Staff Engineer, Digital Factory Lead (R5265)
On-siteDallas, Texas, United States
Job Summary
Develop and execute Shield AI's AI Manufacturing and Digital Factory roadmaps, identifying opportunities to leverage AI across production, quality, maintenance, supply chain, and operational decision-making. Deploy AI-powered solutions including intelligent work instructions, manufacturing copilots, predictive maintenance, automated root-cause analysis, and advanced analytics. Lead the deployment, configuration, and continuous improvement of the Manufacturing Execution System (MES), establishing the digital thread connecting engineering, production, quality, maintenance, and supply chain operations. Define and deploy the digital architecture supporting production equipment, tooling, test systems, PLCs, and sensors to enable real-time operational visibility. Drive integration between MES, ERP, PLM, QMS, factory automation systems, and manufacturing equipment while evaluating emerging technologies like machine vision and digital twins.
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.
Desired 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.
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