High Performance Computing Professional

4 days ago

Gandhinagar, Gujarat, India beBeeInfrastructure Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Our organization is seeking a seasoned professional to design, build and support cutting-edge AI infrastructure for our clients across India.

About the Role
  • The ideal candidate will have experience in assessment, design, deployment and management of high-performance computing infrastructure, including CPU, GPU, middleware, orchestration tools, parallel file systems, libraries, compilers installation, monitoring, network management and troubleshooting.
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/orchestration tool selection
  • Configure and manage parallel file systems
  • Install and configure libraries and compilers
  • Deploy and manage monitoring and observability tools for AI clusters
  • Manage and troubleshoot networks, including InfiniBand/ROCE switches, UFM, NetQ tools
Desirable Skills
  • Nvidia GPU management and CUDA toolkit expertise
  • Cloud infrastructure management experience with AWS/GCP
  • Knowledge of cloud bursting techniques
  • Kubernetes installation and configuration
  • Operating system proficiency in Linux distributions (RHEL, CentOS, SuSE)
  • Programming language skills in C, C++, bash, Python
  • Experience with schedulers and resource management systems (PBS, SLURM, Grid Engine, LSF)
  • Cluster management expertise with xCAT, Bright Cluster Manager, War wolf
  • Monitoring tools proficiency (Grafana, Nagios, Zabbix, Ganglia)
  • Compilers and libraries knowledge (GNU, Intel, OpenMPI, CUDA, MPI)
  • Networking expertise (InfiniBand/ROCE/UFM/Ethernet/DPU)
Preferred Experience
  • Parallel file system management (GPFS, Lustre, Weka, BeeGFS, VAST)
  • Benchmarking tools expertise (IOR, Lim pack)
  • Nvidia stack knowledge (Nvidia AI Enterprise, RunAI)
  • Configuration and troubleshooting of parallel file systems 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 expertise
  • Scripting and automation skills in bash, Perl, Python
  • Advanced Linux OS debugging skills

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