Job Description

The Senior Process Engineer is responsible for leading process development, optimization, troubleshooting, and continuous improvement activities to ensure robust, efficient, and high-quality manufacturing performance. This role provides technical leadership across production processes, drives root-cause analysis for complex issues, and supports strategic initiatives to improve yield, productivity, cost, and equipment/process reliability.

Key Responsibilities

Lead process monitoring, analysis, and optimization to improve performance, yield, and stability
Investigate complex process deviations, defects, and equipment-related issues
Drive root-cause analysis and corrective/preventive actions for recurring problems
Develop, validate, and implement process improvements, standards, and controls
Support new product introduction, process transfer, and qualification activities
Work closely with Production, Quality, Maintenance, Industrial Engineering, and R&D teams
Define and track key process KPIs such as:
- Yield
-Scrap
- Throughput
- Cycle time
- Downtime
- Process capability
Review and update process documentation, specifications, and work instructions
Lead or support continuous improvement projects using Lean, Six Sigma, or other methodologies
Ensure compliance with safety, quality, and operational standards
Mentor junior engineers and provide technical guidance to shop-floor teams
Present technical findings, action plans, and project progress to management

Job Requirement:

Bachelor's degree or above in Mechanical Engineering, Mechatronics, Automation, Electrical Engineering, Electronics, Materials Science, Chemical Engineering, or a related STEM field
Relevant experience in Cu CMP, with AMAT Mirra experience highly preferred
Strong understanding of semiconductor manufacturing principles, process engineering, and CMP fundamentals
Ability to understand semiconductor process flows and adjust equipment parameters based on process requirements
Experience analyzing wafer surface defects such as scratches and residues, as well as material removal rate performance
Data analysis skills proficiency in data analysis tools is an advantage
Strong hands-on capability and willingness to work in a cleanroom environment
Good communication, coordination, and teamwork skills
Strong logical thinking and systematic problem-solving ability
Good English reading comprehension and ability to write technical documentation