AI Cluster Network Engineer for GPU-Accelerated HPC
Raydian Cloud
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Job summary
Raydian Cloud in Kuala Lumpur is seeking an AI Cluster Network Engineer to design, deploy, and optimize high-performance networks for AI/GPU computing and GPUaaS environments. You will work with NVIDIA Spectrum-X, InfiniBand, RoCEv2, and related technologies to deliver multi-tenant, secure, and scalable cluster networks.
The role focuses on RDMA tuning, NCCL traffic patterns, automation, observability, and production support across the Asia-Pacific region.
Qualifications
- Bachelor-level degree in CS/IT/Electronics/Telecommunications or related field.
- Minimum 5 years in large-scale data center networks, deployment and troubleshooting.
- Minimum 3 years with InfiniBand, RoCEv2, and RDMA technologies.
- Experience supporting AI/GPU clusters, HPC, or large distributed systems.
Responsibilities
- Design and deploy AI cluster networks using NVIDIA Spectrum-X and InfiniBand.
- Build leaf-spine, multi-tenant GPUaaS networks with proper segmentation.
- Tune and optimize RDMA, NCCL traffic, congestion control and QoS.
- Troubleshoot switches, NICs, DPUs, and Linux networking stack.
- Collaborate with compute/storage teams; perform performance validation.
- Develop automation, monitoring, runbooks, and incident response workflows.
- Provide POCs, benchmarks, and support production deployments in APAC.
Skills
Education
Tools
Job description
Raydian Cloud in Kuala Lumpur is seeking an AI Cluster Network Engineer to design, deploy, and optimize high-performance networks for AI/GPU computing and GPUaaS environments. You will work with NVIDIA Spectrum-X, InfiniBand, RoCEv2, and related technologies to deliver multi-tenant, secure, and scalable cluster networks.
The role focuses on RDMA tuning, NCCL traffic patterns, automation, observability, and production support across the Asia-Pacific region.
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