ESSENTIAL DUTIES AND RESPONSIBILITIES:
- Perform routine and preventive maintenance on high-precision semiconductor assembly tools.
- Troubleshoot and repair mechanical, electrical, and software-related issues to minimize downtime.
- Ensure all tools are calibrated and functioning within specified parameters.
- Utilize AI and machine learning techniques to predict and prevent equipment failures.
- Implement and manage predictive maintenance programs to enhance tool reliability and reduce unplanned downtime.
- Monitor and analyze OEE metrics to identify areas for improvement.
- Implement strategies to increase equipment availability, performance, and quality output.
- Identify and implement process improvements to enhance tool performance, reliability, and efficiency.
- Collaborate with engineering and production teams to optimize tool utilization and reduce cycle times.
- Maintain accurate records of maintenance activities, tool performance, and spare parts inventory.
- Ensure all maintenance procedures comply with industry standards, safety regulations, and company policies.
- Lead or support the installation, qualification, and commissioning of new tools or tool upgrades.
- Provide technical expertise in the modification or retrofit of existing tools to meet production requirements.
- Provide technical training and support to junior maintenance staff and operators.
- Serve as the point of contact for complex tool-related issues and provide guidance on troubleshooting techniques.
REQUIRED
- Bachelor’s degree in Mechanical Engineering, Electrical Engineering, or a related field. Advanced degree or relevant certifications are a plus.
- Minimum of 7-10 years of experience in maintenance engineering within the semiconductor industry, with a focus on high-precision tools.
PREFERRED:
- Extensive experience with semiconductor assembly equipment, such as wire bonders, die bonders, flip-chip assembly tools, active alignment and laser soldering.
- Proven experience in AI-driven predictive maintenance and a strong understanding of OEE (Overall Equipment Effectiveness) principles.
- Experience in implementing and managing AI-driven predictive maintenance programs.
- Strong knowledge and practical experience in improving OEE within a semiconductor manufacturing environment.
- Familiarity with Industry 4.0 technologies and their application in manufacturing maintenance.
- Work is performed in a cleanroom environment with strict adherence to safety and contamination control procedures.
- May require occasional on-call or after-hours support in response to equipment breakdowns or emergencies.
- In-depth knowledge of semiconductor manufacturing processes, particularly related to assembly and packaging.
- Expertise in handling and maintaining high-precision tools used in semiconductor assembly, such as wire bonders, die bonders, and flip-chip assembly tools.
- Strong expertise in AI-driven predictive maintenance techniques, including data analysis, machine learning, and the application of predictive models.
- Ability to implement and optimize predictive maintenance systems to reduce equipment downtime and enhance operational efficiency.
- Deep understanding of OEE metrics and how they impact manufacturing performance.
- Expertise in Lean Manufacturing principles and their application to improve overall equipment effectiveness and production efficiency.
- Advanced troubleshooting skills for resolving mechanical, electrical, and software-related issues on high-precision equipment.
- Ability to diagnose and resolve complex equipment problems to minimize downtime and maintain tool performance.
- Knowledge of equipment automation, control systems, and their integration into manufacturing processes.
- Experience with CAD software and other engineering tools for designing and modifying equipment.
- Familiarity with cleanroom standards and contamination control procedures required in semiconductor manufacturing environments.
SKILLS:
- Proficient in troubleshooting mechanical, electrical, and software issues on high-precision equipment.
- Strong understanding of semiconductor manufacturing processes and equipment calibration.
- Experience with CAD software and equipment automation systems is preferred.
- Excellent problem-solving and analytical skills.
- Strong communication and interpersonal skills in English.
Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
