Engineer - PIE RDA

1 month ago

Singapore MICRON SEMICONDUCTOR ASIA OPERATIONS PTE. LTD. Full time
Roles & Responsibilities

Propel your engineering career with an exciting role in our Real-Time Defect Analysis (RDA) team. Be a key player in advancing NAND Yield Program through state-of-the-art data analytics. Collaborate with cross-functional teams, including Product Integration Engineering (PIE) and Process & Equipment Engineering (PEE) for defectivity solutions, and seize the opportunity to utilize the latest state-of-the-art inspection tools for detection, shaping the future of semiconductor manufacturing. Join us for a role that offers hands-on experie PIE nce, learning opportunities, and the chance to be part of shaping the future of technology

Responsibilities:

  • Hands-On Data Analytics: Develop foundational data analytics skills to contribute to defectivity improvement projects.
  • Data Mining Exploration: Gain exposure to advanced data mining techniques to identify and address deviations in machinery and processes.
  • Experimentation & Learning: Engage in designing experiments to identify defect sources and formation mechanisms, gaining valuable insights in semiconductor processes.
  • Collaborative Innovation: Work closely with engineers from diverse departments to contribute ideas and assist in implementing breakthrough solutions for defectivity improvement.
  • Cutting-Edge Inspection Tools: Utilize the latest state-of-the-art inspection tools for defect detection, contributing to advancements in semiconductor manufacturing.
  • Statistical Process Control Exposure: Learn to set appropriate control chart limits and utilize effective sampling for proactive intervention against machinery and process deviations.
  • Smart Sampling Techniques: Implement smart sampling methodologies to proactively detect and address deviations, ensuring efficient and effective root cause identification.
  • Defense Line Strengthening Projects: Contribute to strategic projects aimed at minimizing products at risk and enhancing overall product quality.
  • Case Review & Solutions: Participate in case reviews upon process deviations, assisting in identifying business process gaps and proposing solutions.
  • Innovation & Learning: Collaborate with the Data Science and Smart Manufacturing AI teams, contributing to the deployment of smart solutions and staying at the forefront of technological advancements.
  • Global Collaboration Exposure: Engage with global partners in the Micron Network, fostering collaboration and knowledge sharing.

Requirements:

  • Bachelor's Degree in Engineering: Hold a degree in any engineering discipline to apply theoretical knowledge to real-world scenarios.
  • Fresh Graduates or 1-5 Years of Experience: Open to energetic fresh graduates or candidates with 1-5 years of proven experience in the field.
  • Passion for Engineering: Showcase your enthusiasm for semiconductor manufacturing.

Team Collaboration: Demonstrate your ability to work well in a team, eager to learn and contribute to a dynamic work environment.

Working Location
1, North Coast Drive, Singapore 757432


Tell employers what skills you have

Team Collaboration
Sampling
Experimentation
Defense
Data Mining
Data Science
Business Process
Data Analytics
Process Control
Manufacturing

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