NPI ASIC Product Engineer: Yield & Quality Lead

Qplox engineering; Leuven; Sur place; EUR 60 000 - 90 000; Plein temps

Résumé du poste

Qplox engineering in Leuven is seeking an NPI Product Engineer to own the lifecycle of cutting-edge ASIC products, driving quality, reliability, and continuous improvement.

You will lead yield and test improvements, develop manufacturing and acceptance criteria, and collaborate across functions to deliver robust solutions.

The ideal candidate has a Master in Electronics Engineering, experience in ASIC manufacturing, Six Sigma methods, and proficiency in Python or C++.

Qualifications

• Master's degree in Electronics Engineering.
• Experience in production engineering, ASIC manufacturing, process engineering, or industrialization of complex ASIC products.
• Statistical analysis and Six Sigma methodologies, SPC, MSA.
• Proficiency in programming (Python and/or C++).
• Ability to quickly grasp complex ASIC test specifications.
• Problem-solving & risk-based decision-making.
• Strong organization & communication (English).

Responsabilités

• Drive product sustainability by addressing yield and test challenges.
• Develop, implement, and validate improvements related to manufacturing processes, supplier performance, and acceptance criteria.
• Lead initiatives to enhance overall product quality and achieve zero customer returns.
• Conduct failure analysis investigations and troubleshoot complex technical issues.
• Collaborate cross-functionally to ensure robust and scalable product solutions.

Connaissances

Statistical analysis

Six Sigma

SPC

MSA

Python

C++

Problem solving

Risk-based decisions

English communication

Formation

Master's degree in Electronics Engineering

Outils

Python

C++

Description du poste

Qplox engineering in Leuven is seeking an NPI Product Engineer to own the lifecycle of cutting-edge ASIC products, driving quality, reliability, and continuous improvement.

You will lead yield and test improvements, develop manufacturing and acceptance criteria, and collaborate across functions to deliver robust solutions.

The ideal candidate has a Master in Electronics Engineering, experience in ASIC manufacturing, Six Sigma methods, and proficiency in Python or C++.