CMOS FEOL Reliability Engineering Intern (Summer 2027)

About GlobalFoundries

GlobalFoundries (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 www.gf.com.

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. Working with reliability engineers, device engineers, Process Integration, Product Engineering, Yield Engineering, Reliability Laboratory, and data-analysis teams, the intern will evaluate reliability test data, investigate degradation mechanisms, and improve qualification and monitoring methodologies.

Essential Responsibilities include:

• 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 skills, i.e., the ability to innovate and execute on solutions that matter; the ability to navigate ambiguity.

• Strong written and verbal communication skills

• Strong planning & organizational skills

• Knowledge of semiconductor devices and manufacturing processes.

• Familiarity with statistical data-analysis techniques.

• Experience with Python, JMP, Minitab, Excel, Power BI, or similar analysis and visualization tools.

• Exposure to semiconductor reliability concepts, wafer-level reliability, or laboratory testing.

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Expected Salary Range

$20.00 - $40.00

Expected Salary Range

$0.00 - $0.00

The exact Salary will be determined based on qualifications, experience and location.