HPC Specialist – Role Overview Arca 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 Responsibilities 1. Architecture & System Design - Design scalable HPC clusters (on-prem, cloud, or hybrid) - Choose appropriate CPUs, GPUs, interconnects (e.g., InfiniBand), and storage - Configure Slurm, PBS, or OpenHPC job schedulers 2.

Cluster

Deployment & Maintenance - Install and manage Linux-based compute nodes - Maintain job schedulers and resource managers - Integrate monitoring tools (Prometheus, Grafana, Nagios) 3.

Performance

Tuning &

• Optimization - Benchmark workloads and tune for performance (e.g., MPI, CUDA, OpenMP) - Optimize I/O and inter-node communication - Ensure productive job execution and queue handling 4. Cloud &

• Hybrid HPC Integration - Deploy 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) 5. AI/ML &

• GPU Workload Support - Manage AI pipelines that require HPC acceleration (e.g., LLM training)



- Optimize GPU usage (NVIDIA A100/H100, AMD MI300) - Interface with TensorFlow, PyTorch, and HPCML tools 6. Security &

• Compliance - Implement security best practices for multi-user environments - Support data governance for sensitive or regulated workloads - Maintain audit trails and role-based access control 7. User &

• Application Support - Assist researchers and data scientists with job submissions and optimizationDevelop documentation, training materials, and run code validation sessions Technical Skills &

• Tools - Schedulers: Slurm, PBS, Torque, LSF - HPC OS &

• Config: RHEL/CentOS, Rocky, Ubuntu Server - HPC File Systems: Lustre, BeeGFS, GPFS - Parallel Computing: MPI, OpenMP, CUDA - Monitoring/Telemetry: Prometheus, Grafana, Ganglia - Cloud HPC: AWS HPC, Azure CycleCloud, GCP HPC Toolkit - Containers: Singularity, Apptainer, Docker, Kubernetes - AI/ML Support: PyTorch, TensorFlow, Horovod, MLFlow - DevOps Tools: Ansible, Terraform, Git, Jenkins Qualifications - Bachelor’s or Master’s in Computer Science, Engineering, Physics, or a related technical field - 3–7 years of experience in HPC environments - Experience supporting AI/ML teams is a major asset - Certifications: NVIDIA DLI, AWS Certified HPC Specialist, Linux+ or RHCE

📌 HPC Specialist (Ottawa)
🏢 Arcadion
📍 Ottawa