AI Infrastructure Engineer

Job Summary

A company is looking for an AI Infrastructure Engineer to enhance AI platform infrastructure and automate onboarding processes.

Key Responsibilities

• Prepare AI platform customers for production by setting up Kubernetes clusters and configuring GPU drivers
• Manage the bare metal platform layer, integrating GPU infrastructure with orchestration layers and MLOps tools
• Identify and address infrastructure gaps, translating customer feedback into product improvements

Required Qualifications

• Experience administering bare metal Linux systems, including GPU servers and driver stacks
• Expertise in NVIDIA GPU stack components such as drivers, CUDA, and NCCL
• Production experience with Kubernetes and orchestration tools like SLURM
• Understanding of AI networking fundamentals, including TCP/IP and high-speed interconnects
• Ability to communicate effectively with customers and translate their needs into actionable requirements