Global Head of AI Compute Infrastructure

Kuailu Software; Singapore; On-site; SGD 220,000 - 380,000; Full time

Job summary

Kuailu Software is seeking an executive to define and drive the global AI compute and GPU infrastructure strategy from Singapore. You will lead the planning, deployment, and expansion of large-scale GPU training and inference clusters, data centre infrastructure, and ensure efficient procurement and cost optimization.

The role requires 10+ years in AI infrastructure, cloud computing, HPC or related fields, strong leadership, and the ability to collaborate with R&D, engineering, product and

Qualifications

• Bachelor’s degree or above in CS/CE/IT/Engineering or related field.
• 10+ years of experience in AI infrastructure, cloud computing, data centres, HPC, GPU infrastructure or related fields.
• Proven experience in large-scale GPU cluster, AI compute or data centre infrastructure deployment.
• Strong knowledge of GPU computing, AI/ML infrastructure, networking, storage and cloud technologies.
• Experience in GPU procurement, capacity planning, vendor management and cost optimisation.
• Experience managing infrastructure projects across multiple countries or regions is preferred.
• Strong leadership, project management and stakeholder management skills.
• Commercial understanding of infrastructure CAPEX/OPEX, utilisation and cost optimisation.
• Experience with LLM training/inference infrastructure, Kubernetes or distributed computing will be an advantage.

Responsibilities

• Define and execute the Company’s global AI compute and GPU infrastructure strategy.
• Lead the planning, deployment and expansion of large-scale GPU training and inference clusters and data centre infrastructure.
• Drive GPU procurement, supplier management, capacity planning and cost optimisation.
• Establish infrastructure operations, resource scheduling, monitoring, SLA and reliability frameworks.
• Lead AI infrastructure expansion across Singapore, Hong Kong, China and other international markets.
• Work closely with AI R&D, engineering, product, finance and business teams to align compute capacity with business needs.
• Lead and develop AI infrastructure teams and manage strategic technology and data centre partners.
• Evaluate opportunities to commercialise excess GPU capacity and develop external compute services.
• Lead major infrastructure initiatives from 0-to-1 through deployment and large-scale operations.

Skills

Leadership

Stakeholder management

Project management

Strategic planning

People management

Education

Bachelor’s degree or above in Computer Science, Computer Engineering, IT, Engineering or a related field

Tools

Kubernetes

Job description

AbouttheCompany

WearearapidlygrowingAItechnologycompanywithoperationsacrossChina,HongKongandSingapore,focusedonbuildingnext-generationLLM-poweredAIproductsandintelligentagentplatformsforglobalusers.

TheCompanyiscurrentlyacceleratingthedevelopmentofitsproprietaryLLMandAIAgentinfrastructure,withsignificantinvestmentinGPUcomputingresourcesandAIR&Dcapabilities.Ourtechnologyroadmapcoverslarge-scalemodeltrainingandinference,AIAgents,multimodalAI,intelligentapplicationsandAI-poweredbusinesssolutions.

Asweenterthenextstageofgrowth,wearebuildingaglobalAIcomputeinfrastructurenetworkacrossChina,HongKong,Singaporeandotherinternationalmarkets.ThisincludesthedevelopmentofGPUtrainingandinferenceclusters,datacenterinfrastructure,computeschedulingsystems,GPUsupplychaincapabilitiesandpotentiallythecommercializationofexternalcomputeservices.

WhyThisOpportunity

ThisisastrategicleadershiprolewiththeopportunitytobuildtheCompany’sAIcomputeinfrastructurefromthegroundup.

Job Responsibilities

• Define and execute the Company’s global AI compute and GPU infrastructure strategy.
• Lead the planning, deployment and expansion of large-scale GPU training and inference clusters and data centre infrastructure.
• Drive GPU procurement, supplier management, capacity planning and cost optimisation.
• Establish infrastructure operations, resource scheduling, monitoring, SLA and reliability frameworks.
• Lead AI infrastructure expansion across Singapore, Hong Kong, China and other international markets.
• Work closely with AI R&D, engineering, product, finance and business teams to align compute capacity with business needs.
• Lead and develop AI infrastructure teams and manage strategic technology and data centre partners.
• Evaluate opportunities to commercialise excess GPU capacity and develop external compute services.
• Lead major infrastructure initiatives from 0-to-1 through deployment and large-scale operations.

Job Requirements

• Bachelor’s degree or above in Computer Science, Computer Engineering, IT, Engineering or a related field.
• 10+ years of experience in AI infrastructure, cloud computing, data centres, HPC, GPU infrastructure or related fields.
• Proven experience in large-scale GPU cluster, AI compute or data centre infrastructure deployment.
• Strong knowledge of GPU computing, AI/ML infrastructure, networking, storage and cloud technologies.
• Experience in GPU procurement, capacity planning, vendor management and cost optimisation.
• Experience managing infrastructure projects across multiple countries or regions is preferred.
• Strong leadership, project management and stakeholder management skills.
• Commercial understanding of infrastructure CAPEX/OPEX, utilisation and cost optimisation.
• Experience with LLM training/inference infrastructure, Kubernetes or distributed computing will be an advantage.