Equipment Engineer (AI & Data Analytics)

GlobalFoundries inc.; Singapore; On-site; SGD 55,000 - 90,000; Full time

Job summary

GlobalFoundries is seeking an Equipment Engineer within our Cleantech team to bridge advanced manufacturing, equipment engineering, data analytics and AI-based optimization. You will study machine data to understand behavior, spot trends and drive data-driven decisions while supporting maintenance strategies.

Comprehensive training is provided; candidates without prior work experience are welcome to apply. A strong interest in AI tools and data analytics will help you thrive and contribute to

Qualifications

• Bachelor's degree in Electrical / Electronic Engineering or related field.
• Internship or co-op experience is a plus.
• Strong data analytics and problem-solving skills.
• Interest in leveraging AI tools to enhance manufacturing.

Responsibilities

• Analyze equipment and manufacturing data to identify trends and optimize performance.
• Leverage AI tools and digital solutions to improve reliability and productivity.
• Monitor key metrics and translate data into actionable insights.
• Support cross-functional projects on equipment and automation improvements.
• Maintain equipment knowledge and documentation; ensure safety compliance.
• Participate in continuous improvement initiatives and technology adoption.

Skills

Data analytics

Problem-solving

Leadership experience

AI interest

Education

Bachelors in Electrical / Electronic Eng

Job description

About GF

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

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

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.

Information about our benefits you can find here: https://gf.com/about-us/careers/opportunities-asia

We shape what's essential At GlobalFoundries you will find a vibrant work environment where collaboration and innovation thrive. Our diverse and global team shares a culture of respect and inclusivity, representing the best in the industry. We celebrate success together and are united by our dedication to excellence and our desire to improve and empower the world.