Internship - Wafer Technology: AI Research, Development, and Implementation

Samut Prakan (Thailand) Until 8/22/2026 H-1B sponsor history First posted April 30, 2025 Last posted April 30, 2025
Job description
As an intern in AI research, development and implementation role, youwill be involved in supporting the wafer technology in wafer testprocess. You will have the opportunity to learn, work, and gainprofessional experience in research, development, and implementation AI,machine learning, deep learning, professional coding, test programs,advanced data analytics and contributing to the enhancement of wafertesting operation.

In your new role you will:
  • Perform AI Research, development, and implementation (choose one) for:
    1.1 Wafer defect map pattern recognition and automated tools control
    1.2 AI inspection using computer vision and image processing
    1.3 Machine authentication using facial recognition
    1.4 Equipment predictive maintenance
    1.5 Feasibility study in LLM (Large Language Model) for SmartManufacturing applications
  • Conduct professional coding using Python with Tensorflow, CV (ComputerVision) with GitLab repository
  • Implement AI with MLOps (Machine Leaning Operation)
  • Perform advanced automated data analytics using KNIME
  • Perform code review
  • Conduct Bug Fixing: Identify, troubleshoot, and resolve softwaredefects related to wafer test applications


You are best equipped for this task if you have:
  • Currently enrolled in a Bachelor or Masters in Robotics and Computational Intelligence Systems, Computer Science, Computer Engineering, Electrical Engineering or related discplines
  • Proficiency in programming language in Python with CV2, Tensorflow,MLflow
  • Source code repository e.g. GIT, GitHub, GitLab
  • Basic understanding of data analysis and statistical methods
  • Problem-Solving Skills: Strong analytical and problem-solving abilities.
  • Attention to Detail: High level of accuracy and attention to detail incoding and testing.
  • Communication Skills: Good verbal and written communication skills todocument code and interact with team members.
  • Team Player: Ability to work collaboratively in a team environment andtake direction from senior engineers.


#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.
This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills.
Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.
Click here for more information about Diversity & Inclusion at Infineon.

About this role

Summary

Support wafer technology through AI research, development, and implementation.

Job title

Internship - Wafer Technology: AI Research, Development, and Implementation

Experience level

entry level

Industry

semiconductors

Location requirements

Located in Samut Prakan, Thailand; remote work not allowed.

Salary

Not specified

Visa sponsorship

H-1B sponsor history

Management role

No

Skills & keywords

Required skills

pythontensorflowcv2gitdata analysisproblem-solvingcommunicationteamwork

Preferred skills

None specified

Specializations

aimachine learningdeep learningdata analyticscomputer vision
Locations

Structured locations inferred from the posting.

Samut Prakan, Pak Nam, Mueang Samut Prakan District, Samut Prakan, Thailand

On-site City