Global Head of AI Compute Infrastructure
Listed on 2026-10-15
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IT/Tech
Cloud Computing: Infrastructure & Operations, IT Infrastructure, Systems Engineer, IT Project Manager
Aboutthe Company
WearearapidlygrowingAItechnologycompanywithoperationsacross
China,Hong Kongand Singapore ,focusedonbuildingnext-generationLLM-poweredAIproductsandintelligentagentplatformsforglobalusers.
TheCompanyiscurrentlyacceleratingthedevelopmentofitsproprietaryLLMandAIAgentinfrastructure,withsignificantinvestmentinGPUcomputingresourcesandAIR&Dcapabilities.
Ourtechnologyroadmapcoverslarge-scalemodeltrainingandinference,AIAgents,multimodal AI,intelligentapplicationsandAI-poweredbusinesssolutions.
Asweenterthenextstageofgrowth,wearebuildingaglobalAIcomputeinfrastructurenetworkacross
China,Hong Kong,Singaporeandotherinternationalmarkets.
ThisincludesthedevelopmentofGPUtrainingandinferenceclusters,datacenterinfrastructure,computeschedulingsystems,GPUsupplychaincapabilitiesandpotentiallythecommercializationofexternalcomputeservices.
Why This Opportunity
Thisisastrategicleadershiprolewiththeopportunitytobuildthe Company’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.
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