该职位来源于猎聘 Job Description
- Defines roadmaps to meet requirements, goals and milestones for incoming technology transfer.
- Defines and establishes flow, procedures, and equipment configuration for the module.
- Extracts insights from structured and unstructured data by quickly synthesizing large volumes of data, and applying statistics and machine learning, and may using coding techniques (e.g. SQL, python, etc.).
- Owns sustaining and continuous improvement of quality and integrated defect and parametric measurements in startup and high-volume manufacturing environment.
- Drives low yield analysis and yield improvement activities with both internal and external stakeholders.
- Ensures continuous improvement programs are in place to prevent quality, line yield, and sort yield excursions.
- Performs quality and reliability risk assessments for potentially discrepant manufacturing material as well as for process changes. Qualifications Graduated in 2025 or earlier, must possess a Ph.D. degree in Electrical Engineering, Materials Science, Physics, Chemistry or Chemical Engineering. Additional qualifications include:
- A proven history of technical problem solving through the creation of solutions that demonstrated creativity and out-of-box thinking.
- Excellent data extraction and analysis skills, and well versed in DOE principles.
- Ability to multi-task and be effective in providing timely solutions.
- Strong organizational and communication skills to manage tasks across Process Engineering areas to effectively execute and commit to deliverables.