About GF
GlobalFoundries Inc. (GF) is one of the worlds leading semiconductor manufacturers. GF redefines innovation and semiconductor manufacturing by developing and delivering feature-rich process technology solutions with leading performance in all growth markets. GF offers a unique mix of design development and manufacturing services. With a talented and diverse team and manufacturing locations in the U.S. Europe and Asia GF is a trusted technology provider to its global customers. GF employs approximately 13000 people including more than 3000 in Dresden Germany.
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Introduction
GlobalFoundries is a leading fullservice semiconductor manufacturer with advanced fabrication sites across the globe. Our Dresden site (F1) develops and manufactures differentiated CMOS technologies including 22FDX a key enabler for ultralowpower electronics embedded NVM and emerging quantum applications. The Technology Architect Group (TAG) is responsible for longterm technology pathfinding device research and crossnode innovation including ferroelectric memory development AI hardware enablement and quantum computing concepts. We are offering a highly selective internship for students with strong technical curiosity and passion for semiconductor devices ferroelectrics and advanced CMOS research.
Your Job
As an intern inR&D CMOS Integration you will work closely with the Technology Architect Group on earlystage research and exploratory technology development. Your work may include:
Ferroelectric HfO₂ Memory (FeFET / FeCAP)
Supporting experimental development of HfO₂based ferroelectric memory devices
Assisting in material and devicelevel characterization (polarization loops retention endurance behavior)
Processing and analyzing electrical thermal and reliability datasets
Evaluating integration pathways into 22FDX FDSOI CMOS flows
AIAccelerated Device & Process Development
Assisting in development of AI/ML approaches for device variability analysis defect classification or predictive modeling
Training lightweight neural models for semiconductor data (Pythonbased workflows)
Research on AIassisted pattern recognition and automated data labeling
22FDXBased Quantum Computing Concepts
Supporting feasibility assessments of quantumrelevant device structures in FDSOI
Reviewing literature on qubit architectures cryogenic electronics and ferroelectric quantum materials
Contributing to simulation or modelling tasks (e.g. MATLAB Python Cbased tools)
General R&D Support
Preparing technical documentation experiment reports and presentations
Participating in crossfunctional meetings with Device Engineering TCAD Materials Science and Integration teams
Required Qualification
This internship is ideal for students who are passionate about semiconductor physics microelectronics embedded systems AIbased engineering workflows and realworld device development.
Enrollment in Electrical Engineering Electronics Semiconductor Devices Computer Engineering or similar
Foundational knowledge insemiconductors MOSFET physics microelectronics digital design and embedded systems
Strong analytical and problemsolving skills
Ability to work independently manage tasks and thrive in a researchfocused environment
Excellent communication skills in English (C1)
Preferred Qualifications
Experience with programming languages such asPython C Arduino/ESP32 or parallel programming environments
Familiarity with tools likeMATLAB YOLO SCADA/PLC systems missionplanning software AutoCAD or Raspberry Pi
Demonstrated handson experience throughtechnical projects e.g. intensive use and understanding of modern AI tools demonstration of team-skill in technological project execution Semiconductor devicerelated course projects (e.g. MOSCAP/MOSFET digital logic FPGA basics
We offer
The opportunity to become part of an open and dynamic team
Flexible working hours based on trust
Access to professional development opportunities
Competitive compensation
On-site cafeteria gym and physical therapy
Additional attractive benefits such as health promotion programs and various employee discounts
Please include a current proof of enrollment with your application.
Key Details
Duration:3 months
Fulltime university internship (3 months)
Information about our benefits you can find here: Experience:
Intern
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