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.