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Project Engineer (AI Infrastructure & Data Centre Solutions)

External
QUETTAFLOW TECHNOLOGIES PTE. LTD. logoQuettaflow Technologies · Ayer Rajah Crescent, Singapore
S$42K–S$84K/yrFull-timeUnknown1w ago
Information Technology
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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.

Requirements

  • Diploma or Degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Information Technology, or related disciplines.
  • 2-5 years of relevant experience in:
  • Data Centres
  • 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.
  • 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.

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