Systems/Process Engineering, Tapeout Operations Intern (Summer 2027)

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

GlobalFoundries is seeking a highly skilled and motivated college intern to join our Tapeout Operations team. This internship offers hands-on experience in systems and process engineering within the semiconductor design and manufacturing flow, with a focus on process optimization, data analysis, and automation initiatives that enhance tapeout efficiency and quality.

The intern will work directly with the Tapeout Operations team to develop automation supporting web- and Linux-based execution of the mask release process. The assignment provides exposure to leading-edge foundry electronic design automation (EDA) tools and tapeout flows, advanced semiconductor manufacturing processes, technology trends, and data analysis.

Essential Responsibilities include

• Assist in documenting and analyzing tapeout workflows and process steps.
• Support the development and improvement of automation scripts and tools for data handling, job submission, and web- and Linux-based mask release execution.
• Collect and analyze process metrics to identify bottlenecks, improve throughput, and propose scalable process enhancements.
• Collaborate with cross-functional teams, including design, manufacturing, information technology, and EDA stakeholders.
• Participate in root cause analysis and corrective action efforts for tapeout-related issues.
• Help maintain and update process documentation and standard operating procedures (SOPs).

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 or Master's degree in Systems Engineering, Electrical Engineering, Computer 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.

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
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel or other data analysis tools.
• Experience with Linux/Unix environments.
• Familiarity with scripting languages (e.g., Python, Perl, or Shell).
• Exposure to version control systems.
• Knowledge of process improvement methodologies (Lean, Six Sigma) is a bonus.
• Basic understanding of semiconductor design or manufacturing processes is a plus.
• #InternshipProgramUS
• 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.
• An offer with GlobalFoundries is conditioned upon the successful completion of pre-employment conditions, as applicable, and subject to applicable laws and regulations.
• GlobalFoundries 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.