HPC Specialist – Role OverviewArca dion is seeking an HPC (High-Performance Computing) Specialist responsible for the design, deployment, optimization, and management of high-performance computing systems, often used in scientific research, engineering simulations, AI/ML workloads, and large-scale data analytics.Core ResponsibilitiesArchitecture & System DesignDesign scalable HPC clusters (on-prem, cloud, or hybrid)Choose appropriate CPUs, GPUs, interconnects (e.G., InfiniBand), and storageConfigure Slurm, PBS, or OpenHPC job schedulersCluster Deployment & MaintenanceInstall and manage Linux-based compute nodesMaintain job schedulers and resource managersIntegrate monitoring tools (Prometheus, Grafana, Nagios)Performance Tuning & OptimizationBenchmark workloads and tune for performance (e.G., MPI, CUDA, OpenMP)Optimize I/O and inter-node communicationEnsure productive job execution and queue handlingCloud & Hybrid HPC IntegrationDeploy and manage cloud-based HPC environments (Azure CycleCloud, AWS ParallelCluster, Google Cloud HPC Toolkit)Optimize workload portability and orchestration (e.G., Singularity, Kubernetes with KubeFlow or Volcano)AI/ML & GPU Workload SupportManage AI pipelines that require HPC acceleration (e.G., LLM training)Optimize GPU usage (NVIDIA A100/H100,



AMD MI300)Interface with TensorFlow, PyTorch, and HPCML toolsSecurity & ComplianceImplement security best practices for multi-user environmentsSupport data governance for sensitive or regulated workloadsMaintain audit trails and role-based access controlUser & Application SupportAssist researchers and data scientists with job submissions and optimizationDevelop documentation, training materials, and run code validation sessionsTechnical Skills & ToolsSchedulers: Slurm, PBS, Torque, LSFHPC OS & Config: RHEL/CentOS, Rocky, Ubuntu ServerHPC File Systems: Lustre, BeeGFS, GPFSParallel Computing: MPI, OpenMP, CUDAMonitoring/Telemetry: Prometheus, Grafana, GangliaCloud HPC: AWS HPC, Azure CycleCloud, GCP HPC ToolkitContainers: Singularity, Apptainer, Docker, KubernetesAI/ML Support: PyTorch, TensorFlow, Horovod, MLFlowDevOps Tools: Ansible, Terraform, Git, JenkinsQualificationsBachelor’s or Master’s in Computer Science, Engineering, Physics, or a related technical field3–7 years of experience in HPC environmentsExperience supporting AI/ML teams is a major assetCertifications: NVIDIA DLI, AWS Certified HPC Specialist, Linux+ or RHCE#J-18808-Ljbffr

📌 Hpc Specialist (Ottawa)
🏢 Arcadion
📍 Ottawa