HPC engineer in GPU computing

Nebius; Netherlands; On-site; EUR 100,000 - 150,000; Full time

Job summary

Nebius Group разрабатывает масштабную облачную инфраструктуру AI и ищет инженера системного ПО с упором на производительность. Вы будете работать над оптимизацией GPU-кластеров и сетей InfiniBand, внедрять новые аппараты и поддерживать высокопроизводительную среду для разработчиков и предприятий.

Требуется глубокое знание Linux, C/C++, Go или Python, опыт в HPC и умение решать сложные задачи в распределённых средах.

Qualifications

• 5+ лет опыта разработки системного ПО с упором на оптимизацию производительности.
• 3+ лет работы с Linux-системами (администрирование, устранение неполадок, настройка производительности).
• Глубокое понимание архитектуры серверов, PCIe, NICs, Linux kernel и HPC.
• Высокая компетентность в одном или нескольких языках для производительности: C/C++, Go, Python.

Responsibilities

• Настройка и оптимизация производительности GPU-кластеров и сетей InfiniBand.
• Диагностика корневых причин проблем с GPU и InfiniBand и предложение исправлений.
• Интеграция нового оборудования в существующую инфраструктуру через стеки вроде Kubernetes, QEMU, KVM.
• Улучшение систем автоматизации для мониторинга и обнаружения проблем в средах GPU/InfiniBand.
• Конфигурация и управление GPU-устройствами и InfiniBand сетями для стабильной работы.

Job description

Описание

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Задачи

• Tuning the performance of GPU clusters and InfiniBand networks to ensure optimal operation in HPC and GPU-based environments.
• Analyzing and troubleshooting the root cause of issues related to GPUs and InfiniBand networks, and proposing corrective actions.
• Integrating new hardware into the existing infrastructure, including support for new GPU hardware through software stacks like Kubernetes, QEMU, and KVM.
• Enhancing automation systems for proactive monitoring, detecting, and resolving issues in GPU and InfiniBand environments.
• Configuring and managing GPU devices and InfiniBand fabrics, ensuring efficient and reliable operation.

Требования

• 5+ years of professional experience in system-level software development (focused on performance optimization, low-level programming).
• 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 high-performance computing (HPC) systems.
• Strong proficiency in one or more performance-oriented programming languages (C/C++, Go, Python).

Будет плюсом

• Experience with GPU end-to-end testing in a cluster environment using InfiniBand networking.
• Proven track record of analyzing and optimizing the performance of HPC workloads (e.g., simulations, data analysis, AI/ML workloads).
• Familiarity with RDMA, RoCE, and InfiniBand protocols for high-performance communication.
• Background in Software-Defined Networking (SDN) and experience with HPC 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 HPC systems.
• Familiarity with collective communication libraries like MPI and NCCL for distributed computing.

Условия

• 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
• Fast moving
• Bold thinking
• Constant growth
• Meaningful impact
• Trust and real ownership
• Opportunity to shape the future of AI