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Senior Infrastructure Engineer (GPU Platform) at Launch & Scale – Europe | Jobyssey

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Senior Infrastructure Engineer (GPU Platform)

Senior Infrastructure Engineer (GPU Platform)

Launch & Scale · Europe · 1 month ago

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Work mode: Remote
Seniority: Senior
Category: Devops

ai automation cloud cuda deepspeed distributed-training hpc kubernetes linux networking observability pytorch

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Build and maintain multi-node GPU training infrastructure using Linux, containers, CUDA, and Kubernetes/Slurm, focusing on networking, storage, and observability for AI workloads.

On behalf of our client, we are looking for a Senior Infrastructure Engineer (GPU Platform)

Requirements:

Production experience with multi-node GPU training infrastructure
Strong Linux, containers, CUDA, and NVIDIA GPU stack knowledge
Hands-on experience with NCCL and InfiniBand or RoCE/RDMA troubleshooting
Deep experience with Kubernetes or Slurm
Experience with infrastructure automation and observability
Experience diagnosing issues across training workloads, networking, storage, and GPU hosts
Strong incident leadership and provider-facing communication skills
English – Upper-Intermediate or higher

Would be a plus:

Experience in an AI lab, HPC environment, or specialist GPU cloud
PyTorch, Megatron, DeepSpeed, or other distributed-training frameworks
Experience with parallel storage and checkpoint optimization
Experience working with multi-provider GPU platforms

Company offers:

Long-term employment with possibilities for professional growth
Fully remote work
Reasonably flexible schedule
15 days of paid vacation
Regular performance reviews

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