AI Solution Architect - Educational Content Author (AI Cloud)

TL;DR

AI Solution Architect - Educational Content Author (AI Cloud Infrastructure): Creating technical educational content and reference architectures to drive adoption of a high-performance AI cloud platform with an accent on GPU orchestration, ML infrastructure, and developer enablement. Focus on developing tutorials, sample code, and collaborating with academic partners to design scalable cloud solutions for ML workloads.

Location: Remote (Europe). Applicants must be authorized to work in the country in which they apply.

Company

Nebius is building a full-stack AI cloud platform that supports developers and enterprises with large-scale GPU orchestration and inference optimization.

What you will do

• Create technical content demonstrating the use of computing workloads with VMs, GPU clusters, Kubernetes, SLURM, and Soperator.
• Develop sample code, tutorials, and reference architectures showcasing best practices for cloud computing and ML infrastructure.
• Produce video tutorials and live coding sessions to demonstrate the effective use of Nebius cloud infrastructure.
• Collaborate with academic partners, such as MIT and Stevens, to design and document Infrastructure as Code (IaC) solutions.
• Act as a technical advisor to partners, providing expertise on GPU cloud technologies and best practices.

Requirements

• 2+ years of experience in software development, cloud engineering, DevOps, or a similar technical role.
• Strong understanding of cloud infrastructure, distributed computing principles, and containerization.
• Proficiency in Python and familiarity with the PyTorch ecosystem.
• Experience building with IaC solutions, preferably Terraform.
• Knowledge of GPU clusters, Kubernetes, and job schedulers like SLURM for optimizing ML workloads.
• Excellent written English communication skills to clearly express complex technical ideas.

Nice to 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 in integrating third-party solutions and public presentation skills.

Culture & Benefits

• Competitive compensation and opportunities for career growth.
• Flexibility and ownership within a collaborative and innovative culture.
• International environment working alongside talented AI engineers.
• Opportunity to shape the future of AI by working on impactful large-scale projects.