Kerja Sepenuh Masa Global Head of AI Compute Infrastructure, Gaji tinggi SGD 10,000 di UMELIFE (SINGAPORE) PTE. LTD. Central Region (Singapore) - Maukerja

About the Company

We are a rapidly growing AI technology company with operations across China, Hong Kong and Singapore, focused on building next-generation LLM-powered AI products and intelligent agent platforms for global users.

The Company is currently accelerating the development of its proprietary LLM and AI Agent infrastructure, with significant investment in GPU computing resources and AI R&D capabilities. Our technology roadmap covers large-scale model training and inference, AI Agents, multimodal AI, intelligent applications and AI-powered business solutions.

As we enter the next stage of growth, we are building a global AI compute infrastructure network across China, Hong Kong, Singapore and other international markets. This includes the development of GPU training and inference clusters, data center infrastructure, compute scheduling systems, GPU supply chain capabilities and potentially the commercialization of external compute services.

Why This Opportunity

This is a strategic leadership role with the opportunity to build the Company’s AI compute infrastructure from the ground up.

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.