Process Integration and Yield Engineering PhD Intern
Core
Develop and optimize semiconductor manufacturing processes, manage defect strategies, and enhance process yield in high-volume production environments.
Role type
PhD intern in process integration and yield engineering
Builds
Semiconductor manufacturing processes and integration flows
Domain
Semiconductor manufacturing / Physics / Electrical Engineering
Deliverable
production ML models | product features | dashboards & analysis | research | client delivery | infrastructure | physical/clinical work
Required skills
Microscopy techniques, Circuit design, Semiconductor device physics, Python scripting, Scan methodologies, Automatic test pattern generation
Preferred skills
Computer science algorithms, Solid state physics, Electronics/circuits design, Silicon process technologies, Image analysis software, Large visual computing models
Responsibilities
Develop and optimize module processes and integration flows, Analyze defect data and conduct experiments for yield improvement, Troubleshoot process flow issues and optimize metrology strategies, Apply data analysis techniques to improve process performance, Participate in continuous improvement efforts for production quality
Seniority
PhD student (2nd or 3rd year)
