About the role
AI summarisedAs an IoT Engineer based in Singapore, you will design, build, and deploy Industrial IoT (IIoT) and machine vision solutions to support advanced packaging technology development and factory enablement. This role involves hands-on engineering from proof-of-concept through deployment, creating scalable and secure solutions that enhance quality, productivity, and early risk detection.
IDMOnsiteHIG
Key Responsibilities
- Develop and deploy end-to-end IIoT solutions, covering sensing strategy, edge compute, connectivity, data ingestion/storage, monitoring, and sustainment.
- Build machine vision solutions, including hardware selection (cameras/optics/lighting), image acquisition strategy, algorithm development, and performance validation.
- Collaborate cross-functionally with process, equipment, automation, quality, and IT/data platform teams to translate manufacturing problems into measurable signals and integrated factory solutions.
- Implement principled engineering practices, including requirements gathering, design reviews, coding standards, testing, documentation, and cybersecurity considerations.
- Troubleshoot issues in lab and factory environments, performing root-cause analysis and implementing corrective actions to improve system reliability.
- Contribute to technical planning by providing effort estimates, managing tasks, and communicating status/risks for timely action closure.
Requirements
- Bachelor’s degree or higher in Electrical/Electronics Engineering, Computer Engineering, Computer Science, Mechatronics, or related discipline (or equivalent practical experience).
- Hands-on experience delivering IoT/IIoT, automation, or machine vision solutions in industrial environments.
- Exposure to system integration and troubleshooting within industrial settings.
- Solid understanding of IoT architectures, including edge computing, connectivity, data ingestion, and device/data security fundamentals.
- Proficiency in Python and familiarity with software engineering practices (code reviews, testing, documentation).
- Strong analytical and problem-solving skills with clear communication abilities in a cross-cultural setting.
- Willingness to work in lab/factory settings while adhering to safety and change-control procedures.