Senior Engineer, Maintenance Engineering

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Responsible for HDD tooling automation across all cleanroom production area
• Provide technical support and troubleshooting for tooling and fixture maintenance including containment actions and long-term corrective solutions.
• Maintain strong knowledge of process flows.
• Monitor and drive performance using key indices such as Cpk MTBF and MTTR and respond promptly to any abnormalities.
• Support product and technology transfers between sites.
• Deliver technical training to technicians and manufacturing personnel in relevant areas.
• Provide guidance and supervision to the technical team to ensure effective execution.
• Ensure compliance with safety standards minimizing risks incidents and equipment damage.

Qualifications :

REQUIRED:

• Bachelors degree or higher in Mechanical Mechatronics Electrical Software Robotics Electronics Telecommunications Computer Engineering or related.
• 2 years of experience  in tool/machine design automation systems software development or PLC programming
• Strong proficiency in English communication and presentation
• Positive attitude with strong analytical and problem-solving skills
• Solid foundation in Artificial Intelligence (AI) data analytics automation systems and data mining techniques
• Familiarity with Digital Twin concepts for equipment process modeling or manufacturing systems

PREFERRED:

• Experience with C/C Python or related automation programming languages
• Experience developing or deploying Digital Twin applications for predictive maintenance process optimization or virtual commissioning
• Practical experience in data mining feature engineering and statistical analysis for manufacturing data
• Advanced proficiency in SolidWorks and ANSSYS including GD&T and tolerance analysis

SKILLS:

• Ability to coordinate with cross-functional teams and drive clear communication during tool/machine implementation
• Strong understanding of process and tool design principles including equipment release timing and manufacturing readiness
• Proven capability to create data-driven solutions to improve quality cost scrap rate yield and productivity
• Ability to apply Deep machine learning Digital Twin simulation and data analytics to automation and manufacturing challenges
• Experience using data mining and visualization tools (e.g. Power BI Python SQL Kibana JMP Minitab) is an advantage
• Strong active listening and technical questioning skills to identify true problem statements
• Ability to make logical fact-based decisions with consideration to both short-term and long-term business impact
• Demonstrated ability to achieve results through collaboration influence and coordination across teams

Additional Information :

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Remote Work :

No

Employment Type :

Full-time