Director, Test Automation and Data Analytics

What You'll Do

• Build a scalable system for Test Automation and Data Analytics Automation.
• Solution should support multiple different ATE platforms and varied production lines (Digital, Mixed-Signal/Analog, RF).
• Define and develop Test Method Libraries to enabling re-use, standardization, and sameness across products and ATE platforms.
• Reduce / eliminate manual test-engineering workflows by developing and deploying AI agentic test automation solutions.
• Develop Test Program Automation that is capable of handling differentiated test flows and test insertions designed for multiple different market segments (Auto, Commercial, Industrial), and driven for best-in-class coverage and cost-of-test.
• Automation should go beyond test program generation and across the layers between testers and peripherals (tester / peripheral communications, data-transfers, etc.).
• Develop automation tools to support various critical activities across NPDE and Cost Entitlement teams (Program Audits, Test Time Profilers, data-analysis tools, GRR, Drift analysis, Cpk’s, CZ Reports, etc.).
• Write and develop application tools sitting on top of the data platforms – NPD dashboards, Yield / Quality monitoring dashboards, outlier screening effectiveness dashboards, lot dispositions, etc.
• Develop real-time analytics and decision making tools.
• Create and build applications and automated tools for complex and large data analysis.
• Leverage data from various sources within the manufacturing line, analyze, and outline opportunities for product cost and product quality improvements.
• Identify / document gaps, best practices, and lessons learned and feedback to Design, DfT, and PE NPDE / Cost Entitlement teams, to drive for better processes and test methods for future products.
• Other Responsibilities: Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.
• Required Qualifications: Multiple years of combined experience in semiconductor test, automation, and AI/ML, with hands-on production exposure to test-program development, ATE platforms, and production data flows is key to this role.
• Candidate should have strong track record of building and shipping automation platforms and data systems that serve production users at scale – from architecture to multi-site fanout.
• He/she should be familiar with AI/ML applied to test and manufacturing data (outlier detection, yield analytics, adaptive test, or automated decisioning) and is expected to be an expert with modern automation and data stacks – Python, ML frameworks (PyTorch, TensorFlow), and cloud-scale data platforms.
• Expected Salary Range $166,500.00 - $290,000.00 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