Staff Platform Engineer - High Performance Computing Platform Management

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. Responsibilities 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. Requirements • 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. As CSIT is an agency under the Ministry of Defence (Singapore), only Singapore Citizens will be considered.