AI Solution Architect - Educational Content Author, Nebius Academy

Nebius; United States; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive pay

Career growth

Flexibility

Collaborative culture

Impactful AI projects

International environment

Job summary

Nebius is building a leading AI cloud platform and is seeking a Middle AI Solution Architect to craft educational content that explains Nebius cloud offerings, from VM and GPU workloads to orchestration and ML infrastructure. You will join Nebius Academy, shaping tutorials, sample code, and reference architectures while collaborating with Nebius AI Engineers and Solution Architects.

Ideal candidates have 2+ years in software/cloud roles, strong Python, PyTorch familiarity, and experience with

Qualifications

• 2+ years in software development, cloud engineering, DevOps, or similar technical role.
• Experience with cloud technologies and infrastructure.
• Experience with infrastructure-as-code, containerization, and cloud environments.

Responsibilities

• Create educational content demonstrating use of VMs, GPU clusters, k8s, SLURM, Soperator, etc.
• Develop sample code, tutorials, and reference architectures for cloud computing and ML infrastructure.
• Create video tutorials and live coding sessions showing Nebius cloud usage.
• Collaborate with academic partners to design IaC solutions and technical guides.

Skills

Cloud infrastructure

Distributed computing

Python programming

Kubernetes

Docker

GPU clustering

Written communication

Tools

Terraform

Kubernetes

SLURM

Docker

PyTorch

Job 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.

The Role

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.

Responsibilities

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

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 & Perks

• 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

Equal Opportunity Statement

Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

If you need accommodations during the application process, please let us know.