Job Summary
As a key member of the AI Services Division , the AI Infrastructure Project Manager will oversee the design and deployment of AI infrastructure projects.
This role is responsible for managing cross-functional teams and collaborating with external partners to ensure project delivery within defined cost, schedule, and quality parameters .
The ideal candidate will possess deep technical understanding of AI computing platforms—particularly the NVIDIA GPU ecosystem —combined with strong project management expertise.
Key Responsibilities
1.
Pre-Sales Technical Support
- Lead the pre-sales solution design process for AI servers and related hardware systems.
- Oversee Proof of Concept (POC) testing, performance optimization, and solution validation to ensure alignment with customers' business and technical objectives.
2.
Deployment Project Management
Manage end-to-end AI infrastructure deployment projects, ensuring seamless execution through:
- Leading teams to perform design reviews and site surveys .
- Overseeing point-to-point cabling plan development and validation.
- Developing comprehensive project plans , including timelines, resource allocation, and risk mitigation strategies.
- Conducting project kick-off meetings and coordinating with stakeholders across multiple levels.
- Managing project budgets, schedules, risks, and issues to ensure successful delivery.
- Driving clear communication across all project tiers—internal teams, customers, and partners.
- Ensuring timely and quality project deliverables that meet agreed specifications.
3.
Maintenance and Support
- Diagnose and resolve technical issues within AI infrastructure environments.
- Implement corrective actions through hardware replacement , software upgrades , or appropriate workarounds .
- Escalate issues to vendors or partners when advanced support is required.
Qualifications and Skills
- Bachelor's degree or higher in Computer Science, Electronics, Communications, Information Engineering , or a related discipline.
- Minimum 5 years of experience in IT systems integration or infrastructure project management .
- Strong familiarity with server hardware architectures (CPU/GPU, memory, storage, and networking).
- In-depth understanding of computing platforms such as NVIDIA, Intel, and AMD .
- Hands-on experience managing or contributing to large-scale NVIDIA AI infrastructure deployments , including any of B200, GB200, or GB300 .
- Excellent leadership, problem-solving, and stakeholder management skills.
- Strong teamwork orientation, adaptability, and customer-focused mindset.
- Proficiency in English, with the ability to read technical documents and conduct professional communications.
- Project management certification such as PMP , PRINCE2 , or an equivalent is required.