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Digital Factory Jobs in Texas (NOW HIRING)

Siemens

Assembly Focus Factory Manager

Fort Worth, TX · On-site

$109K - $188K/yr

We do this through empowering customers by combining the real and digital worlds. Improving how we ... Ensure the focus factory meets output targets and customer requirements. * Monitor KPIs and lead ...

PepsiCo

Controls & Automation Sr. Engineer

Arlington, TX · On-site

$80.20 - $134.25/hr

Support and manage the deployment of PGCS's automation strategy, digital factory initiatives, and control system modernization programs in Arlington. * Manage and execute a portfolio of automation ...

PepsiCo

Controls & Automation Sr. Engineer

Arlington, TX · On-site

$80K - $134K/yr

Support and manage the deployment of PGCS's automation strategy, digital factory initiatives, and control system modernization programs in Arlington. * Manage and execute a portfolio of automation ...

PepsiCo

Controls & Automation Sr. Engineer

Arlington, TX · On-site

$80K - $134K/yr

Support and manage the deployment of PGCS's automation strategy, digital factory initiatives, and control system modernization programs in Arlington. * Manage and execute a portfolio of automation ...

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All JobsDigital Factory JobsDigital Factory Jobs in Texas

Digital Factory information

See Texas salary details

$15

$44

$82

How much do digital factory jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for digital factory in Texas is $44.02, according to ZipRecruiter salary data. Most workers in this role earn between $23.75 and $57.12 per hour, depending on experience, location, and employer.

What is a digital factory?

A Digital Factory is an organizational unit or framework within a company that focuses on driving digital transformation by developing and implementing digital solutions, such as automation, data analytics, and smart technologies. It brings together multidisciplinary teams—often including IT, engineering, operations, and business specialists—to rapidly design, test, and deploy digital initiatives. The goal is to accelerate innovation, improve efficiency, and enhance business performance by leveraging digital tools and agile methodologies.

What are the key skills and qualifications needed to thrive in a digital factory role, and why are they important?

To thrive in a Digital Factory role, you need expertise in digital transformation, process automation, data analytics, and a background in engineering or information technology. Familiarity with industrial IoT platforms, automation tools like PLC/SCADA systems, and certifications such as Six Sigma or Lean Manufacturing are often required. Strong project management, problem-solving, and cross-functional communication skills help drive innovation and coordinate digital initiatives. These skills are crucial for optimizing manufacturing processes, increasing operational efficiency, and maintaining competitiveness in a rapidly evolving industrial landscape.

How does a digital factory team typically collaborate with other departments during digital transformation projects?

Digital Factory teams work closely with various departments such as IT, operations, marketing, and product development to drive digital transformation initiatives. Collaboration often involves regular cross-functional meetings, workshops, and agile ceremonies to ensure alignment of goals and seamless integration of new digital solutions. Team members may also act as liaisons, gathering requirements, addressing concerns, and sharing progress updates. This collaborative approach not only accelerates project delivery but also ensures that solutions meet the needs of all stakeholders.

What are popular job titles related to Digital Factory jobs in Texas?

For Digital Factory jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Digital Factory jobs in Texas look for?

The top searched job categories for Digital Factory jobs in Texas are:

Digital Factory jobs near you
Infographic showing various Digital Factory job openings in Texas as of August 2026, with employment types broken down into 87% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $91,555 per year, or $44 per hour.

Staff Engineer, Digital Factory Lead (R5265)

Shield AI

Dallas, TX • On-site

$140K - $210K/yr

Full-time

Re-posted 8 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Founded in 2015, Shield AI is building intelligent, autonomous aircraft that protect service members and civilians around the world. As we scale production, we're building more than a factory-we're building an AI-native manufacturing ecosystem that will define the future of aerospace production. 

Build the AI Factory of the Future 

We're looking for a Digital Factory Lead to help create one of the world's most advanced manufacturing environments. 

This role sits at the intersection of manufacturing, software, data, automation, and artificial intelligence. You will define and deploy the digital systems, connected infrastructure, and AI-enabled tools that power aircraft production-transforming factory operations through technology. 

From implementing our Manufacturing Execution System (MES) to deploying AI-powered manufacturing solutions, you'll help define how autonomous aircraft are built for years to come. 

 
What you'll do:
AI-Enabled Manufacturing 
  • Develop and execute Shield AI's AI Manufacturing roadmap. 
  • Identify opportunities to leverage AI across production, quality, maintenance, supply chain, training, and operational decision-making. 
  • Deploy AI-powered solutions including intelligent work instructions, manufacturing copilots, predictive maintenance, automated root-cause analysis, and advanced analytics. 
  • Partner with software and data teams to turn operational challenges into scalable technical solutions. 
  • Capture and digitize manufacturing knowledge to improve workforce productivity, training, and consistency. 
Digital Factory Systems 
  • Lead the deployment, configuration, and continuous improvement of Shield AI's Manufacturing Execution System (MES). 
  • Establish the digital thread connecting engineering, production, quality, maintenance, and supply chain operations. 
  • Drive integration between MES, ERP, PLM, QMS, factory automation systems, and manufacturing equipment. 
Connected Factory Infrastructure 
  • Define and deploy the digital architecture supporting production equipment, tooling, test systems, PLCs, sensors, and industrial controls. 
  • Establish factory-wide connectivity and real-time operational visibility. 
  • Develop the data ecosystem required to support AI, automation, analytics, and future autonomous manufacturing capabilities. 
Factory Transformation 
  • Develop and execute Shield AI's Digital Factory roadmap. 
  • Lead automation initiatives across manufacturing, inspection, testing, and material flow. 
  • Evaluate emerging technologies including machine vision, digital twins, autonomous inspection, and next-generation manufacturing systems. 
  • Help define what aircraft manufacturing should look like over the next decade. 
Required qualifications:
  • Bachelor's degree in Engineering, Manufacturing Engineering, Industrial Engineering, Computer Science, Automation, or a related technical discipline. 
  • 8+ years of experience in digital manufacturing, manufacturing systems, industrial automation, software-enabled operations, or Industry 4.0 environments. 
  • Experience implementing manufacturing software systems such as MES, QMS, maintenance, analytics, or automation platforms. 
  • Strong understanding of manufacturing operations, industrial controls, factory automation, and manufacturing data systems. 
  • Experience working directly with software developers, system integrators, automation engineers, or data teams to deliver production-ready solutions. 
  • Demonstrated ability to lead complex cross-functional initiatives from concept through deployment. 
Preferred qualifications:
  • Aerospace, defense, automotive, robotics, electronics, or other high-complexity manufacturing experience. 
  • Experience supporting greenfield factory launches or large-scale factory transformations. 
  • Experience applying AI, machine learning, advanced analytics, or digital twin technologies in an operational environment. 
  • Knowledge of AS9100, or other highly controlled manufacturing systems. 
Why Shield AI?

Most companies are still trying to digitize their factories. 

At Shield AI, we're building an AI-native manufacturing environment from the ground up. 

The systems, technologies, and AI-enabled capabilities you deploy will directly influence how autonomous aircraft are manufactured for years to come, enabling Shield AI to scale production while maintaining the quality, speed, and operational excellence required for mission-critical aerospace systems. 

$140,000 - $210,000 a year
#LI-JM1
#LD

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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