SR ENGINEER, FAC MECHANICAL Singapore, Singapore

Micron Technology, Inc; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Micron Technology, Inc. in Singapore seeks an SR Engineer, FAC MECHANICAL, to transform Facilities Mechanical operations with AI and analytics in a 24/7 semiconductor environment.

You will develop and deploy AI-driven solutions to improve reliability, energy efficiency, and maintenance planning across HVAC, chillers, and cleanroom systems. You will collaborate with Controls, Automation, IT, and Operations to build data-driven insights, digital twins, and dashboards.

Qualifications

• Bachelor’s degree in Mechanical Engineering or Mechatronics required.
• Data Science/AI-related degree acceptable; 5+ years in AI for facilities is a plus.
• Experience in facilities mechanical systems, manufacturing, analytics, or AI solution deployment is preferred.

Responsibilities

• Collaborate with Facilities Mechanical, Controls, Automation, IT, and Operations to integrate smart technologies into HVAC, chillers, cooling towers, process cooling water, exhaust, scrubbers, boilers, CDA, and cleanroom air systems.
• Develop, deploy and sustain AI, machine learning, and data-driven solutions to improve reliability, maintenance effectiveness, and operational performance of Facilities Mechanical systems.
• Design and implement predictive maintenance models using equipment, sensor, SCADA, historian, and maintenance data to identify abnormal patterns, predict failures, and reduce unplanned downtime.
• Collaborate with I&C counterparts to build dashboards, analytical tools, and decision-support applications for maintenance planning, alarm management, asset health monitoring, spare optimization, project tracking, and energy performance management.
• Apply statistical analysis, anomaly detection, and root cause methodologies to large operational data sets to improve troubleshooting speed and accuracy for system events and production interruptions.
• Drive digitalization initiatives for maintenance workflows, including automated reporting, work order prioritization, knowledge capture, and AI-assisted troubleshooting guidance.
• Partner with engineering teams to create digital twins, simulation models, or asset performance models for capacity planning, scenario analysis, and system optimization.
• Identify opportunities to reduce electricity, water, waste, and operating costs through AI-enabled optimization strategies aligned to sustainability goals.
• Ensure data quality, model governance, cybersecurity awareness, and practical deployment of AI tools in accordance with company policies, engineering standards, and operational requirements.
• Translate business and operational problems into scalable AI use cases with measurable outcomes, and track value delivered through uptime improvement, labor productivity, energy savings, and cost avoidance.

Skills

Data analysis

Machine learning

Anomaly detection

Root cause analysis

Problem solving

Communication

Stakeholder management

Continuous learning

Education

Bachelor's degree in Mechanical Engineering or Mechatronics

Bachelor's degree in Data Science, Computer Engineering or AI

Tools

Python

SQL

Power BI

Excel VBA

SCADA

BMS

PLC

CMMS

IoT platforms

Job description

## SR ENGINEER, FAC MECHANICALSingapore, SingaporeApply NowFind out how well you match with this jobJob IDJR105261**Our vision is to transform how the world uses information to enrich life for all.**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.# **Fab10 Facilities Mechanical Artificial Intelligence Engineer**## **Job Description**You will play a critical role in transforming Facilities Mechanical operations through artificial intelligence, advanced analytics, and smart technologies. This role focuses on developing and deploying AI-driven solutions to improve system reliability, predictive maintenance, energy efficiency, operational decision-making, and workforce productivity across critical mechanical systems supporting semiconductor manufacturing. Your ability to bridge mechanical engineering knowledge with data, controls, and digital tools will help accelerate continuous improvement and enable department and company goals.## **Job Responsibilities:*** Collaborate with Facilities Mechanical, Controls, Automation, IT, and Operations teams to integrate smart technologies into critical systems such as HVAC, chillers, cooling towers, process cooling water, exhaust, scrubbers, boilers, CDA, and cleanroom air systems.* Develop, deploy and sustain AI, machine learning, and data-driven solutions to improve reliability, maintenance effectiveness, and operational performance of Facilities Mechanical systems.* Design and implement predictive maintenance models using equipment, sensor, SCADA, historian, and maintenance data to identify abnormal patterns, predict failures, and reduce unplanned downtime.* Collaborate with I&C counterparts to build dashboards, analytical tools, and decision-support applications for maintenance planning, alarm management, asset health monitoring, spare optimization, project tracking, and energy performance management.* Apply statistical analysis, anomaly detection, and root cause methodologies to large operational data sets to improve troubleshooting speed and accuracy for system events and production interruptions.* Drive digitalization initiatives for maintenance workflows, including automated reporting, work order prioritization, knowledge capture, and AI-assisted troubleshooting guidance.* Partner with engineering teams to create digital twins, simulation models, or asset performance models for capacity planning, scenario analysis, and system optimization.* Identify opportunities to reduce electricity, water, waste, and operating costs through AI-enabled optimization strategies aligned to sustainability goals.* Ensure data quality, model governance, cybersecurity awareness, and practical deployment of AI tools in accordance with company policies, engineering standards, and operational requirements.* Translate business and operational problems into scalable AI use cases with measurable outcomes, and track value delivered through uptime improvement, labor productivity, energy savings, and cost avoidance.* Support training and change management to help site teams adopt AI tools effectively and embed data-driven decision-making into day-to-day mechanical operations.* Enforce company environmental, safety, and health policies, procedures, risk assessments, and quality standards when designing and deploying AI-enabled solutions in the Facilities environment.## **Job Requirements:*** Bachelor’s degree in Mechanical Engineering, Mechatronics with minimum of 3 years experience in Facilities Mechanical Systems* Bachelor’s degree in Data Science, Computer Engineering or Artificial Intelligence, with experience of developing AI & SMART solutions for Facilities Mechanical Systems with 5 years of experience can be considered* Relevant experience in Facilities, manufacturing, industrial automation, predictive maintenance, analytics, or AI solution deployment in a technical environment.* Strong understanding of mechanical utility systems such as HVAC, chilled water, cooling towers, exhaust, scrubbers, boilers, compressed air, process cooling water, or cleanroom systems* Knowledge of machine learning, predictive analytics, anomaly detection, data modeling, and applied statistics for industrial use cases.* Proficiency in data analysis and automation tools such as Python, SQL, Power BI, Excel VBA, or equivalent digital engineering tools.* Familiarity with SCADA, BMS, PLC, historian databases, CMMS, or IoT platforms used for equipment monitoring and maintenance decision-making.* Strong problem-solving capability with experience applying structured methodologies such as 8D, 5 Why, FMEA, or root cause analysis.* Ability to convert operational needs into technical requirements and deliver practical, scalable digital solutions with measurable business impact.* Effective communication and stakeholder management skills, with the ability to collaborate across engineering, operations, controls, IT, and leadership teams.* Strong documentation, analytical, logical, and critical thinking skills with a passion for continuous learning and technology adoption.* Awareness of data governance, cybersecurity, and responsible AI deployment in industrial or manufacturing environments is an advantage.* Ability to operate in a fast-paced, 24/7 manufacturing environment and support site priorities with urgency and discipline.**Working Location:**Fab10NXA, 1 North Coast Drive, Singapore 757432