AI Infrastructure & Operations Engineer

AI Laboratory Infrastructure & Operations Engineer

About Us

We are an AI and Data Mining company developing. Our AI infrastructure includes NVIDIA GPU clusters, enterprise AI platforms, large-scale model training and inference environments, and intelligent AI workflow automation.

We are expanding our AI Laboratory and are looking for an experienced engineer to build and operate our AI computing environment.

Responsibilities

You will participate in the planning, deployment, operation, and maintenance of our AI laboratory infrastructure, including:

• Design, deploy, and maintain AI server and GPU infrastructure
• Install, rack, cable, commission, and maintain AI servers in data center environments
• Plan and execute AI infrastructure expansion, upgrades, and hardware lifecycle management
• Deploy and manage Linux servers
• Install, configure, and maintain NVIDIA CUDA, Docker, Kubernetes, and the AI software stack
• Deploy and optimize AI model training and inference environments
• Build and maintain AI agent platforms
• Develop AI workflows and automation pipelines
• Maintain AI computing clusters and GPU infrastructure
• Monitor system performance and optimize GPU utilization
• Monitor power distribution, cooling systems, and overall hardware health
• Troubleshoot AI server hardware, GPU, networking, storage, operating system, and software issues
• Support AI researchers and software engineers

Requirements

Required

• Strong Linux system administration experience
• Experience with AI server hardware deployment, installation, maintenance, and troubleshooting
• Experience with data center infrastructure, including power distribution, rack installation, cabling, cooling, and hardware commissioning
• Experience deploying and maintaining NVIDIA GPU servers
• Experience with Docker
• Experience with Python
• Experience with CUDA
• Experience with AI frameworks (PyTorch / TensorFlow)
• Familiar with LLM deployment
• Experience with Git
• Experience with enterprise networking (10/25/100Gb Ethernet or InfiniBand)
• Experience assembling, upgrading and repairing enterprise servers

Preferred

• Kubernetes
• Slurm
• Ansible
• GPU cluster management
• AI Agent Platforms
• LangChain
• MCP
• Vector Database
• RAG
• Workflow Automation
• CI/CD

Nice to Have

Experience with one or more:

• Multi-GPU training
• Distributed AI computing
• NVIDIA DGX
• AI Data Center
• Enterprise AI Infrastructure
• InfiniBand or other high-speed networking
• Storage systems (NAS / SAN)
• OpenAI API
• DeepSeek
• Qwen
• Llama

We Offer

• Competitive salary
• Flexible working environment
• Opportunity to work with cutting-edge AI technologies
• Career development in AI infrastructure and intelligent systems

Language

• English required
• Chinese is a strong advantage（Chinese (Mandarin) proficiency is highly preferred, as the role involves collaboration with our Chinese engineering teams and technical documentation.）