Global Tapeout and Mask Operations, Biz App and Data Engineer (2026 New College Graduate)
GlobalFoundries2 hours ago
Base Salary
$54k - $110k/yr
Responsibilities
- Enable scalable Electronic Design Automation functions in cloud environments.
- Develop process-improvement automations, KPI metrics, interactive tools, and data visualizations for tapeout workflows.
- Analyze tapeout processing KPIs to optimize cloud tapeout execution.
- Support customer tapeouts, mask manufacturing enablement, and fab wafer start enablement.
- Collaborate with product lines, manufacturing fabs, customer sales, EDA and cloud vendors, and IT teams.
- Support environmental, health, safety, and security requirements and programs.
Requirements
- Be graduating with a bachelor’s degree in electrical and computer engineering, data science, or a related field; a master’s degree is preferred.
- Maintain an overall GPA of at least 3.5 and good academic standing.
- Develop business-process improvement automations and KPI metrics using Python, Angular, QuickSight, and PowerApps in cloud platforms.
- Have knowledge of relational and non-relational databases for processing tapeout and EDA data.
- Have knowledge of cloud-based business process improvement tools and out-of-the-box services.
- Have knowledge of project lifecycles and exposure to ADO, JIRA, Bamboo, Git, and Jenkins.
- Be fluent in written and verbal English.
- Prior related internship or co-op experience, leadership experience, project management skills, semiconductor-foundry knowledge, and strong communication and organizational skills are preferred.
Benefits
- Full-time 2026 new college graduate employment with accelerated training, mentorship, networking, leadership opportunities, and talent mobility.
- Hands-on exposure to cloud technologies, EDA tools, tapeout workflows, and cross-functional semiconductor operations.
- Expected salary range is $54,200.00-$110,300.00, with exact salary determined by qualifications, experience, and location.
- Reasonable workplace accommodations are available upon request.
- Employment is conditioned upon successful completion of applicable pre-employment conditions.
Categories
Data EngineeringFull Stack