Nebius is at the forefront of cloud infrastructure for the global AI economy, building a comprehensive AI cloud platform that simplifies the development and deployment of AI/ML solutions. Headquartered in Amsterdam and listed on Nasdaq (NBIS), we have a global presence with over 1,500 team members, including a robust engineering workforce specializing in hardware, software, and AI R&D.

The Role

Nebius is looking for a Middle AI Solution Architect to join our Nebius Academy team. Your primary focus will be on creating educational content that helps developers leverage our cloud offerings effectively. You will communicate the technical capabilities of Nebius products, including cloud infrastructure services and Token Factory, while collaborating with a talented team of AI Engineers and Solution Architects.

Responsibilities

• Create technical content demonstrating effective use of 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.
• Produce video tutorials and live coding sessions that illustrate the use of Nebius cloud infrastructure.
• Collaborate with academic partners (e.g., Stevens, MIT) to design and document Infrastructure as Code solutions, ensuring alignment with their requirements.
• Act as a trusted advisor, 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.
• Familiarity with IaC solutions, preferably Terraform.
• Knowledge of GPU clusters and ML workload optimization techniques.
• Practical experience with container orchestration systems like Kubernetes and job schedulers like SLURM.
• Proficient programming skills in Python and familiarity with the PyTorch ecosystem.
• Excellent written communication skills to convey technical ideas clearly.
• 2+ years of experience in software development, cloud engineering, DevOps, or a similar role.

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.
• Public presentation skills.

What We Offer

• Competitive compensation.
• Career growth and learning opportunities.
• Flexibility and ownership in your role.
• Collaborative and innovative culture.
• Opportunity to work on impactful AI projects in an international environment with talented teams.

Working at Nebius means being part of a fast-moving, bold-thinking organization focused on meaningful impact and real ownership. If you're ready to shape the future of AI, we want to hear from you.