We are seeking an experienced Process Engineer for process innovation, continuous improvement, and advanced technology development initiatives. This role focuses on improving yield, performance, scalability, and cost efficiency across semiconductor fabrication processes.
The ideal candidate brings strong analytical capability, hands-on semiconductor process knowledge, and a passion for driving measurable improvements through data-driven methodologies, experimentation, and cross-functional collaboration.
Key Responsibilities· Develop, design and optimize process integration flow for Silicon based and lithium niobate based photonics devices
· Design of Experiments (DOE) to optimize critical process parameters (throughput, yield, etc.).
· Collaborate with device, integration, equipment, and reliability teams to enhance process capability.
· Drive technology transfer from R&D to manufacturing with optimized process windows.
· Prepare technical documentation, reports, and presentations for internal and external stakeholders.
Requirements
· Bachelor’s, Master’s or PhD in Electrical Engineering, Physics, Material Science or related field.
· 3+ years of semiconductor process engineering experience (R&D or manufacturing).
· Strong understanding of semiconductor fabrication process flows (lithography, etch, deposition, implantation, CMP, etc.).
· Demonstrated experience in process optimization and yield improvement.
· Hands-on experience with DOE, statistical modeling, and process capability analysis.
· Proficiency with data analysis tools such as Python, origin or similar.
· Experience leading cross-functional technical projects.
Please be informed that only shortlisted candidates will be informed.
Job Type: 2-Year Contract
Location: Kent Ridge Campus
Organisation: NUS Enterprise
Skills Required
- Bachelor's, Master's or PhD in Electrical Engineering, Physics, Material Science or related field
- 3+ years of semiconductor process engineering experience
- Strong understanding of semiconductor fabrication process flows
- Experience in process optimization and yield improvement
- Hands-on experience with DOE, statistical modeling, and process capability analysis
- Proficiency with data analysis tools such as Python, origin or similar
- Experience leading cross-functional technical projects
What We Do
NUS Enterprise is the entrepreneurial arm of the National University of Singapore, dedicated to advancing innovation and entrepreneurship by supporting students, researchers, and start-ups through education, incubation, and industry partnerships.
