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System Engineer (Compute Node)

Nebius· System Engineers
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Hybrid (Amsterdam, Netherlands; Remote - Europe)Full-timePosted 7mo ago

About the role

Compute Node team builds services for managing Virtual Machines on GPU servers, integrating with disk management, virtual and InfiniBand networks, and developing the Virtual Machine Scheduler that operates across clusters and data centers.

Responsibilities

  • Build services for managing Virtual Machines running on GPU servers
  • Integrate with disk management, virtual networks, and InfiniBand networks
  • Develop the Virtual Machine Scheduler that operates across clusters with thousands of servers and tens of thousands of GPUs across multiple data centers in several regions
  • Participate in coding interviews as part of the process
  • Contribute to containerization, virtualization, Linux system-level work, hardware acceleration, and Go/C++ development as part of the Compute Node team

Qualifications

  • Experience with Kubernetes for deployment and development is highly valued
  • Familiarity with KubeVirt and QEMU/KVM is a high plus
  • Solid knowledge of internal OS architecture, performance considerations, process isolation and resource management
  • Knowledge of POSIX, sysfs, system calls, and file systems
  • Familiarity with server architecture, PCIe devices, NICs, and kernel drivers
  • Experience or strong interest in GPUs, DPUs, or ARM architectures is desirable
  • Familiarity with NVIDIA DOCA Software Framework is an advantage
  • Proficiency in Go or C++, with willingness to learn the other as needed
  • Strong grasp of concurrency, debugging, and profiling techniques

Skills

Required:Containerization & OrchestrationLinux & System-level UnderstandingGo, C++ Proficiency
Nice to have:VirtualizationHardware Acceleration

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 12, 2026. Interested? Apply on the company site.
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Discover the most efficient way to build, tune and run your AI models and applications on top-notch NVIDIA® GPUs.

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