Head of AI Compute & GPU Infrastructure

KUAILU SOFTWARE (SINGAPORE) PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

KUAILU SOFTWARE (SINGAPORE) PTE. LTD. is seeking a Data Center & GPU Infrastructure Lead to coordinate readiness, procurement, and deployment across regional markets. You will drive GPU server procurement, supplier negotiations, and oversee cluster operations to ensure reliability and performance.

The role requires a strong background in AI compute infrastructure, GPU servers, and data centers, with international travel as needed. Hybrid or on-site options in Singapore are possible.

Qualifications

• Bachelor's degree or above in Computer Science, Engineering, or a related field.
• Experience in AI compute infrastructure, GPU servers, data centers, cloud infrastructure, or HPC.
• Experience in GPU procurement, supplier management, and infrastructure deployment.
• 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.

Responsibilities

• Coordinate data center readiness, including power, cooling, networking, and rack capacity, and oversee GPU server installation and cluster deployment across China and overseas markets.
• Lead GPU server procurement, supplier sourcing, price negotiations, and delivery management, including NVIDIA GPU solutions.
• Manage GPU cluster operations, maintenance, monitoring, incident response, and compute resource scheduling.
• Optimize GPU utilization, infrastructure reliability, and overall compute costs.

Skills

Project management

Negotiation

Cost optimization

AI compute infra

Education

Bachelor's degree or higher (CS/Engineering)

Job description

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.