14 Oct
|
Veeda AI
|
Toronto
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 energetic 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