Elevate physical AI innovations with Veeda AI as an AI Infrastructure Engineer. Design and manage high-performance GPU clusters while ensuring data security and efficiency in operations.

As part of a agile engineering team, you'll focus on GPU cluster operations, access control, and network data services. Your expertise will drive resource forecasting and operational expenses management for cutting-edge infrastructure solutions. Engage in end-to-end ownership of projects, ensuring effective implementation and continuous observability.

Key Responsibilities:



• Design and operate Slurm-on-Kubernetes GPU clusters • Implement identity provisioning and access control • Maintain distributed data transmission and caching services • Build telemetry pipelines for hardware health monitoring • Lead projects through the software lifecycle

Requirements: • Bachelor's in Computer Science or equivalent experience • Proficient in automation tools like Ansible and Terraform • Strong troubleshooting skills in networking and storage • Experience with distributed deep learning workloads • Expertise in managing Linux-based HPC clusters

Drive significant advancements in AI infrastructure and collaborate with top experts in the field.

📌 AI Infrastructure Engineer at Veeda AI (Toronto)
🏢 Veeda AI
📍 Toronto