High Performance Computing Systems Specialist

7 days ago

Pushkar, Rajasthan, India beBeeInfrastructure Full time ₹ 2,00,00,000 - ₹ 2,42,25,000

Job Title: AI Infrastructure Expert

Job Description:

  • Assess current AI infrastructure requirements and forecast future growth, ensuring seamless integration with business objectives.
  • Design, deploy, and support AI infrastructure to meet evolving needs, encompassing CPU, GPU, middleware, and orchestration tools.
  • Configure and manage parallel file systems (PFS) and network file systems (NFS), optimizing performance and scalability.
  • Install and configure libraries and compilers, guaranteeing compatibility and efficiency.
  • Deploy and manage monitoring and observability tools for AI clusters, providing real-time insights and proactive issue resolution.
  • Manage and troubleshoot network issues with InfiniBand, ROCE switches, UFM, NETQ, and other specialized tools, minimizing downtime and maximizing system availability.
  • Expertly manage NVIDIA GPUs, Cuda toolkit, and related software, unlocking advanced AI capabilities.
  • Have knowledge of cloud infrastructure management in AWS and GCP, enabling seamless migration and deployment.
  • Be familiar with cloud bursting techniques, dynamically scaling resources to meet changing demands.
  • Install and configure Kubernetes, automating containerization and orchestration.

Required Skills and Qualifications:

  • 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 tools: Grafana, Nagios, Zabbix, Gangalia
  • Compilers and libraries: GNU, Intel, OpenMPI, Cuda, MPI
  • Networking: InfiniBand/ROCE/UFM/Ethernet/DPU
  • Parallel file systems: GPFS, Lustre, Weka, BeeGFS, VAST
  • Benchmarking tools: IOR, Lim pack
  • NVIDIA stack: NVIDIA AI Enterprise, RunAI
  • PFS configuration and troubleshooting: Lustre, GPFS, Weka
  • Job scheduler installation and configuration: PBS, SLURM, Grid Engine
  • Root cause analysis of cluster issues
  • Performance benchmarking of clusters
  • Basic parallel programming skills – OpenMPI, MPI
  • GPU orchestration and MIG instance creation
  • Scripting and automation: bash, Perl, Python
  • Advanced Linux OS debugging skills

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