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GPU Cluster Architect

Nebius· Product & Infrastructure
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Hybrid (India), Hybrid (Singapore)Posted 2mo ago

About the role

GPU Cluster Architect at Nebius to design and scale next-generation AI infrastructure, spanning compute, networking, and storage across multiple data center sites with a hands-on, high-impact architectural focus.

Responsibilities

  • Cluster Design: Architect scalable GPU cluster topologies including compute nodes, interconnect (InfiniBand, Ethernet), storage, and control planes.
  • Performance Modeling: Analyze AI/ML workloads (e.g. LLM training, inference) to inform design tradeoffs across latency, bandwidth, and GPU density.
  • Network Architecture: Align with network architect relevant design and validate low-latency, high-throughput interconnects (e.g., InfiniBand HDR/NDR, RoCEv2) at POD and DC scale.
  • Storage Integration: Work with storage teams to optimize performance for training datasets, checkpointing, and others.
  • Reliability & Monitoring: Understand and analyze signal from monitoring systems to the detect flows in design
  • Collaboration: Partner with site reliability, networking, storage, and DC engineering teams to operationalize and scale your architecture.

Qualifications

  • 5+ years of experience designing clusters.
  • Deep understanding of modern GPU architecture (NVIDIA, AMD, etc.).
  • Experience with HPC interconnects (InfiniBand & RoCE).
  • Solid background in systems architecture, networking, and hardware reliability.
  • Experience in scripting for automation and telemetry pipelines (Python, Go, etc.)

Skills

Required:Cluster designGPU architectureHPC interconnectsSystems architectureScripting for automation

Benefits

  • Competitive compensation
  • Career growth and learning opportunities
  • Flexibility and ownership
  • Collaborative and innovative culture
  • Opportunity to work on impactful AI projects
  • International environment and talented teams
Last updated Aug 5, 2026. Interested? Apply on the company site.
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