Process Engineer Cleaning & Coating /Day Shift

Job Title: Process Engineer Cleaning & Coating

Location: Aachen, Germany

Job Type: Full-time, dayshift

 About the Role:

We are seeking for a motivated Process Engineer to join our high-tech assembly process and test team. In this role, you will develop, optimize, and manage surface treatment process steps in the back-end semiconductor manufacturing process for a high-end optical component. You will fine-tune methods like chemical/ultrasonic cleaning and thin film deposition. You will work in a fast-paced high tech environment, supporting high-volume production while ensuring maximum yield and quality. You will be reporting to the manager engineering.

Process Monitoring & Maintenance: Monitor daily coating and cleaning process parameters using Statistical Process Control (SPC) to ensure stability and quality.

Troubleshooting: Identify and resolve process shifts or equipment issues on the production floor, working closely with maintenance and equipment engineering teams.

Yield Optimization: Perform root cause analysis on defects and drive continuous improvement projects to reduce waste and improve assembly line efficiency.

New Product Introduction (NPI): Assist in defining process parameters and qualifying new coatings and cleaning processes or advanced surface treat technologies for new product launches.

Documentation: Develop and maintain Standard Operating Procedures (SOPs) and technical reports for all cleaning and coating operations.

Team Collaboration: Train and coach operations staff on dicing fundamentals and safe equipment handling.

Education: Bachelor’s or Master's degree in Chemistry, Materials Science, Physics, or a related technical field.

Experience: 2–4 years of experience in a high-tech manufacturing environment. Relevant internships or co-op experience in semiconductor assembly is highly valued.

 Technical Skills:

Foundational knowledge of semiconductor (or similar) fabrication and assembly processes.

Experience with coating or cleaning equipment is a pre.

Familiarity with data analysis tools such as Minitab.

Basic understanding of Design of Experiments (DOE) and Lean Six Sigma methodologies.

Strong analytical problem-solving abilities and attention to detail.

Hand-on mentality

Excellent communication skills for collaborating with cross-functional teams.

Ability to thrive in a fast-paced, high-pressure manufacturing environment.