Improve the current Chip Verification flow with AI/ML implementation to increase efficiency.
Your RoleKey responsibilities in your new role
- Verification Flow Optimization: Develop new or enhance existing flows to improve efficiency based on Machine Learning implementation using automation.
- AI/ML Decision Support: Use data mining and machine learning to make automated decisions.
- Cross-Functional Collaboration: Co-work with multiple interfaces to understand verification flow requirements to implement the automation.
Internship Learning Outcomes:
- EDA Tools Application: Demonstrate knowledge gained from coursework EDA tools after gathering raw data and undertaking data structuring.
- Automation & Data Processing: Apply data analysis and processing by automation using python and/or perl scripts, interfacing to databases such as MySQL and UNIX servers.
- Practical Engineering Exposure: Obtain hands-on experience applying engineering knowledge towards enhancing team efficiency and effectiveness through Machine Learning.
Your ProfileQualifications and skills to help you succeed
- Education: Bachelor/Masters’ Degree in Engineering / Computer Science / Information Technology / Business Analytics / Data Science.
- Programming & Scripting: Strong skills and interest in scripting and programming (python and/or perl).
- Database & SQL: Knowledge and skills in database such as SQL/Django will be added advantage.
- Related Tools & Concepts: Knowledge in Artificial Intelligence / Data Mining / Machine Learning / UNIX / JIRA will be a plus.
- Preferred Intake: Jan 27 – May/June 27.
Contact: Hillary Woo
#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.
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