Semiconductor Process Optimisation Senior Engineer

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal. NUS Career Portal link: https://careers.nus.edu.sg/job/Semiconductor-Process-Optimisation-Senior-Engineer/33158-en_GB/ We regret that only shortlisted candidates will be notified. We are seeking an experienced Semiconductor Process Optimisation Senior Engineer to lead 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 to bring new technologies to volume production. Key Responsibilities Develop, design, and optimise process integration flow for silicon-based photonics devices. Design of Experiments (DOE) to optimise critical process parameters (throughput, yield, etc.). Collaborate with devices, integration, equipment, and reliability teams to enhance process capability. Drive technology transfer from R&D to manufacturing with optimised process windows. Prepare technical documentation, reports, and presentations for internal and external stakeholders. Why Join Us Join a high-impact engineering team driving semiconductor technology advancement. You will play a key role in shaping next-generation process capabilities while working in a collaborative and innovative-focused environment. Qualifications Bachelor’s, Master’s, or PhD in Electrical Engineering, Physics, Material Science, or related field 20+ years of semiconductor process engineering experience (R&D or manufacturing) Strong understanding of semiconductor fabrication process flows (lithography, etch, deposition, implantation, CMP, etc.) Extensive experience with die bonding, pick and place, advanced imaging sensors, optical components, advanced packaging methods Demonstrated experience in process optimisation 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 Preferred Qualifications Experience with advanced semiconductor nodes or III-V compound semiconductors Experience in the semiconductor industry, preferably in silicon photonics Strong publication or patent record in semiconductor process innovation Key Competencies Analytical thinking and structured problem-solving Innovation mindset with strong technical curiosity Data-driven decision making Strong communication and stakeholder management skills Ability to influence and lead technical changes Please be informed that only shortlisted candidates will be informed.