
Quận 1, Hồ Chí Minh
Nghỉ trọn T7, CN
Hạn chót 18/10/2026
Đăng 5 ngày trước
Ít hơn 20 ứng viên
- Hands-on experience deploying and operating physical servers in a data centre or colocation environment. - Strong Linux administration and troubleshooting skills. - Practical experience with GPU servers, NVIDIA drivers, CUDA, and AI workloads. - Solid networking knowledge, including switching, routing, VLANs, firewalls, and VPNs. - Experience with containers, monitoring, backups, and infrastructure automation. - An understanding of rack power, cooling, hardware compatibility, and remote server management. - A disciplined approach to security, documentation, maintenance, and recovery. - The ability to work independently and coordinate with vendors and data centre providers. - Professional English for technical documentation and collaboration. - Willingness to perform on-site installation and maintenance when required.
- Operating AI inference and model-serving systems. - Managing multi-GPU workloads and high-speed networking. - Using infrastructure-as-code and configuration-management tools. - Supporting environments with workload isolation and availability requirements.
We are building our own GPU infrastructure to run AI models, support AI-driven software development, and power AI capabilities in our software products. We are looking for a hands-on engineer to build this infrastructure in a colocation data centre and take responsibility for its ongoing operation. Your Responsibilities Plan and Build the Infrastructure • Translate AI workload requirements into GPU, compute, storage, and networking configurations. • Evaluate hardware compatibility, supplier proposals, and costs. • Coordinate procurement, delivery, installation, and commissioning. • Confirm rack space, power, cooling, connectivity, and access requirements with the colocation provider. • Install and configure servers, networking equipment, cabling, and remote management. • Maintain infrastructure documentation and asset inventories. Configure GPU and AI Systems • Configure and maintain Linux servers, GPU drivers, CUDA environments, and container runtimes. • Deploy and maintain model-serving infrastructure in collaboration with the AI and engineering teams. • Diagnose GPU, memory, storage, and network performance issues. • Benchmark workloads and improve resource utilisation. • Automate deployment and configuration to make environments reproducible. Manage Networking and Security • Configure network segmentation, firewalls, VPNs, and secure administrative access. • Implement access controls, credential management, system hardening, and patching. • Separate workloads and environments according to product and security requirements. • Troubleshoot connectivity issues with infrastructure providers. Own Reliability and Operations • Establish monitoring and alerting for hardware health, GPU utilisation, capacity, and service availability. • Implement backup and recovery procedures and test restoration. • Maintain operational runbooks and troubleshoot infrastructure incidents. • Coordinate hardware replacements, maintenance windows, and remote-hands support. • Identify single points of failure and propose practical improvements. • Establish clear support coverage and escalation procedures with the team. Manage Capacity and Costs • Track utilisation, operating costs, and capacity constraints. • Recommend upgrades based on measured demand and performance. • Assess trade-offs between owned hardware, rented GPU capacity, and cloud services. • Plan expansion while avoiding unnecessary complexity and overprovisioning. • Ngày làm việc: • Giờ làm việc: • Cấp bậc: • Loại công việc:
Nếu bạn đang tìm kiếm vị trí AI Infrastructure Engineer GPU & Colocation tại Quận 1, Hồ Chí Minh, đây là cơ hội làm việc tại Công ty TNHH Sapawoo với mức lương cạnh tranh và môi trường làm việc chuyên nghiệp. Ngoài tin tuyển dụng này, Upzi còn cập nhật nhiều việc làm cùng lĩnh vực và địa điểm mỗi ngày.
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