AI Solution Architect – Educational Content Author

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 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

Qualifications

• 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