
Advanced AI Infrastructure Specialist
12 hours ago
Design and develop scalable AI infrastructure solutions to meet the needs of clients. Utilize expertise in CPU, GPU, middleware, and orchestration tools to assess current AI infrastructure requirements and design future-proof solutions.
Key Responsibilities:
- Assess current AI infrastructure requirements and design future-proof solutions
- Design, deploy, and support AI infrastructure including CPU, GPU, middleware, and orchestration tools
- Configure and manage parallel file systems and network configuration
- Install and configure libraries and compilers
- Deploy and manage monitoring and observability tools for AI clusters
- Manage network configuration and troubleshooting for InfiniBand, ROCE switches, UFM, NetQ, and other tools
Technical Skills:
- Operating Systems: Linux (RHEL, CentOS, SuSE)
- Languages: C, C++, bash, Python
- Schedulers & Resource Management: PBS, SLURM, Grid Engine, LSF
- Cluster Management: xCAT, Bright Cluster Manager, War wolf
- Monitoring Tools: Grafana, Nagios, Zabbix, Ganglia
- Compilers & Libraries: GNU, Intel, OpenMPI, Cuda, MPI
- Networking: InfiniBand/ROCE/UFM/Ethernet/DPU
Additional Requirements:
- Knowledge of cloud infrastructure management (AWS, GCP)
- Cloud bursting technique
- Kubernetes installation and configuration
- Advanced Linux OS debugging skills
- Basic knowledge of parallel programming - OpenMPI, MPI
- Knowledge in GPU orchestration and MIG instance creation
- Scripting and automation skills - bash, Perl, Python
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