DevOps Engineer(GPU cluster) _BD
2 weeks ago
About the Company: Join an international DevOps team at a leading tech company specializing in AI Deep Learning Platforms. As a GPU Cluster DevOps Engineer, you will play a key role in the operation and development of cutting-edge technology.
Job Description:
- Work in an international DevOps team responsible for GPU cluster operation and development for AI Deep Learning Platforms.
- Develop additional service features, implement new software, and new cluster interfaces (restful API, load balancing).
- Implement performance monitoring with dashboards.
- Handle automation and deployment tasks such as patch management and integrating new compute nodes into the cluster.
- Prepare and execute maintenance tasks for all clusters including security updates and compatibility testing.
- Resolve user incidents related to GPU devices, scheduling system, and cluster usage.
- Deploy and maintain software, including new versions.
- Perform sysadmin housekeeping tasks like config cleanup.
- Contribute to building and maintaining a knowledge base.
Qualifications:
- Major in Computer Science, Mathematics, Engineering, or a relevant technical discipline (bachelor or master's degree).
- 3+ years of hands-on experience in Linux and DevOps.
- Deep knowledge in Linux server administration, networking, security, and container technologies.
- Experience with Python for operation automation, Kubernetes, Docker, and MLflow deployment.
- Software development experience is a plus.
- Specialized knowledge in GPU computing domain (CUDA, cuDNN, NCCL, TensorFlow, PyTorch, CST, etc.).
- Understanding of network and GPU hardware basics (Network, Performance, Model).
- Strong teamwork and cooperation skills with a global team.
- Ability to quickly learn new data technologies.
- Proficiency in English (listening, speaking, reading, writing).
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