Global Data Center & AI Compute Infrastructure Lead

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

Job summary

UMELIFE (SINGAPORE) PTE. LTD. seeks an experienced Data Center & AI Compute Infrastructure Lead to oversee overseas data center and GPU projects across SEA, the Middle East, NA and other markets. You will manage end-to-end delivery, from planning through commissioning and integration of GPU clusters.

The role requires leadership of complex deployments, collaboration with contractors, authorities and partners, and willingness to travel for overseas assignments as needed.

Qualifications

• Bachelor’s degree or higher in electrical, mechanical, HVAC, data center engineering or related field.
• At least 5 years of relevant data center or AI/GPU infrastructure project experience.
• Proven ability to manage projects from planning through commissioning.
• Experience with high-density GPU infrastructure and data center systems.
• Strong English communication and stakeholder engagement skills.

Responsibilities

• Lead overseas data center projects from site assessment through handover.
• Manage high-density AI/GPU deployments and GPU cluster integration.
• Oversee power, cooling, liquid cooling, networking, and safety infrastructure.
• Coordinate EPC/MEP contractors and suppliers and local stakeholders.
• Track schedules, budgets, quality, and delivery risks.
• Develop standardized deployment processes and supplier management practices.

Skills

Data center experience

Project management

Stakeholder management

Overseas coordination

English communication

GPU infrastructure

Travel willingness

Education

Bachelor’s degree or higher in Electrical/Mechanical/ HVAC or Data Center Engineering

Tools

NVIDIA DGX / H100 / H200 / B300

Job description

UMELIFE (SINGAPORE) PTE. LTD. seeks an experienced Data Center & AI Compute Infrastructure Lead to oversee overseas data center and GPU projects across SEA, the Middle East, NA and other markets. You will manage end-to-end delivery, from planning through commissioning and integration of GPU clusters.

The role requires leadership of complex deployments, collaboration with contractors, authorities and partners, and willingness to travel for overseas assignments as needed.