Internship - Wafer Technology: AI Research, Development, and Implementation at Infineon Technologies AG Australia

Samut Prakan, , Thailand -

Full Time

Start Date

Immediate

Expiry Date

05 Apr, 26

Salary

0.0

Posted On

05 Jan, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Tensorflow, Computer Vision, Machine Learning, Deep Learning, Data Analytics, Problem-Solving, Attention to Detail, Communication Skills, Team Player, Git, KNIME, MLOps, Image Processing, Facial Recognition, Predictive Maintenance, Statistical Methods

Industry

Semiconductor Manufacturing

Description

Join period: Anytime from Jan 2026. As an intern in AI research, development and implementation role, you will be involved in supporting the wafer technology in wafer test process. You will have the opportunity to learn, work, and gain professional experience in research, development, and implementation AI,machine learning, deep learning, professional coding, test programs,advanced data analytics and contributing to the enhancement of wafer testing operation. Job Description 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 Smart Manufacturing 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 software defects related to wafer test applications Your Profile You are best equipped for this task if you have: Currently studying 3rd or 4th year in a Bachelor or Masters in Robotics and Computational Intelligence Systems, Computer Science, Computer Engineering, Electrical Engineering or related disciplines 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 in coding and testing. Communication Skills: Good verbal and written communication skills to document code and interact with team members. Team Player: Ability to work collaboratively in a team environment and take direction from senior engineers. 10 vacancies available #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. Learn more about our various contact channels. 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.

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Responsibilities

As an intern, you will support wafer technology in the wafer test process, focusing on AI research, development, and implementation. You will conduct professional coding, perform advanced data analytics, and contribute to enhancing wafer testing operations.