Senior Engineer, Process Engineering (Defectivity)
ASM
| Company | ASM |
| Category | Uncategorised |
| Location | Singapore |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 29 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Step into a career with ASM, where cutting edge technology meets collaborative culture.
For over 55 years ASM has been ahead of what’s next, at the forefront of innovation and what’s technologically possible. With more than 4,500 ASMers representing 70 nationalities, our people and our advanced semiconductor devices are playing a crucial role in trends such as 5G, cloud computing, AI, and autonomous driving. But we’re more than just a tech company. We value diversity, inclusion and sustainability as we strive to make a positive impact on the world. Our development programs help support your growth, shaping your future and pushing the boundaries of innovation to unleash potential. Job's mission
As a Senior Process Engineer, Defectivity, you will play a key role in advancing semiconductor manufacturing technologies by driving defectivity reduction and process improvement initiatives across front-end wafer processing equipment. You will leverage your expertise in process engineering, contamination control, defect characterization, and data-driven problem solving to identify defect sources, improve equipment and process performance, and enhance product quality. Working closely with multidisciplinary teams, you will help develop innovative solutions that improve manufacturing reliability and enable the next generation of semiconductor devices.
What you will be working on
Lead investigations into defectivity issues affecting front-end wafer processing equipment and manufacturing processes.
Identify and resolve equipment-induced, process-induced, handling-induced, and material-induced defect mechanisms.
Analyze defect signatures using defect maps, spatial distributions, wafer trends, process data, and manufacturing performance metrics.
Apply structured problem-solving methodologies including DOE, statistical analysis, failure analysis, and root-cause investigation techniques.
Drive corrective and preventive actions and validate long-term effectiveness through data-driven verification.
Investigate contamination, particle generation, material interactions, mechanical sources, environmental influences, and wafer handling-related defects.
Develop a deep understanding of defect generation mechanisms throughout wafer movement, process execution, metrology, inspection, and automation systems.
Partner with engineering teams to improve defect performance, process robustness, equipment reliability, and manufacturability.
Utilize advanced defect characterization and analytical techniques to determine defect origin, composition, transport mechanisms, and generation pathways.
Establish defectivity reduction roadmaps and support technology development, qualification, and continuous improvement initiatives.
Collaborate with process, hardware, software, manufacturing, supplier quality, and customer-facing teams to solve complex technical challenges.
Present technical findings and recommendations to senior stakeholders and support knowledge sharing across engineering organizations.
What we are looking for
Master's degree or PhD in Materials Science, Physics, Chemical Engineering, Mechanical Engineering, Semiconductor Engineering, or a related technical discipline.
Minimum 8 years of semiconductor industry experience in process engineering, defectivity engineering, yield engineering, integration engineering, or a related field.
Strong experience supporting semiconductor manufacturing, front-end wafer processing equipment, or advanced process technologies.
Deep understanding of defect generation mechanisms within semiconductor manufacturing environments.
Expertise in contamination control, particle reduction, and defect prevention methodologies.
Strong analytical and problem-solving capabilities with proficiency in DOE and statistical data analysis.
Experience utilizing defect inspection, metrology, characterization, and failure analysi
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