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 dynamic 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
- Robust 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