Yield Engineer - Optoelectronic Device Manufacturing

Primary Duties & Responsibilities


* Yield Monitoring & Analysis:
+ Track yield performance across production lines and quickly identify negative trends.
+ Use structured problem-solving techniques to investigate and resolve yield excursions.


* Data Mining & Analytics:
+ 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.


* Process & Device Expertise:
+ 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.


* Cross-Functional Collaboration:
+ 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.


* Customer Engagement:
+ Serve as a technical liaison with key customers to present yield updates, address concerns, and support audits or joint improvement projects.


* New Product Introduction (NPI):
+ 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.

Education & Experience


* 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.

Skills


* 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.

Working Conditions


* Periodic work in a class 100/1000 clean room


* Periodically wear full cleanroom attire (smock, mask, etc.)

Physical Requirements


* Stand for up to 2 hours at a time


* Lift up to 6-10 Pounds


* Push/Pull up to 6-10 pounds


* Sit for up to 2 hours at a time

Safety Requirements

All employees are required to ...