AI Infrastructure Engineer

Job Summary

Seeking a skilled AI Infrastructure Engineer, the full-time remote position will design, build, and operate GPU and accelerator infrastructure for large-scale AI training and inference workloads while ensuring reliability, efficiency, and cost control.

Key Responsibilities

• Design and operate GPU and accelerator infrastructure for training and inference across various environments
• Build scheduling, queueing, and resource-sharing systems to maximize accelerator utilization
• Integrate major ML 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 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