Note : We are looking for candidates based in India and Interested to relocate to Singapore

Job Summary :

We are seeking a skilled High Performance Computing (HPC) Engineer with 5 to 10 years of experience to design, deploy, manage, and optimize HPC cluster environments.

The ideal candidate will have hands-on experience with 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 guides.

Required Skills & Qualifications :

- 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