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Centre for Strategic Infocomm Technologies

Posted 13 months ago

Open

Staff Platform Engineer - High Performance Computing Platform Management

SingaporeOn-siteFull-time

AI Summary

Senior staff engineer responsible for designing, implementing and optimizing a high-performance computing infrastructure platform, including compute, storage, networking, and job scheduling across large-scale clusters.

About this role

You will be part of the dynamic team responsible for building resilient network infrastructure using cutting-edge technologies such as cloud-based and software-defined networking e.g. SD-WAN, ACI and NSX. You must have a good understanding of IT infrastructure systems, and knowledge in the latest networking technologies and platforms. You will be a technical specialist in a team, and must be keen to take on new challenges and keep abreast with rapidly evolving technology landscape.

Role

  • We are seeking an experienced HPC Staff Engineer to join our team, responsible for managing and optimizing our HPC infrastructure platform. The successful candidate will have a deep understanding of HPC systems, architectures and technologies, as well as experience with managing large-scale computing environments. The role will involve designing, implementing and maintaining the HPC infrastructure platform, ensuring high availability, scalability and performance.

    • Responsibilities

  • Lead a team to deliver resilient, scalable and secure HPC platform, including compute nodes, storage systems, networks and job scheduling systems.
  • Lead, design, implement and manage the HPC infrastructure platform to meet organisational needs.
  • Design and implement storage solutions for HPC workloads to ensure efficient data storage and retrieval.
  • Design and implement high-performance networking solutions, including InfiniBand, Ethernet, and other interconnects.
  • Plan and manage HPC resource capacity, including forecasting, procurement and deployment of new hardware and software.
  • Manage HPC clusters, including optimizing, monitoring and troubleshooting cluster performance, as well as managing job scheduling and resource allocation.
  • Ensure the security and compliance of the HPC infrastructure platform, including managing access controls, implementing security patches, and conducting regular security checks.
  • Collaborate with stakeholders like data scientists and developers to optimize application performance on the HPC platform and provide technical support on using the HPC infrastructure platform.

    • Requirements (Minimum Qualifications)

  • Background in Computer Science, Computer Engineering, or a related field.
  • 8+ years of experience in managing HPC systems, including experience with Linux, Unix, or other operating systems.
  • Strong knowledge of HPC architectures, including clusters, grids, and clouds.
  • Experience with HPC job scheduling systems, such as Slurm, Torque and LSF.
  • Strong understanding of storage systems, including SANs, NAS, and object storage.
  • Experience with high-performance networking, including InfiniBand, Ethernet, and other interconnects.
  • Experience with cloud computing platforms, such as AWS, Azure, or Google Cloud.
  • Experience with scripting languages, such as Python, Perl, or Bash.
  • Experience with containerization (Docker, Kubernetes) and proficient in a range of complementary technologies, including Knative, Run:AI, Grafana, Prometheus, Kyverno, ArgoCD, Rancher, NVIDIA BCM and knowledge of NVIDIA Superpod architecture.
  • Experience in leading engineering teams.

    • Nice to Have

  • Certifications in NVIDIA AI Infrastructure and Operations, and Certified Kubernetes Administrator.
  • Experience with machine learning or deep learning frameworks, such as TensorFlow or PyTorch.
  • Familiarity with agile development methodologies and version control systems, such as Git.

    • Why join us?

  • The work is purposeful and meaningful
  • You will work with the best engineers
  • We work with modern technologies and tech stacks
  • We have excellent engineering culture and work-life balance
  • We aspire to engineering and operational excellence
  • We empower to innovate
  • We grow together as a family

    • Skills

    ArgoCDBashCertified Kubernetes Administrator (nice To Have)Cloud Platforms: AWS, Azure, Google CloudDockerEthernetGrafanaInfinibandKnativeKubernetesKyvernoLinuxLSFNASNVIDIA AI Infrastructure And Operations (nice To Have)NVIDIA BCMNVIDIA Superpod ArchitectureObject StoragePerlPrometheusPythonPyTorchRancherRun:AISANSSlurmTensorFlowTorqueUnix

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