Posted:
3/10/2026, 7:16:04 PM
Location(s):
Hsinchu, Taiwan
Experience Level(s):
Internship
Field(s):
Data & Analytics
Workplace Type:
Hybrid
Work with foundry product engineers for yield characterization and data analysis among suppliers.
Support system setup for data management and help data analysis of product correlation.
Execute operation logistics flawlessly with different functional teams to complete job assignments.
Prepare and present first-level findings in working meetings.
Bachelor's degree and above in Computer Science, Information Engineering or a related field
Python coding skill is must and excel at data analysis modules.
Prefer to have basic knowledge of semiconductor and statical analysis.
Good spoken and written in English.
Team player and good inter-people relationship.
Full-Time 40 working hours weekly in July and Aug 2023 (2 months) and 24 hours per week (part-time) in Sep 2023 - June 2024 for the remainder of 10 months.
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.*
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.Website: https://www.intel.com/
Headquarter Location: Santa Clara, California, United States
Employee Count: 10001+
Year Founded: 1968
IPO Status: Public
Last Funding Type: Post-IPO Equity
Industries: Artificial Intelligence (AI) ⋅ Information Technology ⋅ Product Design ⋅ Semiconductor ⋅ Software