About the role
AI summarisedSenior IoT Engineer role at Micron Technology in Singapore, focusing on designing, building, and deploying Industrial IoT (IIoT) and machine vision solutions for advanced packaging technology development and factory enablement. The role involves hands-on engineering from proof-of-concept to deployment, collaborating cross-functionally to improve quality, productivity, and early risk detection in semiconductor manufacturing.
IDMFull-timeHIG
Key Responsibilities
- Develop and deploy IIoT solutions end-to-end: sensing strategy, edge compute, connectivity, data ingestion/storage, monitoring, and sustainment (including data quality and traceability).
- Build machine vision solutions: support hardware selection (cameras/optics/lighting), image acquisition strategy, algorithm development, performance validation, and deployment readiness.
- Work with process, equipment, automation, quality, and IT/data platform team members to translate manufacturing problems into measurable signals and integrated factory solutions.
- Implement principled engineering practices: requirements gather, design reviews, coding standards, testing, documentation, change control, and cybersecurity considerations.
- Solve issues in lab and factory environments; perform root-cause analysis, implement corrective actions, and improve system reliability and observability.
- Contribute to technical planning and delivery: provide effort estimates, handle tasks, communicate status/risks, and support safe execution and timely closure of actions.
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, with exposure to system integration and troubleshooting.
- 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, CI/CD, and documentation).
- Strong analytical/problem-solving skills and clear communication in a cross-cultural environment.
- Willingness to work in lab/factory settings and follow safety, change-control, and operational procedures.
- Machine vision hardware/software experience (camera selection, lenses, lighting, calibration) and algorithm development (OpenCV or similar).
- Experience translating manufacturing/tool constraints into measurable signals and sensing strategies (e.g., camera, vibration, ESD/charge, IMU) to detect abnormal conditions and risk.
- Data engineering fundamentals: building reliable pipelines, data quality checks, traceability, monitoring/alerting, and scalable data access patterns.
- Embedded/edge prototyping and integration (e.g., Arduino, Raspberry Pi) and fixing networks/connectivity in factory environments.
- Working knowledge of basic project execution: breaking down work, handling dependencies, and communicating progress and risks.