- Страна
- США
- Зарплата
- 150 000 $ – 180 000 $
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GPU Cluster Architect
Отличное предложение от публичной компании (Nasdaq) с конкурентной зарплатой, бонусами и исключительным пакетом льгот (100% страховка, 401k, длительный декрет). Работа на острие технологий ИИ в глобальной команде.
Сложность вакансии
Роль требует исключительной экспертизы в проектировании GPU-кластеров, знании HPC-интерконнектов (InfiniBand, RoCE) и понимании специфики обучения LLM. Высокий уровень ответственности за архитектуру систем из десятков тысяч GPU делает эту позицию крайне сложной.
Анализ зарплаты
Предлагаемая базовая зарплата ($150k-$180k) находится в пределах рыночной нормы для Senior/Staff ролей в США, однако для позиции Architect такого уровня в топовых AI-компаниях (NVIDIA, Meta) рынок может быть выше. Тем не менее, квартальные бонусы и пакет льгот делают предложение очень конкурентоспособным.
Сопроводительное письмо
I am writing to express my strong interest in the GPU Cluster Architect position at Nebius. With over five years of experience in designing high-performance computing clusters and a deep technical background in NVIDIA GPU architectures and InfiniBand interconnects, I am confident in my ability to contribute to your mission of building next-generation AI cloud infrastructure.
In my previous roles, I have successfully architected scalable topologies and optimized AI/ML workloads for large-scale deployments. I am particularly impressed by Nebius's commitment to serving the global AI economy and your recent growth as a Nasdaq-listed leader. My expertise in performance modeling and low-latency networking aligns perfectly with your requirements for defining how tens of thousands of GPUs are interconnected and optimized.
I am excited about the opportunity to work alongside some of the most innovative engineers in the field and to help Nebius scale its platforms to meet the demands of modern LLM training and inference. Thank you for considering my application.
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Описание вакансии
Why work at NebiusNebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we workHeadquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
The role
We are seeking a GPU Cluster Architect to drive the design of our next-generation AI infrastructure. In this high-impact, hands-on role, you will make end-to-end architectural decisions across compute, networking, and storage — ensuring our platforms can meet the massive scale, performance, and reliability requirements of modern AI workloads.
This is a high-impact, hands-on architecture role where you’ll define how tens of thousands of GPUs are interconnected, cooled down, powered, and optimized across multiple data center sites.
You are welcome to work remotely from the USA.
Your responsibilities will include:
- Cluster Design: Architect scalable GPU cluster topologies including compute nodes, interconnect (InfiniBand, Ethernet), storage, and control planes.
- Performance Modeling: Analyze AI/ML workloads (e.g. LLM training, inference) to inform design tradeoffs across latency, bandwidth, and GPU density.
- Network Architecture: Align with network architect relevant design and validate low-latency, high-throughput interconnects (e.g., InfiniBand HDR/NDR, RoCEv2) at POD and DC scale.
- Storage Integration: Work with storage teams to optimize performance for training datasets, checkpointing, and others.
- Reliability & Monitoring: Understand and analyze signal from monitoring systems to the detect flows in design
- Collaboration: Partner with site reliability, networking, storage, and DC engineering teams to operationalize and scale your architecture.
We expect you to have:
- 5+ years of experience designing clusters.
- Deep understanding of modern GPU architecture (NVIDIA, AMD, etc.).
- Experience with HPC interconnects (InfiniBand & RoCE).
- Solid background in systems architecture, networking, and hardware reliability.
- Experience in scripting for automation and telemetry pipelines (Python, Go, etc.)
Key employee benefits in the US:
- Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
- 401(k) plan:Up to 4% company match with immediate vesting.
- Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
- Remote work reimbursement: Up to $85/month for mobile and internet.
- Disability & life insurance: Company-paid short-term, long-term and life insurance coverage.
Compensation
We offer competitive salaries, ranging from $150k- $180k base + quarterly performance bonuses.
What we offer
- Competitive salary and comprehensive benefits package.
- Opportunities for professional growth within Nebius.
- Hybrid working arrangements.
- A dynamic and collaborative work environment that values initiative and innovation.
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
What we offer
- Competitive salary and comprehensive benefits package.
- Opportunities for professional growth within Nebius.
- Flexible working arrangements.
- A dynamic and collaborative work environment that values initiative and innovation.
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
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Навыки
- GPU Architecture
- Infiniband
- RoCE
- Python
- Go
- HPC
- Network Architecture
- System Architecture
- NVIDIA
- AMD
- Telemetric Pipelines
Возможные вопросы на собеседовании
Проверка понимания специфики сетевых технологий для ИИ-нагрузок.
В чем заключаются основные различия при проектировании сети на базе InfiniBand NDR и RoCEv2 для кластера из 10 000+ GPU?
Оценка навыков оптимизации производительности.
Как бы вы подошли к моделированию производительности для обучения LLM, чтобы сбалансировать пропускную способность памяти и задержки сети?
Проверка опыта работы с аппаратными сбоями на больших масштабах.
Опишите ваш подход к обеспечению надежности и мониторингу состояния GPU в условиях высокой интенсивности чекпоинтов (checkpointing).
Оценка архитектурного мышления в контексте инфраструктуры ЦОД.
Какие ограничения по электропитанию и охлаждению вы учитываете при выборе топологии GPU-кластера?
Проверка навыков интеграции систем хранения данных.
Как оптимизировать архитектуру хранения данных для минимизации простоев GPU во время фазы загрузки данных при обучении моделей?
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- Страна
- США
- Зарплата
- 150 000 $ – 180 000 $