Senior Scientist
2 weeks ago
• Lead a semiconductor device fabrication inline metrology team, and plan growth of this team into the next phase with a size of ~7 people over the next 3 years.
• Apply for grant fund to set up a best-in-class failure analysis capabilities including Atom Probe Tomography (APT) or equivalent techniques.
• Key role encompassing atomic scale investigation of defects in semiconductor materials & devices interfaces, particularly in quality improvement of Silicon Carbide (SiC), Gallium Nitride (GaN), and Indium Phosphide (InP) device materials.
• Establish measurement and detection recipes to ensure good inline process control.
• Improve measurement and detection strategy and methods to continuously strengthen performance.
• Identify and resolve measurement and detection issues and related problems.
• Define and implement measures to enhance stability, yield, and reliability.
• Plan and implement sustainable corrective actions to address measurement deviations.
• Plan and evaluate through supplier demos and tool evaluation to add inline measurement and failure analysis detection capabilities.
• Prioritize resources internally and/or through external suppliers to close any gap.
• Work with other fab teams in establishing statistical process control for all processes.
• Generate and present reports to both internal and external customers.
Requirements
• Master/PhD Degree in Electrical Engineering, Materials Science and Engineering, Chemical Engineering, Chemistry, or related fields
• >10 years semiconductor wafer fab experience for inline metrology and failure analysis. Experiences in SiC, GaN, and InP a plus.
• Broad semiconductor device materials knowledge and extensive hands-on experience on inline measurement and detection techniques is a must.
• Highly proactive, self-motivated, and results-oriented professional with the ability to make efficient contributions to and lead technical discussions.
• Proficient in teaching and knowledge sharing to junior staff members.
• Possess good interpersonal and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.
• Working knowledge and prior hands-on experience in Design of Experiments (DOE) methodologies, statistical root cause analysis, and problem-solving methods, is desired.
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