HPC Engineer - Cluster Infrastructure

As a skilled High Performance Computing (HPC) Engineer with 5 to 10 years of experience, your role will involve designing, deploying, managing, and optimizing HPC cluster environments. You should have hands-on experience in cluster scheduling, monitoring, performance tuning, and supporting scientific or engineering workloads in Linux-based environments. Key Responsibilities: - Design, deploy, and maintain HPC cluster infrastructure to ensure high availability and performance. - Manage and configure job scheduling systems such as PBS and SLURM. - Implement and maintain monitoring solutions using Grafana, Nagios, Prometheus, and Ganglia. - Administer cluster management tools including Bright Cluster Manager, xCAT, and Puppet for infrastructure automation. - Configure and troubleshoot high-speed networking technologies including InfiniBand and Gigabit Ethernet. - Perform system performance analysis, profiling, and debugging using tools like Intel VTune, Valgrind, and gprof. - Provide application support for scientific and engineering workloads using GNU and Intel CUDA compilers, as well as MKL libraries. - Manage virtualization environments using Proxmox and handle license management tools like FlexLM. - Configure and maintain storage solutions including parallel file systems and enterprise object storage platforms. - Ensure system security, patching, and compliance in Red Hat Linux environments. - Collaborate with research, engineering, and IT teams to optimize workloads and resource utilization. - Document system architecture, processes, and troubleshooting. Qualifications Required: - 5 to 10 years of experience in HPC systems administration or engineering. - Strong experience with job schedulers such as PBS and SLURM. - Hands-on experience with monitoring tools: Grafana, Nagios, Prometheus, Ganglia. - Expertise in cluster management tools like Bright Cluster Manager, xCAT, and Puppet. - Solid understanding of HPC networking, including InfiniBand and Ethernet. - Experience with performance profiling and debugging tools (Intel VTune, Valgrind, gprof). - Familiarity with compilers and libraries: GNU, Intel CUDA, MKL. - Experience with virtualization platforms like Proxmox and license management (FlexLM). - Knowledge of storage technologies: parallel file systems (e.g, Lustre, GPFS) and object storage. - Strong Linux administration skills, specifically Red Hat Enterprise Linux. - Scripting skills (Bash, Python, or similar) for automation and troubleshooting. Please note that candidates based in India and interested in relocating to Singapore are preferred for this position. As a skilled High Performance Computing (HPC) Engineer with 5 to 10 years of experience, your role will involve designing, deploying, managing, and optimizing HPC cluster environments. You should have hands-on experience in cluster scheduling, monitoring, performance tuning, and supporting scientific or engineering workloads in Linux-based environments. Key Responsibilities: - Design, deploy, and maintain HPC cluster infrastructure to ensure high availability and performance. - Manage and configure job scheduling systems such as PBS and SLURM. - Implement and maintain monitoring solutions using Grafana, Nagios, Prometheus, and Ganglia. - Administer cluster management tools including Bright Cluster Manager, xCAT, and Puppet for infrastructure automation. - Configure and troubleshoot high-speed networking technologies including InfiniBand and Gigabit Ethernet. - Perform system performance analysis, profiling, and debugging using tools like Intel VTune, Valgrind, and gprof. - Provide application support for scientific and engineering workloads using GNU and Intel CUDA compilers, as well as MKL libraries. - Manage virtualization environments using Proxmox and handle license management tools like FlexLM. - Configure and maintain storage solutions including parallel file systems and enterprise object storage platforms. - Ensure system security, patching, and compliance in Red Hat Linux environments. - Collaborate with research, engineering, and IT teams to optimize workloads and resource utilization. - Document system architecture, processes, and troubleshooting. Qualifications Required: - 5 to 10 years of experience in HPC systems administration or engineering. - Strong experience with job schedulers such as PBS and SLURM. - Hands-on experience with monitoring tools: Grafana, Nagios, Prometheus, Ganglia. - Expertise in cluster management tools like Bright Cluster Manager, xCAT, and Puppet. - Solid understanding of HPC networking, including InfiniBand and Ethernet. - Experience with performance profiling and debugging tools (Intel VTune, Valgrind, gprof). - Familiarity with compilers and libraries: GNU, Intel CUDA, MKL. - Experience with virtualization platforms like Proxmox and license management (FlexLM). - Knowledge of storage technologies: parallel file systems (e.g, Lustre, GPFS) and object storage. - Strong Linux administration skills,