Engineering Manager, GPU Infrastructure

Job Summary

Leading the planning and deployment of large-scale AI infrastructure environments, the full-time salaried Engineering Manager, GPU Infrastructure will manage GPU cluster deployment initiatives, oversee integration and operational readiness, and ensure performance validation in a remote setting.

Key Responsibilities

• Oversee deployment and integration of GPU-based compute platforms and manage end-to-end AI cluster deployment initiatives
• Lead operational validation of high-performance GPU interconnects and coordinate with network engineering teams for performance optimization
• Drive infrastructure automation initiatives for cluster provisioning and lifecycle management, establishing repeatable deployment methodologies

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Technology, or related field (or equivalent experience)
• 10+ years of infrastructure engineering or datacenter deployment experience
• 5+ years leading deployment or operations teams for large-scale AI, HPC, or GPU infrastructure
• Hands-on experience deploying large GPU clusters in enterprise or hyperscale environments
• Strong expertise with Canonical MaaS, data storage platforms, InfiniBand, Ethernet GPU fabrics, and Linux systems administration