- Paya Lebar Road Geylang Southeast (Singapore) Singapore
Kerja Sepenuh Masa Global Head of AI Compute Infrastructure, Gaji tinggi SGD 20,000 di UMELIFE (SINGAPORE) PTE. LTD. Southeast (Singapore) - Maukerja
Global Head of AI Compute Infrastructure
UMELIFE (SINGAPORE) PTE. LTD.
Kongsi
Simpan
Lokasi Kerja
Penerangan Kerja
Tanggungjawab
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.
UMELIFE is a groundbreaking intelligent social lifestyle platform. It use intelligent socialization, emotional companionship as the starting point, redefining the concept of close friends, and ushering in a whole new lifestyle in the era of intelligence. Utilizing AI technology, we offer users five functional modules including emotional socialization, entertainment games, news updates, dynamic posting, and intelligent price comparison, all closely related to daily life, providing people of all ages and genders with a fun-filled intelligent living experience. Our platform is backed by investment from Brightoil Group, a renowned entity specializing in energy and upstream oil and gas exploration.
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.
UMELIFE is a groundbreaking intelligent social lifestyle platform. It use intelligent socialization, emotional companionship as the starting point, redefining the concept of close friends, and ushering in a whole new lifestyle in the era of intelligence. Utilizing AI technology, we offer users five functional modules including emotional socialization, entertainment games, news updates, dynamic posting, and intelligent price comparison, all closely related to daily life, providing people of all ages and genders with a fun-filled intelligent living experience. Our platform is backed by investment from Brightoil Group, a renowned entity specializing in energy and upstream oil and gas exploration.
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