
AI Infrastructure Architect
1 week ago
We are seeking an experienced High Performance Computing Specialist to design, build, and support cutting-edge AI infrastructure for our clients.
The successful candidate will play a key role in driving the development of scalable and efficient high-performance computing systems that meet business needs.
This is an excellent opportunity for professionals with a strong background in Linux operating systems, programming languages such as C, C++, and Python, and experience with cluster management tools like xCAT, Bright Cluster Manager, and War wolf.
Responsibilities- Design and Deploy HPC Systems: Develop and implement optimized HPC architectures that meet customer requirements, including CPU, GPU, middleware, and orchestration tools.
- Manage Parallel File Systems: Configure and manage PFS, NFS, and libraries/compliers installation and configuration.
- Deploy Monitoring Tools: Install and configure monitoring and observability tools for AI clusters.
- Network Management: Troubleshoot InfiniBand, ROCE switches, UFM, NETQ tools.
- Languages: C, C++, bash, Python.
- Schedulers & Resource Management: PBS, SLURM, Grid Engine, LSF.
- Cluster management: xCAT, Bright Cluster Manager, War wolf.
- Monitoring: Grafana, Nagios, Zabbix, Ganglia.
- Compilers & Libraries: GNU, Intel, OpenMPI, Cuda, MPI.
- Networking: InfiniBand/ROCE/UFM/Ethernet/DPU.
- Benchmarking tools: IOR, Lim pack.
- Nvidia Stack: Nvidia AI Enterprise, RunAi.
- Parallel File System: GPFS, Lustre, Weka, BeeGFS, VAST.
- Scripting and automation: bash, Perl, Python.
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