AI Solution Architect – Educational Content Author

Job not on LinkedIn

🕒 July 8

🇪🇺 Europe – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

💻 Solutions Engineer

👻 Ghost score 30%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Nebius Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.

📋 Description

• 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 that align with their needs: design and document Infrastructure as Code solutions, documentation, and technical how-to guides in collaboration with the Nebius Solutions Architect Team • Act as a trusted advisor to our 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 • Experience optimizing performance of diverse workloads in cloud environments • Strong programming skills, particularly in Python, and familiarity with the PyTorch ecosystem • Understanding of cloud infrastructure concepts and deployment patterns • Excellent written communication skills and ability to clearly express technical ideas in text • 2+ years of experience in software development, cloud engineering, DevOps, or a similar technical role • Demonstrated experience with cloud technologies and infrastructure • Previous work with infrastructure-as-code, containerization, and cloud environments

🏖️ Benefits

• 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