K. Digitech Pte Ltd · East Region
About the role
As an ICT & AI Computing Infrastructure Engineer, you will be responsible for the deployment, integration, testing and troubleshooting of ICT and AI computing infrastructure, including GPU servers, storage systems, network switches and optical communication equipment. You will take ownership of physical and system-level deployment — from servers, GPU infrastructure and networking to storage, testing and final handover.
Key responsibilities
Deploy, rack and configure GPU servers, storage systems, network switches and optical communication equipment
Perform equipment installation, cabling, power-up, testing and acceptance
Configure BMC, BIOS, operating systems and hardware drivers
Support the deployment and configuration of Linux-based server environments
Implement and troubleshoot network and storage connectivity
Diagnose and resolve hardware, network and storage-related faults
Support GPU computing and AI infrastructure deployment at customer and project sites
Prepare network topology diagrams, test reports, commissioning records and project handover documentation
Ensure equipment deployment and cabling comply with relevant data centre and server-room safety requirements
Coordinate with internal teams, customers and technology partners during project implementation and handover
About you
Bachelor's degree or above in Computer Science, Network Engineering, Communications Engineering or related disciplines
Hands-on experience in on-site delivery or deployment of data centre or computing infrastructure
Familiar with servers, GPU infrastructure, Linux, network switches, storage systems and optical modules/equipment
Able to independently perform network configuration, system integration and troubleshooting
Good understanding of server hardware, networking and storage architecture
Strong analytical and hands-on problem-solving capabilities
Comfortable working at data centres, server rooms and customer project sites
Willing to travel within Southeast Asia according to project requirements
Experience with AI data centres (AIDC), GPU clusters or similar high-performance computing environments will be an advantage
HCIP/HCIE or relevant professional certifications will be an advantage