Internship - AI/ML implementation on Chip Verification flow
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- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingDevelop new or enhance existing verification flows using machine learning automation
Use data mining and machine learning to support automated decisions
Work with several interfaces to understand flow requirements and implement automation
Apply data analysis and processing with Python or Perl scripts
From the employer’s posting
Develop new or enhance existing flows to improve efficiency based on Machine Learning implementation using automation.
Use data mining and machine learning to make automated decisions.
Co-work with multiple interfaces to understand verification flow requirements to implement the automation.
Apply data analysis and processing by automation using python and/or perl scripts, interfacing to databases such as MySQL and UNIX servers.
What you’ll bring
All qualificationsCore experience
- Bachelor's or Master's degree in Engineering, Computer Science, IT, Business Analytics or Data Science
- Strong skills and interest in scripting and programming in Python and/or Perl
- Preferred intake January 2027 to May/June 2027
Qualification wording
Bachelor/Masters’ Degree in Engineering / Computer Science / Information Technology / Business Analytics / Data Science.
Strong skills and interest in scripting and programming (python and/or perl).
Preferred Intake: Jan 27 – May/June 27.
Tools in this posting
- Python
- SQL
- MySQL
- Django
Source — Tool mentions in context
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 Profile
Qualifications 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
Posting record
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- Live
- First seen by us
- Aug 14, 2026 · 78 days ago
- Recorded sightings
- 225
- Last seen by us
- Oct 31, 2026
- Employer says posted
- Jul 20, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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