Infineon
Internship - AI Research, Development, and Implementation in Wafer Technology
Skills
24 days ago
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Important information
Contract type:
Internship
Location:
Samut Prakan, Pak Nam, Mueang Samut Prakan District, Samut Prakan, Thailand
Work mode:
Onsite
Published on:
30 September 2026
What they need
The role focuses on developing and deploying Artificial Intelligence (AI) solutions to support smart manufacturing and wafer test operations. You will collaborate with engineering teams to research, build, implement, and optimize AI-driven applications using tools such as Python, machine learning frameworks, and computer vision techniques. The goal is to improve production efficiency, strengthen equipment reliability, and enhance manufacturing intelligence, while gaining hands-on exposure to real-world AI deployment practices
Your role
Key responsibilities in your new role
- **Education:**Pursuing a Bachelor's, Master's, or PhD degree in Computer Engineering, Computer Science, Data Science, Artificial Intelligence, Electrical Engineering, Electronics Engineering, or a related field
- Programming Skills: Knowledge of Python programming and machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
- AI & Computer Vision: Familiarity with Computer Vision, Deep Learning, and Image Processing techniques
- Software Development: Understanding of software development lifecycle, version control systems (Git/GitLab), and coding best practices
Your profile
Qualifications and skills to help you succeed
- Education: Pursuing a Bachelor's, Master's, or PhD degree in Computer Engineering, Computer Science, Data Science, Artificial Intelligence, Electrical Engineering, Electronics Engineering, or a related field
- Programming: Knowledge of Python programming and machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
- AI/ML Techniques: Familiarity with Computer Vision, Deep Learning, and Image Processing techniques
- Software Development: Understanding of software development lifecycle, version control systems (Git/GitLab), and coding best practices
- Data Analytics: Knowledge of data analytics tools such as KNIME is an advantage
- Emerging Technologies: Exposure to MLOps, cloud-based AI platforms, or LLM technologies is a plus
#WeAreIn for driving decarbonization and digitalization.
As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.
Are you in?
We are on a journey to create the best Infineon for everyone.
We strive to create the best Infineon for everyone by embracing diversity and inclusion. We welcome applicants for who they are and offer a workplace built on trust, openness, respect and equal opportunity.
Our hiring decisions are based on skills and experience. Even if you don’t meet every requirement, we encourage you to apply.
Please let your recruiter know if you need any accommodations during the interview process.
Learn more about our various contact channels and about Diversity & Inclusion at Infineon.
Hillary Woo
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