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Nebius

Runs GPU clouds for AI training and deployment

Senior HPC Cluster Engineer - GPU Compute

Network Engineering & AdministrationConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 5 years of professional experience in system-level software development focused on performance optimization and low-level programming.
  • At least 3 years of hands-on experience with Linux systems, including administration, troubleshooting, and performance tuning.
  • In-depth understanding of server architecture, including PCIe devices, network interface cards, Linux operating systems and kernels, and high-performance computing systems.
  • Strong proficiency in one or more performance-oriented programming languages: C, C++, Go, or Python.

Responsibilities

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

Desired Qualifications

  • Experience with GPU end-to-end testing in a cluster environment using InfiniBand networking.
  • A proven track record of analyzing and optimizing the performance of high-performance computing workloads, such as simulations, data analysis, and AI/ML workloads.
  • Familiarity with Remote Direct Memory Access, RoCE, and InfiniBand protocols for high-performance communication.
  • Background in Software-Defined Networking and experience with high-performance computing cluster networking.
  • Understanding of QEMU/KVM virtualization and managing virtualized environments.
  • Experience with deep learning frameworks such as PyTorch and TensorFlow, and their integration with high-performance computing systems.
  • Familiarity with collective communication libraries such as MPI and NCCL for distributed computing.

About the Company

Nebius

Runs GPU clouds for AI training and deployment

Nebius runs an AI cloud for developers, researchers, and enterprises that train models and put them into production. Its AI Cloud combines GPU computing, storage, networking, and managed services, while Token Factory runs models through an API so teams do not manage the underlying servers. Customers rent computing and storage at usage rates or reserve capacity, choosing resources that fit short experiments or sustained production workloads. Beyond the cloud, the group owns Avride, which develops autonomous vehicles and delivery robots, and TripleTen, which teaches technical skills for people changing careers. The publicly listed group is headquartered in Amsterdam, Netherlands.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Amsterdam, Netherlands
Founded
1997

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