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 delivery of production-grade GPU clusters while managing cross-functional teams and ensuring operational readiness in a remote setting.

Key Responsibilities

• Oversee deployment and integration of GPU-based compute platforms, managing deployment programs across compute, storage, networking, and automation layers
• 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, with 5+ years in a leadership role for large-scale AI or GPU infrastructure
• Hands-on experience deploying and operating large GPU clusters in enterprise or hyperscale environments
• Strong expertise with Canonical MaaS, data storage platforms, InfiniBand and Ethernet GPU fabrics, and Linux systems administration
• Proven ability to manage complex cross-functional infrastructure deployment programs