DevOps Engineer(GPU cluster) _BD

2 weeks ago

Shanghai, Shanghai, China Bosch Group Full time
Job Description
  • Wording in an international DevOps team, you will be responsible for the operation and development of the GPU cluster for AI Deep Learning Platform.
  • Development of additional features for the service, such as rollout new software, implementation of new cluster interfaces(e.g. restful API, load balancing)
  • Implementation of performance monitoring (e.g. dashboards)
  • Automation & Deployment (e.g. patch management, integration of new compute nodes into cluster)
  • Preparation and execution of maintenances for all clusters, e.g. for security updates, compatibility testing and rollout.
  • Resolution of user incidents via various channels, e.g. issues with GPU devices or scheduling system, user issues in cluster usage (e.g. access, compute jobs, software management.)
  • Software deployment and maintenance (e.g. new versions)
  • Sysadmin housekeeping tasks (config cleanup, etc.)
  • Build, expand, maintain knowledge base
  • 作为博世全球GPU集群DevOps团队的一员,负责作为AI深度学习平台的GPU集群的持续开发与运维
  • 在现有平台既有服务的基础上,开发新的功能模块(例如,restful API, 负载均衡等)
  • 开发平台的性能监控等功能(例如,可视化面板)
  • 自动化部署(例如,软件包管理,将新增计算节点接入到集群等)
  • 博世全球各个GPU计算集群的运维。例如,安全包更新、兼容性测试、扩容等。
  • 通过各种渠道支持用户,解决可能出现的问题。例如,GPU设备的问题、系统任务编排的问题、以及客户使用集群时可能出现的其他问题(访问、计算任务、软件管理...)。
  • 软件包的开发与运维。例如,新版本迭代。
  • 系统管理员的日常任务。例如,配置项的刷新等。
  • 建立,并持续的维护、丰富共享知识库。
Qualifications
  • Major in Computer Science, Mathematics, Engineering, or relevant technical discipline (bachelor or master)
  • 3+ Years of hands-on experience with Linux and DevOps.
  • Deep knowledge in general Linux server administration, such as Linux system management, networking, security and container technologies.
  • Python for operation automation, Kubernetes and Docker for schedule, MLflow deployment
  • Software development experience is a plus.
  • Know-How in GPU computing domain(CUDA, cuDNN, NCCL, tensorflow, pytorch, CST etc.)
  • Network and GPU Hardware basic knowhow (Network, Performance, Model)
  • Good teamwork and cooperation with global team
  • Quick learner for new data technologies
  • English(Listen/speak/read/write).
  • 计算机科学、数学、工程或相关技术专业(本科或硕士学历)
  • 3年以上在Linux, DevOps方面的实操经验
  • 熟练掌握linux服务器管理,并深入了解相关知识。例如linux系统管理,网络,安全,以及容器技术等
  • 熟悉Python自动化运维相关脚本技术,有Kubernetes and Docker 或者MLflow相关经验
  • 具备GPU计算领域相关知识将作为加分项。例如CUDA, cuDNN, NCCL, tensorflow, pytorch, CST等。
  • 有相关网络及GPU 硬件基本知识比如网络和硬件性能
  • 能与全球团队较好的进行团队合作。
  • 具备快速学习并掌握新数据技术的能力。
  • 英语(听,说,读,写)

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