Director, Test Automation and Data Analytics
At a glance
Director-level QA & Test role at Globalfoundries. Richardson · full-time · $166,500–$290,000 base.
techroles summary, based on the employer's posting.
What you'll do
- Lead teams building automation systems for product development and cost and sustaining groups
- Set the architecture and roadmap for test automation, data infrastructure, and machine-learning applications
- Create reusable test methods and automated programs for different tester platforms, production lines, and market segments
- Build tools for test audits, timing, yield, quality, outlier screening, and lot decisions
- Use manufacturing data to develop real-time analytics and identify product cost and quality improvements
What you bring
- You have substantial combined experience in semiconductor test, automation, and AI or machine learning
- You have hands-on production experience developing test programs, working with ATE platforms, and handling production data
- You have delivered automation platforms and data systems used by production teams at scale
- You bring expertise in Python, PyTorch or TensorFlow, and cloud-scale data platforms
Who this fits
This director-level technical leadership role suits someone who has built production automation and data systems and can lead multiple teams. The role is based in Richardson, Texas.
From the employer
About GlobalFoundries:
GlobalFoundries 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, GlobalFoundries 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.
Summary of Role:
The Director of Test Automation and Data Analytics will lead multiple teams responsible for building next-generation automation platforms, tools, and utilities for New Product Development and cost and sustaining organizations. This technical leadership role owns the automation ecosystem end to end, including test program generation, tester-to-peripheral communication, test-data infrastructure, and machine-learning and agent-driven applications. The Director will assess current capabilities, establish the technical strategy and architecture, and deliver a multiyear roadmap that supports future products, manufacturing scale, quality, and cost-of-test objectives.
Essential Responsibilities:
- 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 - $290,000.00The 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