
Optimized High-Performance Computing Engineer
1 week ago
A high-performance computing specialist is needed to work on exciting projects that involve designing, deploying, and supporting AI infrastructure.
Key Responsibilities:- Assess current AI infrastructure requirements and future growth opportunities.
- Design, deploy, and support AI infrastructure that meets business needs, including CPU, GPU, middleware, and orchestration tools.
- Configure and manage PFS (Parallel File System) and NFS (Network File System).
- Install and configure libraries and compilers.
- Deploy and manage monitoring and observability tools for AI clusters.
- Experience with 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
- Parallel file system: GPFS, Lustre, Weka, BeeGFS, VAST
- Benchmarking tools: IOR, Lim pack
- Nvidia stack: Nvidia AI Enterprise, RunAI
- 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
- GPU orchestration and MIG instance creation
- Scripting and automation – bash, Perl, Python
- Advanced Linux OS debugging skills
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