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Head of AI Compute & GPU Infrastructure

Competition
Normal
Disclosed monthly salary
S$10,000 – S$20,000

Job Responsibilities

  • Data Center & Deployment and Project Management: Coordinate data center readiness, including power, cooling, networking, and rack capacity, and oversee GPU server installation and cluster deployment across China and overseas markets.
  • GPU Procurement: Lead GPU server procurement, supplier sourcing, price negotiations, and delivery management, including NVIDIA GPU solutions.
  • Infrastructure Operations: Manage GPU cluster operations, maintenance, monitoring, incident response, and compute resource scheduling.
  • Cost & Performance Optimization: Optimize GPU utilization, infrastructure reliability, and overall compute costs.

Job Requirements

  • Bachelor's degree or above in Computer Science, Engineering, or a related field.
  • Relevant experience in AI compute infrastructure, GPU servers, data centers, cloud infrastructure, or HPC.
  • Experience in GPU procurement, supplier management, and infrastructure deployment.
  • Good understanding of GPU server architecture, networking, power, and cooling requirements.
  • Strong project management, negotiation, and cost optimization skills.
  • Experience deploying large-scale GPU clusters for AI training or inference is preferred.
  • Willingness to travel internationally as required.

About Kuailu Software

Kuailu Technology is dedicated to building a one-stop AI-powered intelligent office system. With a low-code platform as its foundation and AI agents as the engine, it integrates a full-scenario office ecosystem encompassing AI-driven office work, collaboration, and meetings. The system covers all business scenarios, including HR, finance, procurement, administration, and CRM. By establishing a unified data foundation to replace multiple software systems, it breaks down internal information silos, enables seamless data flow across entire business processes, and activates core data assets related to people, capital, and materials. This transforms data into intelligent productivity, helping enterprises achieve low-cost, high-efficiency, and integrated smart office operations.

Posted 30 Oct 2026