Failure Analysis Engineer; College Graduate

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. 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.

Global Foundries 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.

• 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.

• 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%.

• 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.

Expected Salary Range

$58,400.00 - $

If you need a reasonable accommodation for any part of the employment process, please contact us by email at  and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case‑by‑case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.

An offer with Global Foundries is conditioned upon the successful completion of pre‑employment conditions, as applicable, and subject to applicable laws and regulations.

Global Foundries is fully committed to equal opportunity in the workplace and believes that cultural diversity within the company enhances its business potential. Global Foundries goal of excellence in business necessitates the attraction and retention of highly qualified people. Artificial barriers and stereotypic biases detract from this objective and may be illegally discriminatory.

All policies and processes which pertain to employees including recruitment, selection, training, utilization, promotion, compensation, benefits, extracurricular programs, and termination are created and implemented without regard to age, ethnicity, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third‑party affiliation, sex, sexual orientation, gender identity or expression, veteran status, or any other characteristic or category specified by local, state or federal law