Six Figure Work

Director, Test Automation and Data Analytics

GlobalFoundries

Company websitegf.com (GlobalFoundries, opens in new tab)

Base salary $166,500  to $290,000

Employer-published annual base salary, USD. Advertised base range in Richardson, TX

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  • LocationRichardson, TX
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (1 h ago) · observed since

About this job

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 - $290,000.00

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 

Source: GlobalFoundries on Workday · View original posting (opens in new tab)

Pay in context

This role's base floor ($166,500) is above 82% of the 289 Software Engineering roles in Texas listed on this site. Their median floor is $143,700; the middle half runs from $120,000 to $156,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.

This range next to 6 other live GlobalFoundries roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live GlobalFoundries roles with the nearest advertised base floor
RolePublished base
Director, Test Automation and Data Analytics (this listing)$166,500 - $290,000
CryoCMOS Design Director, Quantum$166,500 - $319,000
Advanced Photonics Engineer$166,500 - $319,000
Director, Process Integration Qubit Modalities – GF Labs$166,500 - $290,000
Director of Product Management for Quantum Photonics, Quantum Technology Solutions$166,500 - $319,000
Director PostFab Engineering$166,500 - $290,000
Advanced Photonics Engineer$166,500 - $319,000

Same $100K to $400K scale as every card. All GlobalFoundries roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-05
Where this pay comes from

Location as the employer wrote it: Richardson

$166,500.00 - $290,000.00

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.