Systems software engineer for GPU compute

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

Benefits offered by this job

Competitive salary 170k-300k USD +equ

Equity opportunities

International team

Career growth and learning

Job summary

Nebius Group ищет инженера по системному ПО для оптимизации производительности GPU-кластеров и InfiniBand сетей. Ваша работа будет охватывать настройку оборудования, устранение узких мест и тесное сотрудничество с командами по HPC.

Требуется экспертиза в Linux, C/C++, Go, Python, плюс опыт с QEMU/KVM, RDMA и инфраструктурой HPC. Работа в динамичной международной среде, с акцентом на инновации и ответственность.

Qualifications

• 5+ лет разработки на уровне системного ПО с упором на оптимизацию производительности
• 3+ года Linux-администрирования и тюнинга производительности
• Глубокое понимание архитектуры серверов: PCIe, NIC, ядро Linux и HPC
• Сильные навыки программирования на C/C++, Go, Python

Responsibilities

• Настройка и оптимизация производительности GPU-кластеров и InfiniBand сетей
• Анализ и устранение причин сбоев в GPU/InfiniBand окружении
• Интеграция нового аппаратного обеспечения в существующую инфраструктуру (Kubernetes, QEMU, KVM)
• Улучшение систем автоматизации для мониторинга и proactive-решения проблем
• Управление устройствами GPU и инфини bandwidth fabrics для стабильной работы

Skills

System-level development

Linux administration

High-performance computing

C/C++

Go

Python

Tools

QEMU/KVM

RDMA/InfiniBand

MPI

NCCL

PyTorch

TensorFlow

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:

• We offer competitive salaries ranging from $170k-$300k + equity based on your experience.
• 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