Technical Project Manager

What You'll be doing

• Manage AI infrastructure and GPU cluster projects, including project planning, execution scheduling, progress monitoring, and end-to-end delivery.
• Define project scope, milestones, deliverables, roles and responsibilities, and acceptance criteria; develop and maintain comprehensive project plans.
• Manage critical paths, resources, dependencies, risks, issues, and changes, ensuring responsible stakeholders take timely action through closure.
• Coordinate AI infrastructure, data center, vendor, and NVIDIA ecosystem partner teams to ensure smooth project execution.
• Track the progress of hardware procurement, transportation, installation, and deployment, as well as the readiness of racks, power, cooling, cabling, networking, and other critical infrastructure.
• Lead project meetings and drive system integration, cluster validation, performance testing, issue resolution, and handover to production operations.
• Provide customers and management with regular updates on project progress, milestones, and risks, and support on-site project delivery across the APAC region.

What We Need to See:

• Bachelor's degree (BS) or above in Management, Computer Science, Information Technology, Engineering, or a related field.
• At least 3 years of experience in technical project management or project delivery, with solid knowledge of scope, schedule, milestone, risk, issue, and stakeholder management.
• Proficiency in both Chinese and English, with the ability to lead meetings, conduct business communications, and prepare project documentation in both languages.
• Experience coordinating across departments, companies, or regions, with the ability to drive customers, internal teams, and vendors toward successful delivery.
• Ability to understand AI infrastructure architectures, implementation plans, and test results, and translate them into actionable project plans.
• Strong sense of ownership and a results-oriented mindset, with the ability to manage multiple concurrent projects. Familiarity with Jira, Microsoft Project, Smartsheet, or similar tools.

Preferred Qualifications:

• Project experience in data centers, GPU clusters, HPC, cloud computing, or AI infrastructure.
• Experience working at cloud service providers such as AWS, Oracle, Microsoft Azure, or Google Cloud, or delivering projects in collaboration with these providers.
• Experience working with NVIDIA Cloud Partners (NCPs), NVIDIA Partner Network (NPN) partners, OEMs, system integrators, or data center operators.
• Familiarity with servers, GPUs, DPUs, storage systems, and data center infrastructure.
• Understanding of hardware deployment, network and storage integration, system validation, performance testing, and production handover processes.
• Experience delivering multi-vendor, multi-site, or cross-border infrastructure projects.
• Project management or Agile certifications such as PMP, PgMP, PRINCE2, PMI-ACP, CSM, or PSM.
• Certifications such as ITIL, CDCP/CDCS, Uptime Institute, NVIDIA AI Infrastructure, or other relevant data center certifications.
• Cloud architecture or infrastructure certifications from AWS, Microsoft Azure, Google Cloud Platform (GCP), or Oracle Cloud Infrastructure (OCI).