
High Performance Computing Engineer
3 days ago
Design and support high-performance computing infrastructure for businesses, including assessment of current AI requirements and future growth.
Main Responsibilities:- Assess current AI infrastructure and plan for future development needs
- Implement, deploy, and manage AI infrastructure to meet business demands, including CPU, GPU, middleware, and orchestration tools
- Configure and manage Parallel File Systems (PFS) and Network File System (NFS)
- Install and configure libraries and compilers
- Deploy and manage monitoring and observability tools for AI clusters
- Operating Systems: Linux (RHEL, CentOS, SuSE)
- Programming 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, Ganglia
- Compilers and Libraries: GNU, Intel, OpenMPI, Cuda, MPI
- Networking: InfiniBand/ROCE/UFM/Ethernet/DPU
- Advanced knowledge of parallel programming – OpenMPI, MPI
- Familiarity with GPU Orchestration/MIG Instance Creation
- Scripting and Automation – bash, Perl, Python
- Expertise in Advanced Linux OS Debugging
- Achieve significant impact by designing and implementing cutting-edge AI infrastructure solutions
- Cultivate a culture of innovation and continuous improvement within the organization
- Demonstrate expertise in High-Performance Computing (HPC) systems and their applications
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