Semiconductor Process Engineer - DoE & Data-Driven

[Job ]

Responsibilities:

• Define end-to-end process flows, requirements, and specifications, and validate performance through Design of Experiments (DoE).
• Collaborate with customers on conceptual process design for new products, including feasibility assessment and verification.
• Propose new process concepts supported by data-driven analysis to enhance existing product performance.
• Perform systematic troubleshooting using statistical and data analysis techniques to improve process and product outcomes.
• Debug machinery functions to ensure alignment with customer specifications and analyze DoE results for process optimization.
• Support internal equipment optimization activities prior to buy-off and during customer sample evaluations.
• Provide on-site process optimization and evaluation to meet defined customer requirements.

Requirements:

• Candidates with no prior experience are welcome to apply.
• Degree in Engineering, Applied Physics, Applied Mathematics, or a related discipline.
• Strong understanding of Design of Experiments (DoE), FMECA, statistics, and instrumentation.
• Familiarity with bonding processes in back-end semiconductor manufacturing, including hybrid bonding.
• Experience in micro-electronics or semiconductor manufacturing is an added advantage.

We regret that only shortlisted candidates will be notified. However, rest assured that all applications will be updated to our resume bank for future opportunities.

Please kindly refer to the Privacy Policy of Good Job Creations for your reference:

EA Personnel Name:

Felicia Chiam Kar Min
EA Personnel Reg. No.:

R
EA Licence No.:07C5771