Principal Process Engineer
SWIR Vision Systems
Software Engineering
Seremban, Negeri Sembilan, Malaysia
Posted on Apr 2, 2026
Job Summary
The Principal Process Engineer is a senior technical leader within the Malaysia IL Wafer Process Engineering organization, responsible for providing high‑level, self‑driven project leadership and deep subject matter expertise in post‑Fab wafer processing. This role focuses on wafer backgrind, thinning, and metallization processes critical to successful die assembly, test, and long‑term product reliability. The incumbent leverages strong technical depth, data‑driven methodologies, and emerging AI‑enabled analytics to optimize manufacturing performance, influence executive‑level decisions, and drive continuous improvement across the end‑to‑end semiconductor manufacturing flow.
onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world’s most complex challenges and leads the way in creating a safer, cleaner, and smarter world.
More details about our company benefits can be found here:
| We are committed to sourcing, attracting, and hiring high-performance innovators, while providing all candidates a positive recruitment experience that builds our brand as a great place to work. |
Education
- Bachelor’s degree in Engineering, Materials Science, Physics, Data‑enabled Engineering, or a related discipline is required.
- Post‑graduate degree (Master’s or PhD) is an advantage.
- Minimum 10 years of relevant semiconductor or academic experience in wafer processing, post‑Fab manufacturing, assembly/test integration, or related research roles.
- Demonstrated experience applying data analytics, statistical methods, or AI‑assisted tools in semiconductor manufacturing, process engineering, or reliability analysis is strongly preferred.
- Deep technical expertise in wafer backgrind, thinning, metallization, and post‑Fab process integration.
- Strong working knowledge of AI‑enabled manufacturing analytics, including trend detection, process monitoring, yield learning, or decision‑support tools (coding expertise not mandatory).
- Advanced data analysis, problem‑solving, and executive‑level presentation skills.
- Excellent verbal and written communication skills, with the ability to influence technical and non‑technical stakeholders.
- Proven ability to work independently while driving results through cross‑functional and global collaboration.
Key Responsibilities:
- Serve as the principal technical expert for wafer backgrind, thinning, and metallization processes in preparation for die assembly and final test.
- Provide deep technical guidance across wafer fabrication, back‑end assembly and packaging, final electrical testing, and reliability qualification.
- Support yield learning, defect reduction, and root cause investigations using semiconductor failure analysis techniques, advanced data analytics, and pattern recognition approaches.
- Lead post‑Fab process development, optimization, and sustainment to ensure manufacturability, robustness, yield, and cost competitiveness.
- Apply AI‑assisted data analysis, statistical learning, and automation tools to identify process trends, anomalies, and improvement opportunities in high‑volume manufacturing environments.
- Partner with Fab, Assembly, Test, Quality, Equipment, IT, and external suppliers to deploy data‑driven and AI‑enabled solutions that enhance process capability, cycle time, and operational efficiency.
- Own and execute high‑impact, self‑directed technical and manufacturing projects, ensuring alignment with business objectives, timelines, and quality standards.
- Anticipate technical risks, define mitigation strategies, and leverage predictive insights where applicable to proactively address manufacturing challenges.
- Communicate complex technical and data‑driven insights effectively to senior management and executive stakeholders, supporting informed strategic and operational decisions.
- Prepare and deliver high‑quality technical presentations and analytics‑based reports, translating advanced process and AI insights into clear business impact.
- Act as a trusted technical advisor and collaborative leader within a highly matrixed, global organization.