ESSENTIAL DUTIES AND RESPONSIBILITIES: Ensure that test equipment is functioning optimally, achieving >99.3% slot-on availability and maintaining a high first pass yield. Perform routine maintenance, calibration, and troubleshooting of test systems to minimize downtime and ensure high reliability. Monitor real-time and historical data to detect issues, reduce failures, and maximize equipment uptime. Use data analytics to monitor test equipment performance, identify patterns, and anticipate potential issues before they impact production. Analyze test equipment data to improve test efficiency, reduce down times, and enhance tester performance. Implement real-time monitoring and diagnostic tools to ensure sustained optimal performance of test equipment. Analyze equipment performance data to optimize maintenance schedules and extend the life cycle of test equipment. Lead continuous improvement projects focused on sustaining and enhancing the efficiency and reliability of test equipment. Lead and mentor a team of engineers and technicians in sustaining tester, sharing best practices for maintenance and troubleshooting. Work closely with production, quality, and other cross-functional teams to ensure seamless operation and continuous improvement in testing. Provide detailed technical reports and presentations to management regarding equipment performance and improvement initiatives.
Required: Bachelor of Engineering (Hons) in Electrical / Electronics/ Mechanical / Mechatronic. Preferred: 3+ years of experience in test equipment engineering, specifically in SSD manufacturing or a related industry, with a strong emphasis on sustaining and maintenance. Proven track record of maintaining high slot-on availability and first pass yield in a high-volume production environment. Experience in utilizing data analytics for equipment monitoring, troubleshooting, and maintenance optimization., Expertise in maintaining and troubleshooting SSD test equipment, with a deep understanding of calibration, reliability, and maintenance protocols. Skills: Proficiency in data analysis tools (e.g., Python, R, SQL, MATLAB) for monitoring and optimizing equipment performance. Strong knowledge of predictive maintenance techniques, including AI-driven approaches to equipment reliability. Familiarity with SPC, DOE, and Six Sigma methodologies for continuous improvement. Strong leadership skills with the ability to mentor and guide junior engineers and technicians. Excellent problem-solving and decision-making abilities, with a focus on data-driven solutions. Strong communication skills, capable of collaborating with cross-functional teams and reporting to management.
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