AI Infrastructure Project Engineer

RN CARE PTE. LTD.; Singapore; On-site; SGD 50,000 - 70,000; Full time

Job summary

RN CARE PTE. LTD. in Singapore is seeking a Project Engineer specializing in AI infrastructure and data centre projects. The role involves supporting the deployment, coordinating activities with various stakeholders, and preparing technical documentation.

Ideal candidates should have a diploma in relevant engineering fields and a minimum of two years of experience in project engineering or systems integration. Familiarity with GPU technologies and AI platforms is a plus.

Qualifications

• Minimum 2 years of experience in project engineering, systems integration, data centres, or IT infrastructure.
• Knowledge of servers, networking, storage systems, power distribution, and cooling systems.
• Familiarity with high-performance computing environments is a plus.

Responsibilities

• Support deployment of AI infrastructure projects.
• Coordinate project activities with stakeholders.
• Prepare technical proposals and project documentation.
• Manage project schedules and milestones.
• Provide post-deployment technical support.

Skills

Project engineering

Systems integration

Data centre operations

AI computing platforms

GPU technologies

Education

Diploma in Electrical Engineering or related disciplines

Job description

Responsibilities

• Support the deployment and implementation of AI infrastructure and data centre projects.
• Coordinate project activities with customers, distributors, vendors, technology partners, and internal engineering teams.
• Assist in the design and implementation of AI computing solutions, including GPU servers, storage systems, networking equipment, and cooling infrastructure.
• Participate in customer meetings, technical discussions, and project planning activities.
• Prepare technical proposals, system architecture designs, deployment plans, and project documentation.
• Manage project schedules, milestones, deliverables, and progress reporting to ensure timely project execution.
• Coordinate and oversee Factory Acceptance Testing (FAT) and Site Acceptance Testing (SAT).
• Support installation, commissioning, troubleshooting, and maintenance of AI infrastructure solutions.
• Collaborate closely with global technology partners and OEMs to ensure successful project delivery and system integration.
• Ensure compliance with customer requirements, industry standards, and project specifications.
• Provide post‑deployment technical support, issue resolution, and project follow‑up to maintain customer satisfaction.

Qualifications

• Minimum Diploma in Electrical Engineering, Mechanical Engineering, Computer Engineering, Information Technology, or related disciplines.
• Minimum 2 years of experience in project engineering, systems integration, data centres, or IT infrastructure.
• Knowledge of servers, networking, storage systems, power distribution, cooling systems, or data centre infrastructure.
• Familiarity with AI computing platforms, GPU technologies, and high‑performance computing environments is an advantage.
• Travel required locally and overseas as necessary.