Product Quality Engineer
Job Summary
The Product Quality Engineer supports product launches and post-release improvements through design reviews, verification, and validation. This role involves monitoring quality performance and utilizing data analysis to ensure reliability, usability, and performance standards are met. Additionally, the engineer will explore AI use cases to enhance productivity and quality decision-making processes.
Responsibilities
- Support product launches and post-release improvements
- Monitor quality performance and risk mitigation
- Lead Root Cause Failure Analysis (RCFA)
- Develop AI use cases for quality and manufacturing
- Drive continuous improvement and QMS support
Required Skills
- B.SC in Engineering (Electronic/Electrical/CS)
- Quality or Design experience
- Knowledge of Electronic Manufacturing/Test processes
- Understanding of schematic and semiconductor devices
- AI/Machine Learning proficiency
Job Details
Responsibilities:
- Support product launches, post-release product continuation and improvement by participating in design reviews and verification/validation.
- Monitor quality performance, and risk identification and mitigation to ensure product/software meets established standards for reliability, usability, and performance.
- Assure quality products and processes by establishing and enforcing quality standards, test approaches, and relevant controls using tools, data, and trend analysis.
- Lead post-release product analysis and prepare analysis reports for customer communication.
- Provide regular quality status updates to stakeholders.
- Drive continuous improvement and standardization of best practices (including moving quality to the left), and support the organization’s Quality Management System (QMS).
- Identify and develop practical AI use cases in engineering, quality, and manufacturing that improve productivity, support faster decision-making, and strengthen product/process quality.
- Execute the quality strategy, prioritize actions, and serve as a role model leading and driving continuous improvement and standard.
Learning Outcomes:
- Lead Root Cause Failure Analysis (RCFA) and ensure corrective and preventive action planning, addresses true and systemic root cause with various functions/stakeholders to drive resolution.
- Conduct defect and/or failure trend analysis and propose/work with project team for improvement initiatives.
- Hands-on implementing lessons learned in other/new products, respectively new or running projects.
- Adhere to defined and communicated standards, methods, and procedures, with openness to identifying improvements.
- Seek and implement process improvement ideas in primary work area.
- Apply Quality Engineering principles together with AI to enabled predictive quality, failure pattern recognition.
Technical Skills and Competencies:
- B.SC in Electronic/Electrical/Computer Science Engineering.
- Experience in a Quality or Design function in a Product Development environment/Customer Quality is preferred.
- Basic understanding of Electronic Manufacturing, Assembly and Test processes.
- Basic understanding of schematic diagrams, semiconductor device knowledge, IC assembly / package and test process.
- Have an analytical mindsets with knowledge of problem solving process and tools.
- Experience in AI (Gen AI, Machine Learning) is an advantage.