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. With global manufacturing operations across the U.S., Europe and Asia, 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.

Summary of Role

GlobalFoundries Fab 9 is seeking a New College Graduate Failure Analysis Engineer to join our advanced analytical laboratory in Essex Junction, Vermont. In this role, you will support semiconductor manufacturing, yield improvement, and root-cause investigations through failure analysis techniques, materials characterization, and data-driven problem solving while developing expertise in advanced analytical methods and semiconductor process technologies. 

Essential Responsibilities

• Support failure analysis investigations for yield, reliability, and manufacturing challenges using analytical techniques including Secondary Ion Mass Spectrometry (SIMS).
• Analyze characterization data, interpret results, and communicate findings to engineering and manufacturing teams.
• Collaborate with cross-functional teams to develop investigation strategies, optimize analytical methods, and improve process understanding.
• Develop technical expertise in semiconductor materials analysis, failure mechanisms, and advanced laboratory equipment through hands-on training and mentorship. 

Required Qualifications

• Education – Graduating with a Bachelor's degree in Materials Science Engineering, Chemical Engineering, Physics, Electrical Engineering, Mechanical Engineering, Semiconductor Engineering, or a related technical discipline from an accredited degree program.
• Must have at least an overall 3.0 GPA and proven good academic standing.
• Language Fluency – English (Written & Verbal).
• Travel – Up to 10%. 

Preferred Qualifications

• Prior internship, co-op, undergraduate research, or laboratory experience related to semiconductor processing, materials characterization, or failure analysis.
• Strong interest in leveraging AI tools and emerging technologies to enhance productivity, streamline workflows, and support effective decision-making.
• Experience with materials characterization techniques such as SIMS, SEM, EDX, optical microscopy, spectroscopy, or related analytical methods.
• Demonstrated leadership experience through coursework, student organizations, research projects, competitions, or other activities.
• Strong analytical, problem-solving, and data interpretation skills.
• Experience working in a laboratory, cleanroom, semiconductor, or manufacturing environment.
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Expected Salary Range

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