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Controls/Automation Engineer

Armstrong World Industries - State/ Province Pennsylvania | Job Search Country United States

Posted Jun 12, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
$95K-$115K not verified - source not recorded; timestamp not recorded
401(k) match
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Market context

U.S. role benchmark (BLS OEWS)
$111,944 U.S. median for this role
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

6% below the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type
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Weekend work
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Application

Cover letter
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Assessment
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Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Controls/Automation Engineer State/ Province Pennsylvania | Job Search Country United States Primary location:, Relocation offered: Employment status: Full-Time Travel: Non-compete: The estimated base salary range for this role is $95,000 to $115,000 per year. Individual pay is based upon location, skills and expertise, experience and other relevant factors Controls/Automation Engineer Armstrong World Industries has an opportunity for a Project / Sr. Project Engineer focused on advancing manufacturing performance through the integration of mechanical systems, data analytics, and AI-driven solutions. This role operates at the intersection of manufacturing, digital technology, and advanced analytics-driving measurable improvements in plant productivity, reliability, and decision-making. It is an operationally connected role requiring strong plant engagement, cross-functional collaboration, and hands-on problem-solving to bring digital solutions into real-world manufacturing environments. What You'll Be Doing Digital Innovation & Advanced Analytics Lead the identification and deployment of AI, data analytics, and modeling solutions across multiple manufacturing plants. Develop diagnostic, predictive, and optimization models to improve performance and decision-making. Support and scale technologies such as process monitoring, automated alignment systems, and intelligent detection/measurement tools. Stay current with emerging technologies in AI, machine learning, and smart manufacturing. Plant Engagement & Implementation Partner directly with plant teams to identify high-

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