Senior AI GPU Engineer

Job Summary

To support the deployment of large-scale GPU AI infrastructure, the full-time Senior AI GPU Deployment Engineer will plan, deploy, and operationalize production-grade GPU clusters for AI training and high-performance computing workloads in a remote setting.

Key responsibilities

• Deploy, integrate, and validate multi-rack GPU-based compute platform deployments
• Collaborate with network and storage engineering teams to optimize topology and integrate high-performance storage environments
• Contribute to infrastructure-as-code automation development for cluster provisioning and lifecycle management

Required qualifications

• Bachelor's degree in Computer Science, Engineering, IT, or related field (or equivalent experience)
• 5+ years of infrastructure engineering or datacenter deployment experience
• 3+ years deploying large-scale AI, HPC, or GPU infrastructure
• Hands-on experience with GPU architectures and large GPU clusters in enterprise or hyperscale environments
• Strong expertise in Linux systems administration, infrastructure-as-code, and automation tools like Ansible and Python