AI Infrastructure Engineer

Job Summary

Seeking a skilled AI Infrastructure Engineer, the full-time remote position will design, build, and operate the platform layer for large-scale AI training and inference workloads, focusing on GPU clusters, distributed training frameworks, and resource optimization.

Key Responsibilities

• Design and operate GPU and accelerator infrastructure for training and inference across various configurations
• Build scheduling and resource-sharing systems to maximize accelerator utilization for multiple teams
• Integrate machine learning frameworks into a unified platform and maintain high-performance storage systems

Required Qualifications

• Bachelor's or Master's degree in Computer Science or a related field
• Six or more years of experience in infrastructure, platform, or HPC engineering
• Hands-on experience with GPU clusters or large-scale ML training infrastructure
• Proficiency in Python and at least one systems language such as Go or C++
• Deep understanding of distributed training and accelerator architectures