AI Infrastructure Engineer

Job Summary

Seeking a skilled AI Infrastructure Engineer to design, build, and operate large-scale AI training and inference platforms in a full-time remote capacity, focusing on GPU clusters, distributed training frameworks, and optimizing resource utilization for machine learning workloads.

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
• Integrate machine learning frameworks into a unified platform while ensuring high-performance storage and data pipelines

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 operating GPU clusters or large-scale ML training infrastructure
• Strong proficiency in Python and at least one systems language such as Go or C++
• Deep understanding of distributed training and accelerator architectures