Infineon Technologies

Job Description

In your new role you will:

• Process Understanding: Understand Failure Analysis process, catalogues and various failure modes / mechanism. 
• Tool Application: Understand VFA flow and apply different tools (search engines, RPA). 
• Automation Development: Create programming to automate job labelling process. 
• Customization: Customize job labelling process for different FA groups. 
• Classification: Catergorize failure mode through AIML classification. 
• Interface Design: Develop user interface to facilitate Man-machine interaction for above items.
• Deployment Collaboration: To collaborate with IT to deploy end user coded App into operational database. 

Internship Learning Outcomes:

• Knowledge Acquisition: Gain knowledge on FA process, failure modes and classification. 
• Digital Transformation Insight: Good understanding of future digitalization in FA with Virtual Failure Analysis process and job labelling. 
• Tool Exposure: Exposure to use of search engine for topic consolidation, cumulative learning of FA insights. 
• Application Development: Develop end user APP for digital automation of FA processes.
• Skill Building: Project management skill. Career Advancement: Gain industry working experience to ease future career.

Your Profile

You are best equipped for this task if you have:

• Educational Background: Undergrad or master in Artificial Intelligent (AI engineering) / Computer Engineering / Data science / Information System / EE / EEE with relevant AI oriented mindset.
• Programming Proficiency: Knowledge in Language programming (eg. Python, Jupiter Notebook) AI & ML.
• Expertise: Knowledge in Artificial Intelligent Machine Learning, Large Language Model (LLM).
• Adaptability & Learning Agility: Interactive and dynamic in learning different failure analysis process flow. 
• Preferred intake: Jan 27 - May/ June 27