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Manufacturing Engineers

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VISIONPOWER SEMICONDUCTOR MANUFACTURING COMPANY PTE. LTD. logoVisionpower Semiconductor Manufacturing · Tampines Industrial Avenue 1, Singapore
S$51K–S$84K/yrFull-timeUnknown1w ago
Data Analysis
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Responsibilities

  • Conduct in-depth analysis of production lines and promote cross-departmental cooperation to propose and implement improvement projects.
  • Utilize data analysis for effective management reporting.
  • Optimize and maintain automated production systems to enhance efficiency.
  • Supervise personnel and machinery while driving the achievement of production targets.
  • Education Qualification & Essential Experiences
  • Bachelor's or higher degree in engineering related fields
  • 1 - 3 years in manufacturing experience in semiconductor related field
  • Candidates with no experience welcome to apply
  • Key Skills and Attributes
  • Good interpersonal and communication skills to work effectively across functions and geographical teams with diverse background
  • Strong analytical and problem-solving skills to achieve positive results and outcome
  • Goal driven and an excellent team player that can work under pressure in a dynamic and fast-paced environment
  • Has a growth mindset, prioritizing adaptability, resilience, innovation, and ongoing learning to support business needs
  • VSMC promotes diversity and inclusivity in our workforce; and hiring will be conducted in phases.

Additional Information

About VSMC VisionPower Semiconductor Manufacturing Company Pte Ltd (VSMC) is a ew joint-venture 300mm semiconductor wafer manufacturing facility to be built in Singapore. We are looking for committed, resilient and passionate talents to launch a promising future that power the next generation devices and systems. If you share the same passion to pursue excellence, join us to make an impact and be part of something special! Role Summary You will be responsible to analysis of production lines to identify improvement, fostering cross-departmental collaboration for project implementation, and utilizing data analysis for management reporting. It involves optimizing automated production systems for efficiency, supervising personnel and machinery, and ensuring production targets are met.


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