← Все вакансии/Middle/Nebius
MiddleRemoteRemote - Europe

AI Solution Architect

N
Nebius
Уровень
Middle
Формат
Remote
О роли

Описание вакансии

About the company

Nebius is building a full-stack AI cloud platform for the global AI economy. We own the hard problems across compute, storage, networking, and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, with R&D hubs across Europe, the UK, North America, and Israel.

Responsibilities
  • Create technical content demonstrating how to effectively use computing workloads with VMs, GPU clusters, k8s, SLURM, Soperator, etc.
  • Develop sample code, tutorials, and reference architectures showcasing best practices for cloud computing and ML infrastructure.
  • Create video tutorials and live coding sessions demonstrating effective use of Nebius cloud infrastructure.
  • Collaborate with academic partners (universities, e.g., Stevens, MIT) to understand their requirements and develop solution architectures.
  • Act as a trusted advisor to academic partners, providing technical expertise on GPU cloud technologies and best practices.
Requirements
  • Strong understanding of cloud infrastructure and distributed computing principles.
  • Experience with virtual machines, containerization, and managing compute resources.
  • Experience building with IaC solutions, preferably Terraform.
  • Knowledge of GPU clusters and techniques for optimizing ML workloads.
  • Working knowledge of container orchestration systems like Kubernetes and job schedulers like SLURM.
  • Familiarity with infrastructure components including networking, storage optimization, and resource management.
  • Strong programming skills, particularly in Python, and familiarity with the PyTorch ecosystem.
  • Excellent written communication skills.
  • 2+ years of experience in software development, cloud engineering, DevOps, or similar.
  • Demonstrated experience with cloud technologies and infrastructure.
  • Previous work with infrastructure-as-code, containerization, and cloud environments.
Conditions
  • 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.
Стек и навыки

С чем работаем