About QuettaFlow
QuettaFlow Technologies is a Singapore-based technology company focused on next-generation AI infrastructure solutions. We specialize in edge AI computing, immersion cooling technologies, GPU infrastructure, networking, power distribution, and data centre solutions. Our mission is to enable enterprises, government agencies, and industrial customers to deploy secure, efficient, and sustainable AI infrastructure closer to where data is generated.
Position Overview
We are seeking a Project Engineer who is passionate about AI infrastructure, data centres, and emerging computing technologies. This role will support technical projects from pre-sales consultation through deployment and commissioning, working closely with customers, distributors, technology partners, and internal teams.
The ideal candidate should possess a strong understanding of data centre infrastructure, server technologies, networking, power and cooling systems, and have a keen interest in AI computing platforms.
Key Responsibilities
- Support deployment and implementation of AI infrastructure projects.
- Coordinate technical activities between customers, distributors, vendors, and engineering teams.
- Assist in designing AI computing solutions involving GPU servers, storage, networking, and cooling systems.
- Participate in customer meetings and technical discussions.
- Prepare technical proposals, system architecture diagrams, and deployment documentation.
- Manage project schedules, milestones, and technical deliverables.
- Coordinate factory acceptance tests (FAT) and site acceptance tests (SAT).
- Support installation, commissioning, troubleshooting, and maintenance activities.
- Work with global technology partners and OEM manufacturers.
- Ensure compliance with customer requirements and industry standards.
- Provide post-deployment technical support and project follow-up.
Technical Areas
The successful candidate will gain exposure to:
- AI Computing Infrastructure
- NVIDIA GPU Platforms
- Edge AI Solutions
- Private AI Deployments
- Data Centre Infrastructure
- Immersion Cooling Technologies
- Power Distribution Systems
- Networking Technologies
- High-Performance Computing (HPC)
- AI Factory and AI Data Centre Deployments
Requirements
- Diploma or Degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Information Technology, or related disciplines.
- 2–5 years of relevant experience in: Data Centers, IT Infrastructure, System Integration, Network Engineering, Industrial Automation, Critical Infrastructure
- Understanding of server hardware, networking, storage, and power systems.
- Familiarity with data centre environments and infrastructure requirements.
- Experience managing technical projects is preferred.
- Ability to read technical drawings and architecture diagrams.
- Strong problem-solving and communication skills.
- Willingness to travel regionally when required.
Preferred Qualifications
- Knowledge of NVIDIA GPU platforms.
- Experience with HPC or AI infrastructure.
- Understanding of liquid cooling or immersion cooling technologies.
- Familiarity with Schneider Electric, Vertiv, Eaton, Dell, Supermicro, Lenovo, HPE, or similar ecosystems.
- Basic understanding of cybersecurity and data sovereignty requirements.
- PMP, CDCP, CDCS, CCNA, or relevant certifications would be advantageous.
What We Offer
- Opportunity to work in one of the fastest-growing sectors: AI Infrastructure.
- Exposure to cutting-edge AI computing and immersion cooling technologies.
- Regional and international project opportunities.
- Direct interaction with global technology partners and customers.
- Career growth into Technical Manager, Solutions Architect, or Regional Project Manager roles.
Pay: $7,000.00 - $12,000.00 per month
Benefits:
Education:
- Bachelor's or equivalent (Preferred)
Experience:
- HPC or AI infrastructure: 3 years (Preferred)
Willingness to travel:
Work Location: Remote