Senior SiC Epitaxy Process Engineer for Power Devices
A*STAR - Agency for Science, Technology and Research
Singapore
On-site
SGD 50,000 - 70,000
Full time
14 days+
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Job summary
A*STAR - Agency for Science, Technology and Research is seeking a talented Process Engineer/Senior Process Engineer for their epitaxy team in Singapore. This role focuses on SiC epitaxy process development for next-generation power devices. The successful candidate will design innovative processes, perform characterization, and work collaboratively to address technical challenges in the semiconductor industry. Candidates should have a relevant degree and 2-3 years of experience in CVD processes, with skills in data analysis and relevant characterization tools.
Qualifications
2 to 3 years of experience in semiconductor CVD process, preferably in epitaxy.
Strong knowledge of semiconductor processes and characterization techniques.
Excellent communication, collaboration, and self-motivation skills.
Responsibilities
Design and implement innovative SiC epitaxial processes.
Perform metrology and characterization of SiC epilayers.
Conduct optical inspections of extended defects in SiC epilayers.
Design experiments to minimize defect densities in SiC.
Develop advanced epitaxy processes for cutting-edge devices.
Skills
Semiconductor CVD process
Data analysis
Technical communication
Critical thinking
Collaboration
Education
Bachelor's or Master's degree in Electrical/Electronic Engineering, Materials Science, Physics, Chemistry
Tools
Excel
JMP
Origin
SEM
TEM
XRD
Job description
A*STAR - Agency for Science, Technology and Research is seeking a talented Process Engineer/Senior Process Engineer for their epitaxy team in Singapore. This role focuses on SiC epitaxy process development for next-generation power devices. The successful candidate will design innovative processes, perform characterization, and work collaboratively to address technical challenges in the semiconductor industry. Candidates should have a relevant degree and 2-3 years of experience in CVD processes, with skills in data analysis and relevant characterization tools.