AI/GPU Infrastructure Specialist Required
Budget: $15 – $25 USD
We are seeking an experienced AI/GPU Infrastructure Specialist with expertise in high-performance computing systems, GPU architecture, and liquid cooling solutions. The ideal candidate will have practical experience working with AI servers, GPU clusters, and thermal management technologies used in demanding AI and machine learning environments.
The freelancer will support technical evaluation and guidance related to liquid-cooled GPU systems, including GPU server configurations, cooling architectures, thermal performance considerations, and infrastructure requirements for AI workloads. Experience with high-end GPU platforms, data center environments, NVIDIA GPU technologies, HPC systems, and AI compute infrastructure is highly preferred.
Candidates should have strong knowledge of GPU hardware, server architecture, cooling solutions (direct-to-chip liquid cooling, immersion cooling, or similar technologies), and the challenges involved in deploying scalable AI compute environments. Experience designing, deploying, or maintaining AI/GPU clusters and enterprise data center infrastructure will be a strong advantage.
The freelancer will support technical evaluation and guidance related to liquid-cooled GPU systems, including GPU server configurations, cooling architectures, thermal performance considerations, and infrastructure requirements for AI workloads. Experience with high-end GPU platforms, data center environments, NVIDIA GPU technologies, HPC systems, and AI compute infrastructure is highly preferred.
Candidates should have strong knowledge of GPU hardware, server architecture, cooling solutions (direct-to-chip liquid cooling, immersion cooling, or similar technologies), and the challenges involved in deploying scalable AI compute environments. Experience designing, deploying, or maintaining AI/GPU clusters and enterprise data center infrastructure will be a strong advantage.