Defectivity Process Engineer - 24/7 Fab Support

Imec; Heverlee; On-site; EUR 60,000 - 90,000; Full time

Job summary

IMEC in Leuven, Belgium is seeking a Process Engineer in the Defectivity team. You will qualify processes and tools, monitor stability, and implement improvements to enhance quality and cycle time.

The role requires data-driven decision making, autonomy, and strong communication in a cross-functional setting. As part of a multidisciplinary team, you will analyze data, create tool recipes, investigate root causes, and contribute to new characterization techniques aligned with the technology

Qualifications

• Master’s degree in Science or Engineering or equal by experience.
• Experience in a FAB environment is a strong asset.
• Data-driven mindset with the ability to analyze information before acting.
• Autonomous, well organized, with attention to detail and high quality standards.
• Fluent in English with good communication and reporting skills.

Responsibilities

• Qualify processes and tools, monitor stability and implement improvements for quality and cycle time.
• Troubleshoot defectivity-related issues reported by First Line Support when needed.
• Analyze data using sound statistical methods and present summaries to peers and management.
• Fulfill requests for new applications and create tool recipes.
• Investigate tool and recipe issues, focusing on root cause analysis and long-term solutions.
• Collaborate in a multidisciplinary, multicultural environment with researchers, hardware engineers, ops, and other experts.
• Innovate new characterization techniques aligned with imec’s technology roadmap.
• Work in two shifts (early/late) including one weekend out of four to support 24/7 fab.

Skills

Data-driven

Autonomous

Detail-oriented

Team player

Strong communication

Education

Master's degree in Science or Engineering

Job description

IMEC in Leuven, Belgium is seeking a Process Engineer in the Defectivity team. You will qualify processes and tools, monitor stability, and implement improvements to enhance quality and cycle time.

The role requires data-driven decision making, autonomy, and strong communication in a cross-functional setting. As part of a multidisciplinary team, you will analyze data, create tool recipes, investigate root causes, and contribute to new characterization techniques aligned with the technology