About GlobalFoundries
GlobalFoundries (GF) is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world's most inspired technology companies. With a global manufacturing footprint spanning three continents, GF makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com.
New College Graduates Overview:
We offer many full-time employment paths for recent graduates, which provide accelerated training in a fast-paced work environment, cross-functional working opportunities, and talent mobility. New college graduates are provided with mentorship, networking, and leadership opportunities, which give our new team members life-long connections and skills.
Summary of Role:
As a Tapeout and Mask Operations Engineer with a data focus, you will partner with a global team of engineers, product owners, and data architects to drive next-generation tapeout workflows and data platforms as part of a greenfield business transformation project.
This role combines tapeout domain expertise with data engineering, cloud architecture, and analytics, enabling scalable, high-quality, and automated tapeout operations in a modern cloud environment.
Join a team that offers exceptional career growth through:
Hands-on ownership of tapeout data ecosystems
Work across configuration, execution, and analytics data domains to define, model, and enable scalable data solutions supporting end-to-end tapeout workflows
Partner with Product Lines, Manufacturing Fabs, EDA teams, and IT to ensure data integrity, traceability, and governance across the tapeout lifecycle
Building cloud-native data and automation capabilities
Contribute to the development of data pipelines, validation frameworks, and automation supporting tapeout execution in AWS-based environments
Develop tools and dashboards to analyze tapeout KPIs, execution data, and system performance, driving data-informed decision-making
Driving transformation of legacy to modern tapeout systems
Play a key role in data migration, mapping, and reconciliation efforts from legacy systems into modern cloud platforms
Help implement best practices in data modeling, validation, and cross-system integration to improve quality and reduce manual effort
End-to-end visibility into the customer tapeout lifecycle
Gain exposure to complex, real-world semiconductor challenges across design, data exchange, execution, and mask manufacturing
Build a strong systems-level understanding of how data flows across the full tapeout process
Essential Responsibilities include:
Other Responsibilities:
Required Qualifications:
Preferred Qualifications:
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Expected Salary Range
$58,400.00 - $100,800.00
The exact Salary will be determined based on qualifications, experience and location.
If you need a reasonable accommodation for any part of the employment process, please contact us by email at usaccommodations@gf.com 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 GlobalFoundries is conditioned upon the successful completion of pre-employment conditions, as applicable, and subject to applicable laws and regulations.
GlobalFoundries is fully committed to equal opportunity in the workplace and believes that cultural diversity within the company enhances its business potential. 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.
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