Equipment Engineer (AI & Data Analytics)
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Before you apply
LocationSGP - Woodlands
Work modeon-site
Typefull-time
SeniorityEntry
DepartmentEngineering
Company size10,000+ people
PostedOct 21, 2026 · 2w ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
Analyze equipment and manufacturing data to identify trends, optimize performance, and support predictive and preventive maintenance strategies
Leverage AI tools, automation technologies, and digital solutions to improve equipment reliability, efficiency, and productivity
Monitor key equipment performance metrics and translate complex data into actionable insights and improvement initiatives
Drive equipment performance improvements by combining hands-on troubleshooting with data-driven analysis to resolve technical and operational issues
Collaborate with cross-functional engineering teams on equipment, automation, and smart manufacturing projects
Support continuous improvement initiatives focused on operational excellence, manufacturing efficiency, and technology adoption
Maintain equipment knowledge, documentation, and best practices to support sustainable long-term performance
Bachelor's degree in Electrical / Electronic Engineering, Computer Engineering, Data Analytics, Mechanical Engineering or any related field
Prior related internship or co-op experience
Demonstrated prior leadership experience in the workplace, school projects, competitions, etc.
Project management skills, i.e., the ability to innovate and execute on solutions that matter; the ability to navigate ambiguity
Strong interest in leveraging AI tools and emerging technologies to enhance productivity, streamline workflows, and support effective decision-making
Strong data analytics and problem-solving skills
Ensure compliance with Environmental, Health, Safety & Security (EHS&S) requirements and promote a strong safety culture
Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs
Perform Normal / Swing / Day & Night shift (dependent on project and scope)
Skills
Python
AI
AWS
PostgreSQL
About GF
GlobalFoundries (GF) is a leading manufacturer of essential semiconductors, enabling AI at scale from the cloud to the physical world. Through deep partnerships with customers, GF delivers differentiated, power‑efficient and high‑performance solutions for high‑growth markets. With global manufacturing operations across the U.S., Europe and Asia, GF is a trusted and holistic technology partner for customers around the world. GF’s talented, global team remains focused every day on security, longevity and sustainability. For more information, visit www.gf.com.
Why GF
Benefits
Your work will have a direct impact in our Fab Operations, in building out our platforms of purpose-built technologies such as smart mobile devices, personal computing, home and industrial IoT, automotive and more. You will have access to the latest technological developments at GF Labs, with opportunities for patent submissions, presenting your ideas on a global platform, and enjoy GF-wide collaboration across our fabs and offices around the world.
Summary of Role:
As an Equipment Engineer within our Cleantech team, you’ll work at the intersection of advanced manufacturing, equipment engineering, data analytics, and AI-driven optimization. In addition to supporting and improving semiconductor manufacturing equipment, you’ll leverage machine data and analytics to understand equipment behavior, identify performance trends, and drive smarter, data-driven manufacturing decisions.
Candidates who like dismantling and assembling parts are welcome. Candidates without prior work experience are welcome to apply. Comprehensive training and development will be provided.
Essential Responsibilities include:
•
Analyze equipment and manufacturing data to identify trends, optimize performance, and support predictive and preventive maintenance strategies.
•
Leverage AI tools, automation technologies, and digital solutions to improve equipment reliability, efficiency, and productivity.
•
Monitor key equipment performance metrics and translate complex data into actionable insights and improvement initiatives.
•
Drive equipment performance improvements by combining hands-on troubleshooting with data-driven analysis to resolve technical and operational issues.
•
Collaborate with cross-functional engineering teams on equipment, automation, and smart manufacturing projects.
•
Support continuous improvement initiatives focused on operational excellence, manufacturing efficiency, and technology adoption.
•
Maintain equipment knowledge, documentation, and best practices to support sustainable long-term performance.
•
Ensure compliance with Environmental, Health, Safety & Security (EHS&S) requirements and promote a strong safety culture.
Other Responsibilities:
•
Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.
•
Perform Normal / Swing / Day & Night shift (dependent on project and scope)
Required Qualifications:
•
Education – Bachelors degree in Electrical / Electronic Engineering, Computer Engineering, Data Analytics, Mechanical Engineering or any related field.
Preferred Qualifications:
•
Prior related internship or co-op experience
•
Demonstrated prior leadership experience in the workplace, school projects, competitions, etc.
•
Project management skills, i.e., the ability to innovate and execute on solutions that matter; the ability to navigate ambiguity.
•
Strong interest in leveraging AI tools and emerging technologies to enhance productivity, streamline workflows, and support effective decision-making.
•
Strong data analytics and problem-solving skills
Legal
GlobalFoundries is an equal opportunity employer, cultivating a diverse and inclusive workforce. We believe having a multicultural workplace enhances productivity, efficiency, and innovation whilst our employees feel truly respected, valued and heard.
As an affirmative employer, all qualified applicants are considered for employment regardless of age, ethnicity, marital status, citizenship, race, religion, political affiliation, gender, sexual orientation and medical and/or physical abilities.
All offers of employment with GlobalFoundries are conditioned upon the successful completion of background checks, medical screenings as applicable and subject to the respective local laws and regulations.
No Recruitment Fee Policy: GlobalFoundries is committed to ethical and transparent hiring practices. Candidates will not be charged any fees at any stage of the recruitment process. Any request for payment related to a GlobalFoundries employment opportunity is unauthorized and should be reported immediately. All legitimate recruitment communications are conducted exclusively through official GlobalFoundries channels. To report concerns or suspected recruitment fraud, please contact our Ethics & Compliance Office at [email protected] or visit our official website.
The Ethics & Compliance mailbox is not a recruitment channel. CVs/resumes submitted to this mailbox will not be reviewed, processed, or considered for employment opportunities. Please apply through the official GlobalFoundries careers site only.
Information about our benefits you can find here: https://gf.com/about-us/careers/opportunities-asia