about 2 hours ago
Remote, WorldwideMid Level
Responsibilities
- Create technical content demonstrating effective use of computing workloads with VMs, GPU clusters, and Kubernetes.
- 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.
- Collaborate with academic partners to understand their requirements and develop aligned solution architectures.
- Act as a trusted advisor to academic partners, providing technical expertise on GPU cloud technologies.
Requirements
- Strong understanding of cloud infrastructure and distributed computing principles.
- Experience with virtual machines, containerization, and managing compute resources.
- Experience building with Infrastructure as Code 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.
- Strong programming skills, particularly in Python, and familiarity with the PyTorch ecosystem.
- 2+ years of experience in software development, cloud engineering, DevOps, or a similar technical role.
Benefits
- 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.