job description
Kickstart your engineering career with Renesas Electronics, a global leader in semiconductor solutions. As a Process Engineering Intern, youâll gain hands-on experience in cutting-edge Die Attach and Wire Bond processes, contributing to real-world projects that drive innovation in microelectronics.
This internship offers a unique opportunity to work alongside industry experts, analyze critical production data, and propose process improvements that enhance efficiency, quality, and yield. Youâll develop technical skills in semiconductor manufacturing while building a foundation for a successful career in engineering.
Based in our state-of-the-art facility in Bayan Lepas, Penang, this role is perfect for ambitious students or recent graduates eager to apply theoretical knowledge in a dynamic, high-tech environment. Join us and be part of the technology that powers the future!
Responsibility
- Assist in the execution and monitoring of Die Attach and Wire Bond processes in a semiconductor manufacturing environment.
- Collect, analyze, and interpret production data to identify trends, anomalies, and areas for improvement.
- Support process optimization projects by conducting experiments, documenting results, and proposing solutions.
- Collaborate with cross-functional teams (e.g., Quality Assurance, Production) to troubleshoot process-related issues.
- Prepare technical reports, presentations, and process documentation for internal stakeholders.
- Assist in the calibration and maintenance of process equipment under supervision.
- Participate in continuous improvement initiatives (e.g., Lean, Six Sigma) to enhance operational efficiency.
- Adhere to safety, quality, and compliance standards in all operational activities.
Qualifications
- Currently pursuing or recently completed a Bachelorâs or Masterâs degree in Electrical Engineering, Mechanical Engineering, Materials Science, or a related field.
- Basic understanding of semiconductor manufacturing processes (Die Attach, Wire Bond, or similar) is a plus.
- Proficiency in data analysis tools (e.g., Excel, Python, Minitab) and statistical methods.
- Strong problem-solving skills with a detail-oriented and analytical mindset.
- Excellent written and verbal communication skills in English.
- Ability to work independently and collaboratively in a fast-paced environment.
- Familiarity with ISO/TS standards, SPC (Statistical Process Control), or DOE (Design of Experiments) is advantageous.
- Prior internship or project experience in a manufacturing or R&D setting is a bonus.