Senior GPU HPC Systems Engineer

Nebius Group; Amsterdam; On-site; EUR 152,000 - 269,000; Full time

Benefits offered by this job

Competitive compensation

Career growth and learning

Flexible ownership

Collaborative and innovative culture

Impactful AI projects

International environment

Job summary

Nebius Group in Amsterdam is seeking a Senior Software Systems Engineer to advance our hyperscaler platform, focusing on GPU computing, InfiniBand networks, and the KVM/QEMU stack. You will work with hardware virtualization and device emulation to ensure high performance and secure multi-GPU HPC environments.

Responsibilities include tuning GPU clusters, diagnosing root causes, integrating new hardware, and enhancing automation for proactive monitoring and fault detection.

Qualifications

• 5+ years of system-level software development focused on performance optimization.
• 3+ years of hands-on Linux administration and performance tuning.
• Deep understanding of server architecture and HPC systems.
• Proficient in C/C++, Go, Python or similar.
• Experience with GPU and InfiniBand technologies is a plus.
• Familiarity with QEMU/KVM virtualization and SDN is beneficial.

Responsibilities

• Tune the performance of GPU clusters and InfiniBand networks.
• Analyze and troubleshoot GPUs and InfiniBand issues and propose fixes.
• Integrate new hardware into the infrastructure including GPU support.
• Enhance automation systems for monitoring and fault resolution.
• Configure and manage GPU devices and InfiniBand fabrics.

Skills

System-level software development

Linux systems

PCIe devices and HPC

C/C++, Go, Python

Tools

Kubernetes

QEMU

KVM

InfiniBand

PyTorch

TensorFlow

MPI

NCCL

Job description

Nebius Group in Amsterdam is seeking a Senior Software Systems Engineer to advance our hyperscaler platform, focusing on GPU computing, InfiniBand networks, and the KVM/QEMU stack. You will work with hardware virtualization and device emulation to ensure high performance and secure multi-GPU HPC environments.

Responsibilities include tuning GPU clusters, diagnosing root causes, integrating new hardware, and enhancing automation for proactive monitoring and fault detection.