About The Role
We're looking for a Senior High Performance Computing Engineer to help us run one of the most exciting GPU clusters around—our Toronto datacenter packed with NVIDIA H100 and A100 GPUs, over 20PB of Ceph storage, terabit networking, and hundreds of servers.
You'll be hands-on with the full lifecycle of HPC infrastructure: planning, building, testing, deploying, and keeping everything running smoothly. That means troubleshooting issues as they arise, monitoring performance, developing automation to make our lives easier, and working closely with engineering and science teams to ensure they have what they need. You'll also help us plan for future capacity and evaluate new technologies as we continue to scale.
Responsibilities
Manage and optimize HPC cluster operationsDeploy and maintain infrastructure-as-code solutionsSupport ML/research teams with cluster usage optimizationOperate, troubleshoot and optimize Ceph storage clusters.Develop automation and tooling
Minimum Qualifications
5+ years of experience in HPC operations.Proficiency in Linux systems administration (Ubuntu/Debian).Experience with Kubernetes and container orchestrationKnowledge of security best practices in multi-tenant environments.Understanding of L2/L3 networking fundamentalsSkilled in Python and Bash scripting.
Preferred Qualifications
Experience with infrastructure-as-code tools (Ansible/Terraform).Experience with Ceph >1PB deployments and maintenanceExperience with GitOps (Helm, ArgoCD).Strong grasp of RDMA, InfiniBand, and GPUDirect technologiesFamiliarity with deep learning frameworks such as PyTorch and TensorFlow.Familiarity in at least one cloud platform: AWS, Azure or GCP.
