
AI Solution Architect – Educational Content Author
Posted 1 hour ago

Posted 1 hour ago
This is a fully remote position, open to applicants in Europe.
• Develop technical content that illustrates the effective use of computing workloads utilizing VMs, GPU clusters, k8s, SLURM, Soperator, and more.
• Produce sample code, tutorials, and reference architectures that highlight best practices for cloud computing and machine learning infrastructure.
• Create video tutorials and conduct live coding sessions that showcase the effective use of Nebius cloud infrastructure.
• Work in partnership with academic institutions (such as Stevens and MIT) to comprehend their requirements and design solution architectures that meet their needs: create and document Infrastructure as Code solutions, technical documentation, and how-to guides in conjunction with the Nebius Solutions Architect Team.
• Serve as a trusted advisor to our academic partners, offering technical expertise on GPU cloud technologies and best practices.
• In-depth understanding of cloud infrastructure and the principles of distributed computing.
• Experience with virtual machines, containerization, and the management of compute resources.
• Proficient in building Infrastructure as Code solutions, preferably using Terraform.
• Knowledgeable about GPU clusters and strategies for optimizing machine learning workloads.
• Familiarity with container orchestration systems such as Kubernetes and job schedulers like SLURM.
• Understanding of infrastructure components, including networking, storage optimization, and resource management.
• Proven experience in optimizing the performance of diverse workloads within cloud environments.
• Strong programming abilities, especially in Python, along with familiarity with the PyTorch ecosystem.
• Comprehension of cloud infrastructure concepts and deployment methodologies.
• Excellent written communication skills with the capacity to articulate technical ideas clearly in writing.
• A minimum of 2 years of experience in software development, cloud engineering, DevOps, or a comparable technical position.
• Demonstrated experience with cloud technologies and infrastructure.
• Prior experience with infrastructure-as-code, containerization, and cloud environments.
• Competitive compensation.
• Opportunities for career growth and learning.
• Flexibility and ownership of work.
• A collaborative and innovative culture.
• The chance to work on impactful AI projects.
• An international environment with talented teams.
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