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Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.

Position Summary

As an IoT Engineer, 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. You will implement hands-on engineering work from proof-of-concept through deployment and sustainment, contributing to scalable and secure solutions that improve quality, productivity, and early risk detection. You will collaborate cross-functionally to translate manufacturing needs into measurable signals, robust data pipelines, and actionable insights, while operating with a strong safety mentality and a bias for practical, reliable delivery.

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.

Working Relationships

• Collaborate with operations, maintenance, and equipment suppliers to enable safe deployment and stable operation of IIoT/machine vision solutions with clear critical issue paths.

• Partner with process and integration teams to refine requirements, implement development plans, and drive technology readiness through pilot and scale-up.

• Work with metrology/inspection and quality partners to define measurement strategy, validate performance, and support response plans.

• Coordinate with distributed team members to align standards, share findings, and help scale guidelines across sites.

Qualifications

• 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.

Preferred Skills

• 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.

About Micron Technology, Inc.

We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.

To learn more, please visit micron.com/careers

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_sg@micron.com

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.

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