Senior AI Infrastructure Engineer

Job Summary

A company is looking for a Senior AI Compute Infrastructure Engineer.

Key Responsibilities

• Own and operate GPU and accelerator clusters for model training, inference, and evaluation
• Design infrastructure to enable local model execution on GPUs, optimizing cost and dependency
• Build and improve systems for scheduling, orchestration, and observability across accelerator environments

Required Qualifications

• 5+ years of experience in infrastructure engineering with a focus on GPU compute and ML infrastructure
• Hands-on experience with GPU clusters in production environments
• Strong systems engineering fundamentals in Linux, networking, and distributed systems
• Experience with ML serving frameworks and proficiency in Python for automation and tooling
• Practical understanding of performance tradeoffs in compute environments