HPC Specialist

Confidential

Ottawa, Ontario Hybrid contract

Posted: January 30, 2026

Required Skills

Job Description

🔬 HPC Specialist – Role Overview

Arcadion 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

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

Cluster Deployment & Maintenance

Install and manage Linux-based compute nodes

Maintain job schedulers and resource managers

Integrate monitoring tools (Prometheus, Grafana, Nagios)

Performance Tuning & Optimization

Benchmark workloads and tune for performance (e.g., MPI, CUDA, OpenMP)

Optimize I/O and inter-node communication

Ensure efficient job execution and queue handling

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)

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

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

User & Application Support

Assist researchers and data scientists with job submissions and optimization

Develop documentation, training materials, and run code validation sessions

🛠️ Technical Skills & Tools Category Technologies 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

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