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 oversee the integration and operational readiness of GPU clusters for AI training and high-performance computing, working remotely within the Pacific Time Zone.

Key Responsibilities

• Manage the deployment and integration of GPU-based compute platforms and oversee 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 a related field (or equivalent experience)
• 10+ years of infrastructure engineering or datacenter deployment experience
• 5+ years of experience leading deployment or operations teams for large-scale AI or GPU infrastructure
• Hands-on experience with deploying and operating large GPU clusters in enterprise or hyperscale environments
• Strong expertise in Canonical MaaS, data storage platforms, InfiniBand and Ethernet GPU fabrics, and Linux systems administration