
AI Infrastructure Specialist
4 days ago
This role involves the design, deployment and management of high-performance computing infrastructure for business requirements. It includes CPU, GPU, middleware and orchestration tools.
A successful candidate should have expertise in operating systems (Linux), programming languages (C, C++, Python), schedulers and resource management (PBS, SLURM), cluster management (xCAT, Bright Cluster Manager) and monitoring (Grafana, Nagios, Zabbix).
- Key Responsibilities:
- Assessment of Current AI Infrastructure requirements and future growth
- Design, deploy, and support AI infrastructure to suit business requirements, including CPU, GPU, middleware, and orchestration tools
- PFS/NFS configuration and management
- Libraries and compilers installation and configuration
- Deployment and management of monitoring and observability tools for AI clusters
- Network management and troubleshooting of InfiniBand, ROCE switches, UFM, NETQ, and other tools
- Parallel File Systems and Benchmarking Tools:
- Configuration and troubleshooting of PFS like Lustre, GPFS, WEKA
- Job scheduler installation, configuration, and troubleshooting
- Root cause analysis of cluster issues
- Performance benchmarking of clusters
- Basic knowledge of parallel programming – OpenMPI, MPI
- Knowledge in GPU orchestration and MIG instance creation
- Scripting and automation – bash, Perl, Python
- Advanced Linux OS debugging skills
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