Nebius
via Greenhouse
Educational Content Author - Cloud Solution Architect, Nebius Academy
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 25d ago
The date the source published, not the day we noticed it (2026-08-20). Last seen at its source just now.
Is it remote?
Remote - Europe
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Europe
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay €75k–114.4k/yr
Middle 50% of 81 listings that do state pay — Engineering · all levels · Europe · EUR/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
greenhouse employer's own board first seen 25d ago · last seen just now
The listing
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.
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 & 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.