Technical Project Manager

What You'll be doing:

1. Manage AI infrastructure and GPU cluster projects, including project planning, execution scheduling, progress monitoring, and end-to-end delivery.

2. Define project scope, milestones, deliverables, roles and responsibilities, and acceptance criteria; develop and maintain comprehensive project plans.

3. Manage critical paths, resources, dependencies, risks, issues, and changes, ensuring responsible stakeholders take timely action through closure.

4. Coordinate AI infrastructure, data center, vendor, and NVIDIA ecosystem partner teams to ensure smooth project execution.

5. 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.

6. Lead project meetings and drive system integration, cluster validation, performance testing, issue resolution, and handover to production operations.

7. 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:

1. Bachelor's degree (BS) or above in Management, Computer Science, Information Technology, Engineering, or a related field.

2. 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.

3. Proficiency in both Chinese and English, with the ability to lead meetings, conduct business communications, and prepare project documentation in both languages.

4. Experience coordinating across departments, companies, or regions, with the ability to drive customers, internal teams, and vendors toward successful delivery.

5. Ability to understand AI infrastructure architectures, implementation plans, and test results, and translate them into actionable project plans.

6. 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:

1. Project experience in data centers, GPU clusters, HPC, cloud computing, or AI infrastructure.

2. Experience working at cloud service providers such as AWS, Oracle, Microsoft Azure, or Google Cloud, or delivering projects in collaboration with these providers.

3. Experience working with NVIDIA Cloud Partners (NCPs), NVIDIA Partner Network (NPN) partners, OEMs, system integrators, or data center operators.

4. Familiarity with servers, GPUs, DPUs, storage systems, and data center infrastructure.

5. Understanding of hardware deployment, network and storage integration, system validation, performance testing, and production handover processes.

6. Experience delivering multi-vendor, multi-site, or cross-border infrastructure projects.

7. Project management or Agile certifications such as PMP, PgMP, PRINCE2, PMI-ACP, CSM, or PSM.

8. Certifications such as ITIL, CDCP/CDCS, Uptime Institute, NVIDIA AI Infrastructure, or other relevant data center certifications.

9. Cloud architecture or infrastructure certifications from AWS, Microsoft Azure, Google Cloud Platform (GCP), or Oracle Cloud Infrastructure (OCI).