全职 R-D Engineer – Robotics, AI - Intelligent Construction Systems 工作, 薪水 up to HKD 30,000, Dragon Rise Construction Technology Limited Kowloon, Hong Kong 公司招聘中 - Ricebowl

About the Role

Dragon Rise Construction Technology Limited is developing intelligent construction technologies combining robotics, artificial intelligence, computer vision, sensing, automation and connected systems for construction-site applications.

We are seeking an R&D Engineer to support the research, development, prototyping and validation of new and substantially improved intelligent construction systems.

The role will involve hands-on technical development across areas including AI-based safety systems, machine vision, construction robotics, robotic welding, intelligent sensing and related automation technologies.

Key Responsibilities

• Conduct research and development of robotics, automation, AI and intelligent construction technologies.
• Develop, integrate and evaluate computer-vision and machine-vision functions for construction-site applications.
• Support the development of AI-based personnel, object and hazard detection systems.
• Conduct R&D on multi-camera and 360 vision systems, including calibration, image processing, blind-spot reduction and proximity-risk detection.
• Develop and evaluate robotic-arm applications, including motion planning, trajectory control and process automation.
• Support the development and optimisation of robotic welding systems, including welding path planning, torch positioning, operating parameters, repeatability and process consistency.
• Investigate sensor, vision and control-system integration for intelligent construction equipment.
• Develop and test prototype hardware and software systems.
• Design and conduct technical experiments, laboratory testing and field validation.
• Analyse experimental results, system performance, false-positive/false-negative behaviour and technical limitations.
• Identify and resolve technological uncertainties arising from deployment in variable construction-site environments.
• Improve system reliability under factors such as changing lighting, dust, vibration, weather, obstruction and variable equipment geometry.
• Prepare technical reports, R&D records, test results and design documentation.
• Work with internal engineering and project teams to translate R&D outcomes into practical construction applications.

R&D Areas

The successful candidate may participate in research and development projects involving:

• Artificial intelligence and computer vision
• 360 mobile-plant safety and proximity-detection systems
• Machine vision and intelligent sensing
• Construction robotics and automation
• Robotic welding and automated fabrication
• Robot motion and path-planning systems
• Edge-computing applications
• IoT and connected construction equipment
• Smart-site safety technologies
• Prototype development and field validation

Requirements

Bachelor / Master degree in one of the following or a related STEM discipline:

• Robotics Engineering
• Mechatronic Engineering
• Mechanical Engineering
• Electrical / Electronic Engineering
• Computer Engineering
• Computer Science
• Automation / Control Engineering
• Artificial Intelligence
• or another relevant science, technology, engineering or mathematics discipline
• Strong interest in research and development, robotics, AI or construction technology.
• Knowledge or experience in one or more of the following would be advantageous:
• Python / C++ or similar programming languages
• Computer vision / OpenCV
• AI / machine-learning models
• ROS / robotic systems
• Industrial robotic arms
• Motion control
• Welding automation
• Sensors and embedded systems
• Edge computing
• IoT systems

Able to conduct structured technical testing, analyse results and document findings.

Able to work independently as well as within a multidisciplinary engineering team.

Employment Type

Full-time

Pay: $18,000.00 - $30,000.00 per month

Benefits:

• Dental insurance
• Medical Insurance
• Paid sick time
• Paid time off

Education:

• Bachelor's Degree (Required)

Work authorization:

• Hong Kong (Required)

Work Location: In person