Global Tapeout and Mask Operations, Biz App and Data Engineer (2026 New College Graduate)

As a Tapeout and Mask Operations engineer, the candidate will work with our global team of engineers and product owners on business transformation projects that drive process optimizations and product modernization. Candidates will be exposed to cloud technology transformations with the greenfield approach and industry best practices. Join a team that offers exceptional career growth through:

• Hands-on work with cutting-edge cloud technologies, partnering closely with Product Lines, Manufacturing Fabs, Customer Sales, EDA and cloud vendors, and IT teams to streamline and modernize tapeout workflows.
• Opportunities to make visible impact by driving efficiency and improving quality through innovative tools-such as an interactive design studio that integrates EDA tools, LSF cost analytics, and tapeout metrics.
• Exposure to complex, real-world technology challenges, delivered using agile methodologies and deep cross-functional collaboration, enabling you to build a strong, end-to-end understanding of the customer tapeout lifecycle.

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.

• Education - Graduating with bachelor’s /master’s (preferred) 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.., * 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.

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., 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.