
AI Infrastructure Management Specialist
6 days ago
High-performance computing specialist required to design and manage AI infrastructure.
Key Responsibilities- Assess and deploy AI infrastructure requirements, including CPU, GPU, middleware, and orchestration tools.
- Configure and manage PFS/NFS, library and compiler installation, and monitoring tools for AI clusters.
- Deploy and troubleshoot InfiniBand/ROCE switches/UFM/NETQ/tools, Nvidia GPU management, and CUDA toolkit support.
Expertise in cloud infrastructure management, AWS/GCP, cloud bursting technique, Kubernetes installation, and configuration is highly desirable.
Required Skills- Operating systems: Linux (RHEL, CentOS, SuSE)
- Languages: C, C++, bash, Python
- Schedulers and resource management: PBS, SLURM, Grid Engine, LSF
- Cluster management: xCAT, Bright Cluster Manager, War wolf
- Monitoring: Grafana, Nagios, Zabbix, Gangalia
- Compilers and libraries: GNU, Intel, OpenMPI, Cuda, MPI
- Networking: InfiniBand/ROCE/UFM/Ethernet/DPU
Strong knowledge of parallel file system management, benchmarking tools, Nvidia stack, job scheduler installation, and configuration is essential. Experience with scripting and automation using bash, Perl, Python, and advanced Linux OS debugging skills is highly valued.
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