AI Infrastructure Engineer

Maistorage Technology Sdn. Bhd.; Subang Jaya; On-site; MYR 60,000 - 90,000; Full time

Job summary

Maistorage Technology Sdn. Bhd. in Malaysia is seeking an AI Infrastructure Engineer to own end-to-end deployment of on-premise AI solutions, blending high-performance hardware assembly with software stack orchestration.

You will configure Linux environments, provision OS, and deploy containerized AI apps using Docker, while ensuring system reliability at client sites and handling on-site installations. Strong knowledge of hardware, GPU/PCIe, and experience with Linux CLI and scripting is

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, or related technical field.
• 1–2 years in infrastructure support, system administration or similar roles; fresh graduates with strong Linux/homelab knowledge encouraged to apply.

Responsibilities

• End-to-end deployment of on-premise AI solutions, blending hardware assembly with software stack orchestration.
• Perform full hardware assembly including MB/CPU/GPU and high-speed storage.
• Provision and configure Linux environments and AI software stacks on-premise.
• Deploy and manage AI applications using Docker, ensuring resources are properly constrained.

Skills

Linux

Docker

Shell scripting

Hardware assembly

GPU/PCIe knowledge

System diagnostics

Education

Bachelor’s degree in Computer Science or Computer Engineering

Tools

Kubernetes

NVIDIA CUDA toolkit

Job description

As an AI Infrastructure Engineer, you will be responsible for the end-to-end deployment of on-premise AI solutions. This role is a unique blend of high-performance hardware engineering and software stack orchestration. You will be the driving force behind the physical assembly of high-performance computing hardware, operating system provisioning, and the deployment of containerized AI applications.

You will serve as the primary technical point of contact for ensuring system reliability and performance at client sites, bridging the gap between raw silicon and production‑ready AI models.

Key Responsibilities

Systems Integration: Perform full‑cycle hardware assembly, including the integration of high‑performance Motherboards (MB), CPUs, GPUs, and high‑speed NVMe/SSD storage arrays.

Logistics & Hardware Management: Oversee the end‑to‑end logistics lifecycle of hardware assets, including inventory tracking, shipping, and coordinated onsite installation to ensure seamless customer delivery.

Deployment & Maintenance: Provision and configure Linux‑based environments and specialized AI software stacks on‑premise, ensuring environments are tuned for heavy compute.

Container Management: Deploy and manage AI applications using Docker, ensuring containers are optimized, resource‑constrained, and running according to specification.

System Diagnostics: Monitor system health and perform deep‑dive debugging by analyzing Docker logs, kernel logs (dmesg), and hardware telemetry to preempt failures.

Collaborative Troubleshooting: Isolate and resolve complex network configurations, driver conflicts (NVIDIA/CUDA), and hardware‑level failures.

Minimum Qualifications

Education: Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field.

Experience: 1–2 years in infrastructure support, system administration, or similar roles. Fresh graduates with strong Linux and "homelab" infrastructure knowledge are encouraged to apply.

Hardware Proficiency: Deep understanding of PC/Server architecture, including CPU architectures, GPU power requirements, PCIe lane distribution, and DRAM/Storage scaling.

OS & Scripting: Strong command of the Linux CLI (Ubuntu/CentOS) for filesystem management, networking configuration, and shell scripting for task automation.

Containerization: Practical experience managing Docker environments and understanding container lifecycles.

Precision & Detail: High level of precision in physical assembly, including cable management, thermal application, and firmware/BIOS updates.

Nice-to-Haves

Orchestration: Basic understanding of Kubernetes or other container orchestration platforms.

NVIDIA Stack: Familiarity with the NVIDIA AI Enterprise stack and GPU operator deployments.

Communication: Ability to translate complex technical issues into clear status reports for both internal engineering teams and non‑technical client stakeholders.

Company Information

MaiStorage is a member of Phison group, the world’s leading independent supplier of NAND controller ICs and storage solutions.

By leveraging Phison’s proven technology, extensive expertise, and vast experience, MaiStorage excels in delivering premier storage solutions tailored to diverse market needs.

MaiStorage plays a direct role in the development and production of Phison’s aiDAPTIV+ technology, enterprise products, and automotive solutions in Malaysia.

Information & Communication Technology (ICT) 101-1,000 employees

Questions

Right to work in Malaysia:

• Which of the following statements best describes your right to work in Malaysia?