5 часов назад
Engineer I-Yield Enhancement (Semiconductor)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Engineer I-Yield Enhancement (Semiconductor): Improving semiconductor product yield through wafer-process analysis, failure analysis, DOE interpretation, and process optimization with an accent on manufacturing data and test analysis. Focus on developing automated reporting and machine learning tools, identifying root causes in defective wafers and devices, and driving corrective actions with cross-functional engineering teams.
Location: Singapore - Keppel Rd
Company
is a global semiconductor technology company developing products and solutions that power connected and embedded technologies.
What you will do
- Monitor and analyze wafer-process data to identify opportunities for product-yield improvement.
- Conduct root-cause failure analysis on defective wafers and semiconductor devices.
- Collaborate with process engineers and cross-functional teams to implement corrective actions and optimize processes.
- Analyze and interpret Design of Experiments (DOE) data and support new-product introduction projects.
- Develop scripts, software tools, and basic machine learning tools for data cleaning, feature engineering, yield analysis, and automated reporting.
- Prepare technical reports and present findings in yield-review and problem-solving meetings.
Requirements
- Bachelor’s degree in Electrical/Electronics, Chemical, Mechanical Engineering, Materials Science, Physics, or a related field.
- 0–2 years of relevant experience in semiconductor manufacturing, wafer processing, or yield engineering; internships and academic projects count.
- Understanding of wafer-fabrication processes and semiconductor device physics.
- Experience or coursework in failure-analysis techniques, including electron microscopy, elemental spectroscopy, or electrical testing.
- Strong statistical-analysis and problem-solving skills with excellent communication and teamwork abilities.
- Experience with Power BI, JMP, or R.
Nice to have
- Familiarity with statistical process control (SPC) and yield-management systems.
- Programming experience with Python, VBA, SQL, or a similar language for data analysis.
- Knowledge of cleanroom protocols and safety procedures.
- Experience building machine learning models.
Culture & Benefits
- Full-time employment with a global organization.
- Travel requirement of 0%–25%.
- Culture emphasizing trust, empowerment, respect, diversity, communication, employee development, and community.
- Access to leadership and career-growth programs.
Hiring process
- Submit a resume and a brief cover letter outlining relevant experience and interest in the role.
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