Data Center Project Manager (GPU Computing)

Key Responsibilities

Lead the full lifecycle delivery of GPU computing data center projects, covering resource contracting, equipment delivery, rack deployment, platform commissioning, testing, acceptance, and ongoing operations.

Manage project schedule, cost, quality, and risks, ensuring timely and successful project delivery.

Coordinate closely with internal Procurement and Technical teams, and external vendors, landlords, and operators to resolve issues related to permits, customs clearance, power supply, construction, and site readiness.

Manage project changes, site documentation, testing reports, and acceptance documents, and coordinate project acceptance.

Provide regular project progress and risk reports to management.

Requirements

Bachelor's degree or above in Engineering Management, Computer Science, Telecommunications Engineering, or related fields.

Experience: 5+ years of project management experience in IDC, data centers, computing infrastructure, or cloud computing, with GPU data center deployment experience preferred.

Familiarity with GPU server deployment, data center power, cooling, fire protection, and other critical infrastructure.

Strong skills in project cost, schedule, quality, and risk management.

Excellent English communication skills and familiarity with IDC compliance requirements across different regions.

Willingness to undertake international travel and long-term overseas assignments.

Kuailu Technology is dedicated to building a one-stop AI-powered intelligent office system. With a low-code platform as its foundation and AI agents as the engine, it integrates a full-scenario office ecosystem encompassing AI-driven office work, collaboration, and meetings. The system covers all business scenarios, including HR, finance, procurement, administration, and CRM. By establishing a unified data foundation to replace multiple software systems, it breaks down internal information silos, enables seamless data flow across entire business processes, and activates core data assets related to people, capital, and materials. This transforms data into intelligent productivity, helping enterprises achieve low-cost, high-efficiency, and integrated smart office operations.