Hpc Engineer

12 Months Agency Contract Location: Central Area Working Hour: Mondays to Fridays: 9:00am to 6:00pm The HPC Engineer is responsible for the operation, management, and support of our HPC systems (CPU & GPU) clusters, auxiliary systems, standalone servers, cloud environment, service applications & portals, commercial scientific applications, and hosted tenant systems), including conducting user trainings and performing administrative functions. Job Description: High-Performance Computing Hands on experience in managing HPC clusters with job scheduler, cluster management parallel programming libraries, and parallel filesystems. Knowledge of resource scheduling and job optimization for efficient workload management Infiniband (Networking) Hands-on experience with high-throughput, low-latency interconnect technologies like Infiniband. Ability to design, configure, and troubleshoot interconnects in HPC or distributed environments. Operating Systems and Environments Administration and configuration of RHEL-based systems. Performance tuning, package management, and security hardening. Knowledge of Red Hat Satellite and Ansible for automation. Job Scheduling with PBS Professional Experience in deploying and managing PBS Professional for scheduling and workload management in HPC environments. Customizing job submission scripts and optimizing job queues. Parallel Programming Libraries MPI (Message Passing Interface) and OpenMP (Open Multi-Processing): Proficiency in writing, debugging, and optimizing parallelized code. Experience with scaling applications across HPC systems. Understanding of distributed memory (MPI) and shared memory (OpenMP) paradigms. Cloud Platforms AWS, Azure, Google Cloud: Expertise in provisioning, configuring, and managing services on all three platforms. Cross-platform migration and hybrid cloud solutions knowledge. Proficiency in managing high-performance computing (HPC) clusters on the cloud. Deep understanding of cost optimization, security, and cloud native development tools (e.g., Kubernetes, Terraform). Infrastructure as Code (IaC) Ability to design, deploy, and maintain infrastructure using automation and configuration management tools. CI/CD pipeline integration for IaC workflows. GPU & AI Libraries and Tools Hands-on experience with container technologies. Hands-on experience with TensorFlow, PyTorch, scikit-learn, Keras, or MXNet. Familiarity with AI/ML pipelines, model training, and optimization. Knowledge of MLOps tools for deploying and monitoring models Collaboration and Teamwork Experience working in multi-vendor environments. Capability to coordinate effectively with internal and external teams for project success. Project and Time Management Ability to manage tasks efficiently, prioritize competing demands, and meet deadlines. Experience with project management tools (e.g., Jira, Trello, or MS Project). Adaptability Flexibility to work in dynamic environments and adopt emerging technologies quickly. Willingness to upskill based on project requirements. Ability to clearly articulate technical concepts to both technical and non-technical stakeholders. Requirements: Bachelor's degree in Information Technology, Computer Science, Business Information Systems, or related disciplines. 3+ years of hands on experience with HPC and/or Linux environment . Understanding of PBS Nodes such as deploying and managing PBS Professional for scheduling and workload management in HPC Environment Knowledge of AWS/AZURE/Google Cloud platforms Experience with Monitoring tools such as Grafana or Nagios or Prometheus or Ganglia, etc. Experience with with I nfrastructure as Code (IaC ) with ability to design, deploy, and maintain infrastructure using automation and configuration management tools. Familiarity with AI/ ML pipelines , model training, and optimization We regret to inform that only shortlisted candidates will be notified. Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOL SG job application platform - GO Mobile. By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL SINGAPORE PTE LTD and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolsingapore.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy. This is in partnership with Employment and Employ…