1 месяц назад
Educational Content Author - Cloud Solution Architect, Nebius Academy (AI Cloud)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Educational Content Author - Cloud Solution Architect, Nebius Academy (AI Cloud): Creating educational content, sample code, tutorials, reference architectures, and video demonstrations for Nebius cloud infrastructure and Token Factory with an accent on GPU clusters, Kubernetes, SLURM, infrastructure as code, and ML workloads. Focus on designing cloud solutions for academic partners, documenting Terraform-based infrastructure, optimizing distributed computing workloads, and clearly communicating complex technical concepts.
Location: Remote - Europe
Company
Nebius builds a full-stack AI cloud platform for data and model training, production deployment, GPU orchestration, inference optimization, compute, storage, networking, and applied AI.
What you will do
- Create technical content demonstrating workloads with virtual machines, GPU clusters, Kubernetes, SLURM, and Soperator.
- Develop sample code, tutorials, reference architectures, documentation, and technical how-to guides for cloud computing and ML infrastructure.
- Create video tutorials and lead live coding sessions focused on effective use of Nebius cloud infrastructure.
- Collaborate with academic partners, including universities, to understand requirements and design suitable cloud solutions.
- Design and document Infrastructure as Code solutions with the Nebius Solutions Architect Team.
- Advise academic partners on GPU cloud technologies, infrastructure patterns, and best practices.
Requirements
- Strong understanding of cloud infrastructure, distributed computing, virtual machines, containerization, and compute resource management.
- Experience with Infrastructure as Code, preferably Terraform, and previous work in cloud engineering, software development, DevOps, or a similar technical role.
- Knowledge of GPU clusters, ML workload optimization, networking, storage optimization, and resource management.
- Working knowledge of Kubernetes and SLURM, plus strong Python programming skills and familiarity with the PyTorch ecosystem.
- At least 2 years of relevant technical experience and demonstrated experience with cloud technologies and infrastructure.
- Excellent written communication skills with the ability to explain technical concepts clearly.
Nice to have
- Experience with MLflow, Apache Airflow, or Kubeflow.
- Familiarity with AWS, GCP, Azure ML, or NVIDIA NGC.
- Experience managing hybrid cloud or on-premises GPU infrastructure.
- Experience working with technology partners and integrating third-party solutions.
- Public presentation skills.
Culture & Benefits
- Competitive compensation.
- Career growth and learning opportunities.
- Flexibility and ownership.
- Collaborative, innovative, and international environment.
- Opportunity to work on impactful AI projects.
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