AI Infrastructure Engineer – GRaduate Industry Traineeships (GRIT) Programme

RAYDIAN CLOUD PTE. LTD.; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A technology company in Singapore is seeking an AI Infrastructure Engineer to design and manage the physical infrastructure for advanced machine learning workloads. The ideal candidate will have hands-on experience with servers and compute clusters, expertise in remote management tools, and strong troubleshooting skills. This role offers competitive compensation and the opportunity to work with cutting-edge hardware and technologies.

Benefits

Competitive compensation

Flexible work culture

Rapid growth opportunities

Qualifications

• Hands-on experience with servers, high-performance storage, and compute clusters.
• Experience with remote management tools (IPMI, Redfish, BMC) and monitoring platforms.
• Excellent documentation and troubleshooting skills.

Responsibilities

• Design and deploy physical infrastructure for AI workloads including GPU servers.
• Manage data center operations including rack layout and power distribution.
• Monitor hardware performance across distributed environments.
• Coordinate with vendors for hardware procurement and support.
• Document infrastructure designs and operational procedures.

Skills

Experience with servers

High-performance storage

Compute clusters

Remote management tools (IPMI, Redfish, BMC)

Excellent documentation skills

Troubleshooting skills

Job description

Overview

About the Role: Raydian Cloud is building the physical backbone of enterprise AI. As an AI Infrastructure Engineer focused on physical systems, you’ll be responsible for architecting, deploying, and maintaining the high-performance compute environments that power advanced machine learning workloads. From GPU clusters and high-speed networking to storage and cooling systems, you’ll ensure our infrastructure is optimized for scale, reliability, and performance.

Responsibilities

• Design and deploy physical infrastructure for traditional as well as AI workloads, including GPU servers, high-density compute nodes, and NVMe-based storage arrays
• Manage data center operations, including rack layout, cabling, power distribution, and cooling optimization
• Monitor hardware performance, utilization, and health across distributed environments
• Coordinate with vendors and OEMs for hardware procurement, installation, and support
• Document infrastructure designs, deployment procedures, and operational runbooks

Required Skills & Qualifications

• Hands-on experience with servers, high-performance storage, and compute clusters
• Experience with remote management tools (IPMI, Redfish, BMC) and monitoring platforms
• Excellent documentation and troubleshooting skills

Nice to Have

• Experience with liquid cooling or immersion cooling systems for high-density compute
• Familiarity with edge AI deployments and hybrid infrastructure models
• Certifications in data center operations, hardware engineering, or AI infrastructure

Why Join Raydian Cloud?

• Help build the physical foundation of enterprise AI transformation
• Work with cutting-edge hardware and infrastructure technologies
• Influence infrastructure strategy and deployment standards
• Competitive compensation, flexible work culture, and rapid growth opportunities