About The Position

The position involves monitoring and analyzing yield performance across production lines, utilizing structured problem-solving techniques to address yield excursions. The role requires deep dives into large manufacturing datasets using SQL, JMP, and other data analysis tools, as well as building and maintaining predictive yield models and applying machine learning techniques for early detection of defects or deviations. A strong understanding of semiconductor process flows and device physics for optoelectronic components is essential, along with collaboration with process engineers to refine process windows and reduce variability. The candidate will work closely with R&D, Manufacturing, Process Engineering, Equipment Engineering, and Quality teams to coordinate efforts and communicate results, leading cross-functional teams during yield improvement and cost reduction initiatives. Additionally, the role includes serving as a technical liaison with key customers to present yield updates, address concerns, and support audits or joint improvement projects. The candidate will also support the rapid ramp-up of new optoelectronic products, ensuring smooth transitions from development to production with high initial yields, conducting risk assessments, and driving DFM (Design for Manufacturability) recommendations.

Requirements

  • Bachelor's or Master's degree in Electrical Engineering, Materials Science, Applied Physics, Data Science, or a related field.
  • 3+ years of experience in semiconductor yield engineering, ideally in optoelectronic device manufacturing.
  • Proficiency in data analysis tools (JMP, Python, or R) and SQL for querying manufacturing databases.
  • Working knowledge of semiconductor processes and device fabrication techniques.
  • Familiarity with machine learning concepts and their application to yield prediction or defect classification.
  • Proven track record of cross-functional leadership and collaborative problem-solving.
  • Strong communication skills, including the ability to engage with customers and present complex findings clearly.
  • Experience with advanced yield modeling and SPC methodologies.
  • Exposure to high-volume production environments and rapid problem-resolution techniques.
  • Knowledge of laser diodes, photodetectors, VCSELs, or similar optoelectronic devices.

Responsibilities

  • Track yield performance across production lines and quickly identify negative trends.
  • Use structured problem-solving techniques to investigate and resolve yield excursions.
  • Perform deep dives into large manufacturing datasets using SQL, JMP, and other data analysis tools.
  • Build and maintain predictive yield models and apply machine learning techniques for early detection of defects or deviations.
  • Leverage a strong understanding of semiconductor process flows and device physics for optoelectronic components.
  • Collaborate with process engineers to refine process windows and reduce variability.
  • Work closely with R&D, Manufacturing, Process Engineering, Equipment Engineering, and Quality teams to coordinate efforts and communicate results.
  • Lead cross-functional teams during yield improvement and cost reduction initiatives.
  • Serve as a technical liaison with key customers to present yield updates, address concerns, and support audits or joint improvement projects.
  • Support rapid ramp-up of new optoelectronic products, ensuring smooth transitions from development to production with high initial yields.
  • Conduct risk assessments and drive DFM (Design for Manufacturability) recommendations.

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What This Job Offers

Industry

Computer and Electronic Product Manufacturing

Education Level

Bachelor's degree

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