Senior AI HPC Infrastructure Architect (Hybrid/Remote)

Placements24; Kimberley; Hybrid; CAD 120,000 - 180,000; Full time

Job summary

Placements24 is seeking an experienced AI Infrastructure Engineer to design, deploy, and optimize HPC environments for AI workloads in a hybrid setting at our Kimberley facility, with remote work flexibility.

You will build scalable GPU clusters, manage distributed storage, and deploy AI/ML frameworks while automating infrastructure with IaC tools and scripting. Collaboration with researchers is essential.

Qualifications

• 6+ years of experience in systems engineering, infrastructure management, or DevOps with HPC focus.
• Experience managing GPU clusters and optimizing AI/ML workloads.
• Strong understanding of Linux, networking, and storage for HPC environments.
• Hands-on with container orchestration platforms like Kubernetes.
• Proficient in Python, Bash, or PowerShell scripting.
• Familiarity with Terraform/Ansible for infrastructure as code.

Responsibilities

• Design, build, and maintain scalable HPC infrastructure for AI workloads, including GPU clusters and distributed storage systems.
• Optimize system performance for AI training and inference tasks (compute, memory, network).
• Deploy and manage AI/ML frameworks on the HPC cluster (TensorFlow, PyTorch, Horovod).
• Implement containerization/dockerization and Kubernetes for AI workloads.
• Automate infrastructure deployment and configuration with IaC tools and scripting.
• Collaborate with AI researchers to inform infrastructure needs and provide support.
• Ensure security and reliability of the AI infrastructure and stay current with HPC advances.

Skills

GPU clusters

Linux systems

Networking

Python

Bash

PowerShell

Container orchestration

Terraform

Ansible

AI/ML frameworks

Education

Bachelor's degree in CS/Engineering

Master's degree in CS/Engineering

Tools

Docker

Kubernetes

Terraform

Ansible

Job description

Placements24 is seeking an experienced AI Infrastructure Engineer to design, deploy, and optimize HPC environments for AI workloads in a hybrid setting at our Kimberley facility, with remote work flexibility.

You will build scalable GPU clusters, manage distributed storage, and deploy AI/ML frameworks while automating infrastructure with IaC tools and scripting. Collaboration with researchers is essential.