Pipeline Robotics Software Engineer
Summary
The Pipeline Robotics Software Engineer develops software for underground pipeline inspection robots, focusing on embedded-to-software integration and AI-assisted crack detection. The role involves working with Python, C/C++, and various computer vision frameworks to support real-time monitoring and data management.
- Pipeline Robotics Software EngineerCompanyBonbon-X Limited is a robotics technology company specializing in underground pipeline inspection robots. We develop robotic systems for confined-space inspection, real-time visual data acquisition, AI-assisted crack detection, and pipeline condition assessment.PositionPipeline Robotics Software EngineerLocationHong Kong Science ParkEmployment TypeFull-time ContractSalary RangeHK$18,000 – HK$23,000 per month
Final package will depend on experience and technical capability.Job Highlights- Robotics software development for underground pipeline inspection robots
- Embedded-to-software system integration
- AI crack detection and real-time pipeline monitoring support
- Robot telemetry, inspection data workflow, and reporting system development
- Opportunity to work on real-world infrastructure and government-related robotic applications
- Conduct research on software modules for underground pipeline inspection robotic systems.
- Derive embedded-to-software communication between robot hardware, sensors, cameras, and ground station systems.
- Manage AI crack detection model development, data collection, labelling workflow, testing, validation, and deployment for real-time pipeline monitoring.
Requirements- Degree holder in Computer Engineering, Computer Science, Electronic Engineering, Robotics, Mechanical Engineering, Artificial Intelligence, Data Science, or other related STEM discipline.
- 1–3 years of experience in software development, robotics software, embedded systems, AI application, or engineering system integration. Fresh graduates with strong technical capability may also be considered.
- Basic knowledge of Python, C/C++, JavaScript, Node.js, MySQL, or related software development tools.
- Knowledge of robotics systems, embedded systems, computer vision, sensor data processing, or industrial inspection systems is an advantage.
- Experience in robotic systems, pipeline inspection, CCTV inspection, real-time monitoring, or infrastructure defect analysis is preferred.
- Experience in AI crack detection model development, model training, testing, deployment, or validation is a strong advantage.
- Experience with YOLO, CNN, Transformer-based vision models, OpenCV, PyTorch, TensorFlow, or related computer vision frameworks is a plus.
- Knowledge of ROS, SLAM, autonomous navigation, CAN communication, Ethernet communication, sensor fusion, or robot telemetry is an advantage.
- Good documentation, testing, debugging, and problem-solving skills.
- Willing to participate in field testing, robot deployment, and system integration work.
- Good command of Cantonese, Mandarin and English is preferred.
- Japanese language capability is an advantage, especially for overseas technical communication, supplier liaison, or Japan-related partnership development.
- Strong interest in robotics, infrastructure technology, AI inspection, and real-world engineering applications.
- Able to work with hardware, software, and field operation teams.
- Detail-minded, responsible, and willing to learn new technologies.
- Comfortable working in a startup environment with hands‑on engineering tasks.
- At Bonbon-X, you will work on practical robotics technology for underground infrastructure inspection. Our team develops pipeline inspection robots that help reduce human-entry risk, improve inspection efficiency, and support smart city infrastructure maintenance.
- The candidate will participate in R&D work involving robot software, embedded data communication, AI crack detection workflow, inspection data processing, and field validation.
- Our mission is to reduce the need for human-entry inspection in hazardous underground environments and improve the safety, efficiency, and accuracy of infrastructure inspection.