Senior Engineering Specialist (Media Equipment Maintenance) - #1125367

About Our Group

We are a dynamic equipment maintenance team providing technical support and services to Media Process and Production. We worked in a world’s largest state-of-the art magnetic media manufacturing environment with highly automated processes and advanced control systems.

We pride ourselves on delivering committed equipment performance and operational objectives through effective maintenance, technology, and innovation to help Seagate succeed. Our team is made up of committed, talented, and friendly people passionate about our job, believing in people well-being and people development.

New employee will have positive experiences with our comprehensive induction and training programs with buddy system.

About the Role

• Process Characterization & Troubleshooting: Identify and analyze key process input variables (KPIVs) affecting equipment performance. Map relationships between inputs and outputs (KPOVs) and conduct root cause analysis to resolve issues. 

• Data Analytics & AI: Utilize data analytics, machine learning, and AI/GenAI tools for advanced troubleshooting and to drive operational efficiency. 

• Continuous Improvement: Initiate and implement projects to improve equipment Overall Equipment Effectiveness (OEE), productivity, safety, and cost savings. 

• Lean Manufacturing & Safety: Deploy and sustain Lean Manufacturing programs. Support equipment safety initiatives and participate in audits (Customer, QMS, EHS). 

• Collaboration & Growth: Work closely with cross-functional teams, contribute ideas, and embrace opportunities for ongoing learning and career development. 

About You

• Self-motivated and positive working attitude.

• Team player with good problem-solving skill.

• Comfortable working in a cleanroom environment.

• Willing to work on office hours.

Your Experience Includes

• Education: Degree or Diploma in Mechanical, Electrical, Mechatronic Engineering, or related discipline. 

• Technical Skills: Strong proficiency in computer/IT and mathematics. Experience with data analytics, machine learning, and automation is highly valued. 

• Mindset: Self-motivated, creative thinker with a positive attitude. Effective team player with strong problem-solving and analytical skills. 

• Experience: Relevant experience in equipment maintenance, troubleshooting, or process improvement is an advantage.