HPC cluster engineer

Nebius; United States; Remote; USD 120,000 - 200,000; Full time

Benefits offered by this job

Конкурентная оплата

Карьерный рост

Гибкость работы

Международная команда

Job summary

Nebius Group ищет опытного системного разработчика для оптимизации производительности GPU‑кластеров и InfiniBand сетей в рамках HPC и AI инфраструктуры. Вы будете работать с низкоуровневым кодом, Linux и мониторингом.

Задачи: устранение узких мест, внедрение новых аппаратных решений и интеграция с Kubernetes, QEMU/KVM. Требуется 5+ лет опыта, знание C/C++, Go или Python, опыт Linux‑настроек. Работа в международной команде и конкурентная оплата.

Qualifications

• 5+ лет разработки системного ПО, ориентированного на производительность.

Responsibilities

• Оптимизация производительности GPU-кластеров и InfiniBand сетей в рамках HPC/AI инфраструктуры.

Skills

Системная разработка

Linux опыт

C/C++

GPU HPC

Tools

QEMU/KVM

Kubernetes

NCCL

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