control, traffic isolation).
  • Tune NCCL communication (topology detection, ring/tree algorithms, GDR).
  • Oversee firmware lifecycles for IB switches and HCAs.
  • Diagnose faults (link flaps, symbol errors, drops, routing issues).
  • Coordinate with Nvidia/Mellanox support for escalations and RMA.
  • Feed telemetry (ibdiagnet, perfquery, ibstat, PortRcvErrors, etc.) into AIOps platform.

Skills

Data center networking
InfiniBand
RoCEv2
NCCL
Telemetry-driven ops
Runbook automation

Tools

UFM (Unified Fabric Manager)
ibdiagnet
perfquery
ibstat

Job description

Bitdeer is seeking an experienced data center networking engineer to operate InfiniBand/Fabric fabrics and RoCEv2 networks across scalable GPU clusters in its US data centers. You will convert telemetry into actionable insights to prevent congestion and topology issues, enabling high-performance AI workloads.

You will own fabric monitoring, QoS and performance tuning, and collaborate with Nvidia/Mellanox support for escalations and firmware lifecycles.

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