Educational Content Author - Cloud Solution Architect, Nebius Academy

Description

About Nebius:

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

Responsibilities

• Nebius is seeking a Middle AI Solution Architect to drive adoption of our high-performance cloud infrastructure by creating educational content . You’ll join our Nebius Academy team with a mission to help developers succeed with Nebius’ cloud offerings. In this role, you’ll focus on communicating technical capabilities and showcasing differences across Nebius products: cloud infrastructure services and Token Factory.
• This unique role combines some responsibilities of an AI Solution Architect and an Educational Content Author, allowing you to develop skills and grow in different directions as a Solution Architect and/or Developer Advocate while working together with an amazing team of Nebius AI Engineers and Solution Architects.
• Your responsibilities will include:
• Educational content creation
• 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
• Helping Academy's partners build cloud solutions
• 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
• We expect you to have:
• Technical knowledge and skills
• 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
• Practical experience
• 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
• It will be an added bonus if you have
• Experience with MLflow, Apache Airflow, or Kubeflow
• Familiarity with cloud ML platforms like AWS, GCP, Azure ML, or NVIDIA NGC
• Experience managing hybrid cloud or on-prem GPU infrastructure
• Background working with technology partners and integrating third-party solutions
• Public presentation skills

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
• What's it like to work at Nebius:
• Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI