Staff Engineer, Digital Factory Lead
Leads the design and deployment of AI-enabled manufacturing systems, MES, connected-factory infrastructure, and automation for aircraft production. Requires a bachelor’s degree and 8+ years of experience in digital manufacturing, industrial automation, or software-enabled operations.
About the job
Responsibilities
- Develop and execute an AI manufacturing roadmap.
- Identify opportunities to apply AI across production, quality, maintenance, supply chain, training, and operational decision-making.
- Deploy AI-enabled solutions such as 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.
- Lead deployment, configuration, and continuous improvement of a Manufacturing Execution System (MES).
- Establish a digital thread connecting engineering, production, quality, maintenance, and supply chain operations.
- Integrate MES with ERP, PLM, QMS, factory automation systems, and manufacturing equipment.
- Define and deploy digital architecture for production equipment, tooling, test systems, PLCs, sensors, and industrial controls.
- Establish factory-wide connectivity and real-time operational visibility.
- Develop the data ecosystem supporting AI, automation, analytics, and autonomous manufacturing.
- Develop and execute a Digital Factory roadmap.
- Lead automation initiatives across manufacturing, inspection, testing, and material flow.
- Evaluate machine vision, digital twins, autonomous inspection, and next-generation manufacturing systems.
- Lead complex cross-functional initiatives from concept through deployment.
Requirements
- 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 with software developers, system integrators, automation engineers, or data teams to deliver production-ready solutions.
Nice-to-haves
- 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 operational environments.
- Knowledge of AS9100 or other highly controlled manufacturing systems.
Skills
AI, Machine Learning, Mes, Qms, ERP, Plm, Industrial Automation, Industrial Controls, Plc, Machine Vision, Digital Twins, Advanced Analytics, Predictive Maintenance, As9100, Manufacturing Data Systems
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