The posting
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 ecosystemsWork 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 capabilitiesContribute 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 systemsPlay 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 lifecycleGain 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:
- Enable scalable, Electronic Design Automation (EDA) functions in a Cloud environment
- Continuously learn and explore new technologies and trends in tapeout interactive tool/app development, including AI/ML technologies and AWS services
- Create data visualizations, tools to view EDA tool outputs to bring process improvements and documentation
- Data analytics on Tapeout processing key performance indicators (KPIs), to drive optimized performance of Cloud Tapeout execution
- Support customer Tapeouts, Mask manufacturing enablement, Fab Wafer start enablement
Other Responsibilities:
- Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs
Required Qualifications:
- Education – Graduating with bachelor’s degree in electrical and computer engineering, data science or related field from an accredited degree program.
- Must have at least an overall 3.5 GPA and proven good academic standing.
- Architecting and developing process improvement automations and KPI metrics using Python, Angular, Quicksight, and PowerApps in various cloud platforms.
- Knowledge of relational and non-relational databases to process tapeout / EDA data.
- Language Fluency - English (Written & Verbal)
- Knowledge of developing business process improvement tools in cloud utilizing out of box services.
- Knowledge of project life cycle, exposure to project managements tools like ADO, JIRA and integration pipeline tools like Bamboo, GIT, Jenkins etc..
Preferred Qualifications:
- Prior related internship or co-op experience.
- Demonstrated prior leadership experience in the workplace, school projects, competitions, etc.
- Project management skills, i.e. the ability to innovate and execute solutions that matter; the ability to navigate ambiguity.
- Strong written and verbal communication skills, planning & organizational skills
- Must be proactive, with a desire to continuously improve system solutions, process documentation, and operating procedures.
- Knowledge/working with Semi-conductor domain (Foundry) is a plus.
#NCGProgramUS
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 [email protected] 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
