Engineer, Equipment Engineering

Simpang Ampat , Malaysia
full-time On-site

TLDR

Optimize and troubleshoot test equipment to ensure over 99.3% availability and maximize equipment uptime using data analytics and real-time monitoring tools.

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.
  • 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:

  • Experience in test equipment engineering, specifically in SSD manufacturing or a related industry, with a strong emphasis on sustaining and maintenance will be an added advantage.      
  • Strong understanding of electrical circuits, digital/analog electronics, and instrumentation.
  • Knowledgeable in utilizing data analytics for equipment monitoring, troubleshooting, and maintenance optimization.,
  • Able to maintain and troubleshoot 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.
  • 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.       

Sandisk 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.

Sandisk 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.

NOTICE TO CANDIDATES: Sandisk has received reports of scams where a payment is requested on Sandisk’s behalf as a condition for receiving an offer of employment. Please be aware that Sandisk and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Sandisk Ethics Helpline or email [email protected].

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