Senior HPC GPU Cluster Engineer

Nebius Group; Madrid; Presencial; EUR 80.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation

Career growth

Flexible work

Collaborative culture

Impactful AI projects

International environment

Descripción de la vacante

Nebius is hiring a Senior HPC Cluster Engineer to advance our hyperscaler platform. You will optimize GPU clusters, work with InfiniBand networks, and collaborate on virtualization stacks like QEMU/KVM and Kubernetes to push performance and reliability at scale.

The role focuses on analyzing, troubleshooting, and automating fault detection in multi-GPU HPC environments, with close collaboration across hardware and software teams.

Formación

• 5+ years of professional experience in system-level software development, focused on performance optimization.
• 3+ years of hands-on experience with Linux systems (administration, troubleshooting, and performance tuning).
• In-depth understanding of server architecture, including PCIe devices, NICs, Linux OS/Kernel, and HPC systems.
• Strong proficiency in performance-oriented programming languages (C/C++, Go, Python).

Responsabilidades

• Tune the performance of GPU clusters and InfiniBand networks for HPC and GPU-based environments.
• Analyze and troubleshoot root causes of issues related to GPUs and InfiniBand networks; propose corrective actions.
• Integrate new hardware into the existing infrastructure, including support for new GPU hardware via software stacks like Kubernetes, QEMU, and KVM.
• Enhance automation systems for proactive monitoring, detecting, and resolving issues in GPU/InfiniBand environments.
• Configure and manage GPU devices and InfiniBand fabrics for efficient, reliable operation.

Conocimientos

System-level dev

Linux systems

Server architecture

C/C++

Go

Python

MPI

NCCL

RDMA/InfiniBand

Herramientas

KVM

QEMU

Kubernetes

Descripción del empleo

Nebius is hiring a Senior HPC Cluster Engineer to advance our hyperscaler platform. You will optimize GPU clusters, work with InfiniBand networks, and collaborate on virtualization stacks like QEMU/KVM and Kubernetes to push performance and reliability at scale.

The role focuses on analyzing, troubleshooting, and automating fault detection in multi-GPU HPC environments, with close collaboration across hardware and software teams.