Product Engineer (Advance Data Analytics), Heterogeneous Integration Group (HIG), High Bandwidt[...]

1100 Micron SemiAsiaOP Pte Ltd

Singapore

On-site

SGD 60,000 - 80,000

Full time

14 days+

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Job summary

1100 Micron SemiAsiaOP Pte Ltd is seeking a skilled professional to develop and deploy innovative product-disposition solutions, ensuring high quality and low defects. The role involves utilizing advanced statistical tools and machine learning for data analysis, collaborating with various teams to enhance product workflows.

The ideal candidate will hold a Bachelor's or Master's degree in a relevant field, have at least 3 years of experience, and exhibit strong leadership and communication skills. This position is based on-site in Singapore, with potential international travel.

Qualifications

  • At least 3 years of experience in data analytics or data science preferred; outstanding fresh graduates are welcome.
  • Prior experience in Micron Product Engineering or semiconductor industry is a plus.
  • Excellent communication skills to present findings to non-technical stakeholders.

Responsibilities

  • Develop and deploy product-disposition solutions to reduce defects.
  • Utilize machine learning and AI for engineering data analysis.
  • Mentor and develop team members for growth.

Skills

Data analytics
Machine Learning
Statistical tools
Leadership
Communication

Education

Bachelor's or Master's degree in Electrical and Electronics Engineering, Statistics, or related fields

Tools

JMP
Tableau
Power BI

Job description

Key Responsibilities
  • Develop, validate and deploy product-disposition solutions (wormhole) to ensure quality and reduce Defects Per Million (DPM) through a comprehensive product disposition program/workflow.
  • Utilize in-house statistical tools, machine learning, and AI for engineering data analysis to enhance yields and reliability, integrating these improvements within the Dispo workflow.
  • Create a deviation alert system to monitor yield loss, characteristic/parameter trends, and wafer/die/cube shading.
  • Develop state-of-the-art algorithms, including Machine Learning and Deep Learning models, to advance data mining and pattern recognition for quality enhancement, yield improvement, wafer/die level screening and efficiency enhancement.
  • Actively mentor and develop team members to foster growth and development within the team and the organization.
  • Work closely with various cross-functional teams, including Fab, HBM Technology Development, HBM Design, System Development, and Quality/Reliability teams, to ensure the holistic development and successful shipping of end products.
  • Promote innovation and drive changes that provide a technical advantage over competitors, maintaining the company's competitive edge in the market.
  • Collaborate with cross-functional teams to develop, deploy, and validate AI/ML models aimed at enhancing key performance indicators (KPIs) such as Quality, Cost, Cycle Time, and Scale.
Qualifications
  • Bachelor's or Master's degree in Electrical and Electronics Engineering, Statistics, or related engineering fields.
  • At least 3 years of experience in data analytics or data science is preferred; outstanding fresh graduates are welcome to apply.
  • Prior experience in Micron Product Engineering or the semiconductor industry is a plus.
  • Demonstrate strong leadership and technical skills with a deep understanding of data analytics, data extraction, and analysis tools such as JMP, Tableau, and Power BI.
  • Excellent communication skills to present findings and insights to non-technical stakeholders.
  • Proven track record of collaborative work within/across teams to address sophisticated business and engineering problems.
  • Experience in mentoring and coaching team members to develop their skills.
  • Dedicated and highly motivated with a flexible approach towards adapting to different roles in a dynamic working environment (from leading the team to leading technical programs).
  • Strong sense of responsibility and accountability towards assigned role with professional work ethic.
  • Work on site in Singapore with international travel to Taiwan.
EEO and Legal

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

Application Process Assistance

To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_sg@micron.com.

Notice of AI and Fraud

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.

Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

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