教育内容作者 - 云解决方案架构师，Nebius学院
Educational Content Author - Cloud Solution Architect, Nebius Academy
关于Nebius：
Nebius正在引领全球AI经济的云基础设施新时代。我们正在构建一个全栈AI云平台，支持开发者和企业从数据和模型训练到生产部署，而无需承担构建大型内部AI/ML基础设施的成本和复杂性。
由工程师打造，为工程师而生。从大规模GPU编排到推理优化，我们在计算、存储、网络和应用AI领域掌握着最困难的问题。
在纳斯达克上市（NBIS），总部位于阿姆斯特丹，我们在欧洲、英国、北美和以色列设有研发中心，拥有全球业务覆盖。我们的团队超过1500人，包括数百名在硬件、软件和AI研发方面具有深厚专业知识的工程师。
职位描述
Nebius正在寻找一名中级AI解决方案架构师，通过创建教育内容来推动我们高性能云基础设施的采用。你将加入Nebius学院团队，使命是帮助开发者成功使用Nebius的云产品。在这个职位上，你将专注于传达技术能力，并展示Nebius产品之间的差异：云基础设施服务和Token Factory。
这个独特的职位结合了AI解决方案架构师和教育内容作者的一些职责，使你能够在解决方案架构师和/或开发者倡导者的不同方向上发展技能，同时与一支优秀的Nebius AI工程师和解决方案架构师团队合作。
你的职责包括：
- 教育内容创作
- 创建展示如何有效使用VM、GPU集群、k8s、SLURM、Soperator等计算工作负载的技术内容
- 开发示例代码、教程和参考架构，展示云计算和ML基础设施的最佳实践
- 制作视频教程和现场编码演示，展示Nebius云基础设施的有效使用
- 协助学院合作伙伴构建云解决方案
- 与学术合作伙伴（如斯蒂文斯大学、MIT）合作，了解他们的需求并开发符合其需求的解决方案架构：与Nebius解决方案架构师团队协作设计和文档化基础设施即代码解决方案、文档和技术指南
- 作为我们学术合作伙伴的可信赖顾问，提供关于GPU云技术和最佳实践的技术专业知识
我们期望你具备：
查看英文原文
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.
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.