High-Performance Computing Engineer

4 days ago

Singapur, Singapore DSO National Laboratories Full time

Join to apply for the High-Performance Computing Engineer role at DSO National Laboratories .

DSO National Laboratories (DSO) is Singapore’s largest defence research and development (R&D) organisation, with the mission to develop technological solutions to enhance Singapore's national security. At DSO, you will make a significant impact and shape the future of defence across air, land, sea, space, and cyberspace.

The Digital Division leads DSO’s digital transformation by planning and implementing digital capabilities through IT infrastructure, supporting both corporate and R&D divisions. The division aims to transform work processes, workplace environment, and capabilities to support MINDEF/SAF and national security.

We value our people highly. You will have opportunities to pursue technical expertise or leadership, supported by regular career dialogues, training, and development programs. Competitive remuneration, scholarships, and recognition await high performers.

High-Performance Computing Engineer (3-Year Contract)

In this role, you will:

  • Ensure reliable operation of GPU clusters used for AI training and HPC
  • Advise users on workload execution and optimization
  • Support users with resource needs
  • Maintain and troubleshoot AI and HPC infrastructure, coordinate with OEM vendors for repairs
  • Manage daily operations of GPU clusters, HPC clusters, storage systems, and related infrastructure
Job Requirements
  • Degree in Computer Engineering, Computer Science, Electrical & Electronic Engineering
  • Proficiency in Linux/Unix OS and command-line tools (e.g., Ubuntu, Red Hat)
  • Experience with monitoring tools (e.g., Prometheus, Grafana)
  • Knowledge of HPC performance optimization and troubleshooting
  • Hands-on experience with HPC systems and software
  • Strong programming skills in Python and Bash
  • Familiarity with HPC schedulers (e.g., SLURM), container orchestration (e.g., Kubernetes), GPU systems
  • Experience with HPC workload management tools (e.g., Run.AI, SLURM)
  • Experience managing parallel file systems (e.g., Lustre)
  • Knowledge of cluster management software (e.g., BCM)
Additional Details
  • Seniority level: Entry level
  • Employment type: Contract
  • Job function: Other
  • Industry: Defense and Space Manufacturing
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