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

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 productive 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 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 (Ahuntsic)
🏢 Arcadion
📍 Ahuntsic