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CMOS FEOL Reliability Engineering Intern; Summer

Job in Town of Malta, Saratoga County, New York, USA
Listing for: GLOBALFOUNDRIES U.S. INC.
Full Time, Seasonal/Temporary, Apprenticeship/Internship position
Listed on 2026-10-14
Job specializations:
  • Engineering
    Quality Engineering, Electrical Engineering
Salary/Wage Range or Industry Benchmark: 20 - 40 USD Hourly USD 20.00 40.00 HOUR
Job Description & How to Apply Below
About Global Foundries

Global Foundries (GF) is a leading manufacturer of essential semiconductors, enabling AI at scale from the cloud to the physical world. Through deep partnerships with customers, GF delivers differentiated, power-efficient and high-performance solutions for high-growth markets. GF is a trusted and holistic technology partner for customers around the world. GF’s talented, global team remains focused every day on security, longevity and sustainability.

For more information, visit

Internship Program Overview

Our Interns & Co-ops are our entry-level talent pipeline for GF across the globe. Our goal is to provide students with a meaningful work experience that will equip them with the skills to embark on a career in the fast‑paced and growing semiconductor industry after graduation. As an intern at GF, you’ll experience one‑on‑one mentorship, work assignments that prioritize your growth and potential, professional development opportunities, and the chance to network with executives.

Summary

of Role

The CMOS FEOL Reliability Engineering Intern will support the Fab 8 Reliability Engineering organization in assessing semiconductor device reliability performance across advanced technology platforms.

Essential Responsibilities
  • Learn semiconductor device reliability fundamentals, including Hot Carrier Injection (HCI), Bias Temperature Instability (BTI), Time-Dependent Dielectric Breakdown (TDDB), Gate Oxide Integrity (GOI), and Process Reliability Monitoring (PRM).
  • Support reliability qualification and monitoring activities for advanced CMOS technologies manufactured at Fab 8.
  • Analyze wafer‑level reliability (WLR) and fast wafer‑level reliability (FWLR) test data using statistical and engineering methods.
  • Develop automated data‑analysis, reporting, dashboard, and visualization solutions that reduce manual reporting effort and improve visibility of reliability trends across multiple technology platforms.
  • Perform data mining, trend analysis, comparative studies, and historical PRM correlation analysis to identify process and device factors that influence long‑term reliability performance.
  • Develop advanced statistical monitoring methods to improve excursion detection and reliability risk assessment.
  • Collaborate with Device Engineering, Process Integration, Product Engineering, Yield Engineering, and Reliability Laboratory teams to support technology qualification and root‑cause investigations.
  • Prepare reliability assessment documentation, engineering reports, and technical presentations, and present project findings and recommendations at the conclusion of the internship.
Other Responsibilities
  • Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.
Required Qualifications
  • Education – At least a sophomore at time of application and actively pursuing a Bachelor’s, Master’s, or PhD in Electrical Engineering, Materials Science, Physics, Computer Engineering, Data Science, Semiconductor Engineering, or related field through an accredited degree program during the time of internship.
  • Must have at least an overall 3.0 GPA and be in good academic standing.
  • Language Fluency – English (Written & Verbal)
  • Ability to work at least 40 hours per week during the internship.
  • Strong analytical and problem‑solving skills.
  • Ability to work independently and in a collaborative engineering environment.
Preferred Qualifications
  • Prior related internship or co‑op experience
  • Demonstrated prior leadership experience in the workplace, school projects, competitions, etc.
  • Strong interest in leveraging AI tools and emerging technologies to enhance productivity, streamline workflows, and support effective decision‑making.
  • Project management…
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