Deskripsi Pekerjaan
Renesas Electronics is a global leader in semiconductor solutions, and we are looking for a visionary Principal Quality Assurance Engineer to join our team in Bay, Laguna. In this high-impact role, you will be the cornerstone of our AI-driven quality initiatives, ensuring that our next-generation semiconductor products meet the most rigorous reliability and performance standards in the industry.
You will collaborate with cross-functional R&D, manufacturing, and design teams to integrate machine learning and predictive analytics into our quality assurance frameworks. If you are passionate about pushing the boundaries of hardware reliability and shaping the future of AI-powered manufacturing, we want to hear from you.
Tanggung Jawab
- Architect and implement advanced AI-driven quality control frameworks for semiconductor manufacturing processes.
- Lead root-cause analysis (RCA) initiatives for complex reliability failures using predictive analytics.
- Collaborate with global engineering teams to define reliability standards for AI-enabled hardware components.
- Optimize test coverage and defect detection rates through automated data analysis and model training.
- Mentor junior quality engineers on best practices for statistical process control (SPC) and AI integration.
- Oversee rigorous reliability stress testing and performance validation cycles.
- Ensure full compliance with ISO and global semiconductor quality standards.
Kualifikasi
- Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, Data Science, or a related field.
- Minimum of 8-10 years of experience in Quality Assurance, Reliability Engineering, or Failure Analysis within the semiconductor industry.
- Proficiency in applying machine learning models or statistical tools for defect pattern recognition.
- Hands-on experience with semiconductor reliability stress testing (HTOL, HAST, TCT, etc.).
- Strong knowledge of Python, R, or SQL for complex data manipulation and analysis.
- Excellent communication skills with the ability to lead technical projects across cross-functional teams.
- Experience with semiconductor manufacturing automation and production quality management systems.