AI Compute & GPU Infrastructure Lead

Kuailu Software; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Kuailu Software in Singapore is seeking an experienced AI compute infrastructure lead to oversee data center readiness, GPU server deployment, and cluster operations for global AI workloads.

You will drive procurement, vendor negotiations, and cost optimization for large-scale GPU infrastructure, with emphasis on GPU architecture, networking, power, and cooling. International travel may be required.

Qualifications

• Bachelor's degree in CS/Engineering or related field.
• Experience in AI compute infrastructure, GPU servers, data centers, cloud infra or HPC.
• Experience in GPU procurement, supplier management and deployment.
• Knowledge of GPU server architecture, networking, power and cooling.
• Strong PM, negotiation and cost optimization skills.
• Experience deploying large-scale GPU clusters for AI training or inference preferred.
• Willing to travel internationally as required.

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.

Skills

GPU servers

Data center operations

Procurement

Project management

Cost optimization

Education

Bachelor's degree in Computer Science or Engineering

Job description

Kuailu Software in Singapore is seeking an experienced AI compute infrastructure lead to oversee data center readiness, GPU server deployment, and cluster operations for global AI workloads.

You will drive procurement, vendor negotiations, and cost optimization for large-scale GPU infrastructure, with emphasis on GPU architecture, networking, power, and cooling. International travel may be required.