AI Project Manager (NVIDIA)

TOSS-EX PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A tech company in Singapore is seeking an AI Infrastructure Project Manager to oversee design and deployment of AI infrastructure projects. The role includes managing cross-functional teams, ensuring project delivery, and technical troubleshooting. Candidates should have at least 5 years of experience in IT project management, a degree in a related field, and relevant project management certification. Strong knowledge of NVIDIA computing platforms is essential.

Qualifications

• 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).
• Project management certification such as PMP or PRINCE2 is required.

Responsibilities

• Lead the pre-sales solution design process for AI servers.
• Manage end-to-end AI infrastructure deployment projects.
• Diagnose and resolve technical issues within AI infrastructure environments.

Skills

Leadership

Problem-solving

Stakeholder management

Teamwork

Adaptability

Customer-focused mindset

Proficiency in English

Education

Bachelor's degree in Computer Science or related field

Tools

NVIDIA computing platforms

Server hardware architectures

Job description

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.