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Full Time High Performance Computing Engineer Jobs, in SystemBender - Maukerja

High Performance Computing Engineer

SystemBender

Undisclosed

Singapore

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Working Location

  • Singapore

Job Description

Responsibilities

We're Hiring | HPC Resident Engineer | Singapore


Are you passionate about High Performance Computing (HPC), AI Infrastructure, and Cloud Technologies? Join our team and work on cutting-edge HPC environments supporting advanced research and enterprise AI workloads.


Location :-Singapore (On-site)

Employment Type: 1-Year Contract


Experience: 6–8 years of relevant experience in High Performance Computing (HPC) environments.


Key Responsibilities

  • Manage and support HPC CPU & GPU clusters.
  • Administer HPC job schedulers such as PBS Professional or SLURM.
  • Configure and maintain Red Hat Enterprise Linux (RHEL) environments.
  • Manage HPC networking using InfiniBand.
  • Monitor infrastructure using Grafana, Prometheus, Nagios, or Ganglia.
  • Support GPU-based AI/ML workloads using CUDA and NVIDIA technologies.
  • Deploy and automate infrastructure using Terraform, CloudFormation, or Pulumi.
  • Manage HPC workloads across AWS, Azure, and GCP.
  • Troubleshoot, optimize, and enhance HPC system performance.


Mandatory Skills: HPC Cluster Administration

PBS Professional or SLURM

Linux (RHEL) Administration

InfiniBand Networking

MPI & OpenMP Libraries

Parallel File Systems

AWS / Azure / GCP

Infrastructure as Code (Terraform / Pulumi / CloudFormation)

Docker / Kubernetes / Singularity

NVIDIA CUDA & GPU Administration

TensorFlow / PyTorch / scikit-learn

Monitoring Tools (Grafana, Prometheus, Nagios, Ganglia)


Good to Have

  • Bright Cluster Manager
  • xCAT
  • Puppet
  • MLflow / Kubeflow
  • Red Hat Satellite
  • Ansible
  • AI/ML Pipeline experience


If you're interested in working on world-class HPC infrastructure in Singapore, we'd love to hear from you!

Send your updated CV to *************


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