Naval Systems Maintenance Engineer - AI & Networking

COMBUILDER PTE LTD; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

COMBUILDER PTE LTD is seeking a highly skilled Engineer to join our team at Changi Naval Base, Singapore. The successful candidate will handle preventive and corrective maintenance of USVs and related naval systems, leveraging networking, software, and digital service expertise.

The role requires staying current with unmanned maritime technologies and adopting AI, machine learning, and automation tools to deliver reliable operations and training to customers.

Qualifications

• Diploma or degree in Electronics Engineering, IT, or Digital and Network Engineering.
• Certifications with electronics modules may apply.
• Ex-RSN personnel with electronics experience may apply.
• Experience in electrical works is a plus.
• Familiarity with radars, communications, and weapon systems advantageous but not required.

Responsibilities

• Perform maintenance and troubleshooting of naval systems to ensure optimal performance.
• Provide technical support and training to customers and end-users.
• Stay updated with unmanned systems and maritime technologies.
• Adopt new technologies including AI, machine learning, and automation tools.

Skills

Networking concepts

Digital services

Electronics engineering

Maintenance & troubleshooting

Problem-solving

Education

Diploma/Degree in Electronics Engineering/ IT/ Digital and Network Engineering

Certifications with electronics modules

Ex-RSN electronics experience

Electrical works experience

Experience with radars, comms, weapon systems

Tools

Networking hardware

Naval communications equipment

Job description

COMBUILDER PTE LTD is seeking a highly skilled Engineer to join our team at Changi Naval Base, Singapore. The successful candidate will handle preventive and corrective maintenance of USVs and related naval systems, leveraging networking, software, and digital service expertise.

The role requires staying current with unmanned maritime technologies and adopting AI, machine learning, and automation tools to deliver reliable operations and training to customers.