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Shield AI

Builds autonomous aircraft for defense

Digital Factory Lead

Manufacturing EngineeringConfirmed live in the last 24 hours
Full-timeSeattle, WA, USAIn-person

About the Job

Requirements

  • A bachelor's degree in Engineering, Manufacturing Engineering, Industrial Engineering, Computer Science, Automation, or a related technical discipline is required.
  • At least 8 years of experience in digital manufacturing, manufacturing systems, industrial automation, software-enabled operations, or Industry 4.0 environments is required.
  • Experience implementing manufacturing software systems such as Manufacturing Execution Systems, Quality Management Systems, maintenance, analytics, or automation platforms is required.
  • Strong understanding of manufacturing operations, industrial controls, factory automation, and manufacturing data systems is required.
  • Experience working directly with software developers, system integrators, automation engineers, or data teams to deliver production-ready solutions is required.
  • Demonstrated ability to lead complex cross-functional initiatives from concept through deployment is required.

Responsibilities

  • Develop and execute Shield AI's AI Manufacturing roadmap.
  • Identify opportunities to leverage artificial intelligence 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.
  • Lead the deployment, configuration, and continuous improvement of Shield AI's Manufacturing Execution System.
  • Establish the digital thread connecting engineering, production, quality, maintenance, and supply chain operations.
  • Drive integration between Manufacturing Execution Systems, Enterprise Resource Planning, Product Lifecycle Management, Quality Management Systems, factory automation systems, and manufacturing equipment.
  • Define and deploy the digital architecture supporting production equipment, tooling, test systems, programmable logic controllers, sensors, and industrial controls.
  • Establish factory-wide connectivity and real-time operational visibility.
  • Develop the data ecosystem required to support artificial intelligence, automation, analytics, and future autonomous manufacturing capabilities.
  • 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.

Desired Qualifications

  • Experience in aerospace, defense, automotive, robotics, electronics, or other high-complexity manufacturing is preferred.
  • Experience supporting greenfield factory launches or large-scale factory transformations is preferred.
  • Experience applying artificial intelligence, machine learning, advanced analytics, or digital twin technologies in an operational environment is preferred.
  • Knowledge of AS9100 or other highly controlled manufacturing systems is preferred.

About the Company

Shield AI

Builds autonomous aircraft for defense

Shield AI builds autonomous aircraft and flight software for military and allied defense customers, with a focus on operations where conventional remote control breaks down. Its Hivemind AI pilot handles decisions during a mission, while the V-BAT aircraft gathers intelligence and locates targets. Aircraft makers use its software tools to develop and test their own autonomy, and its Aechelon business supplies visual and sensor simulation for pilot training. The company earns money from aircraft sales, autonomy software and contracted engineering and operational services. Shield AI was founded in 2015 and is headquartered in San Diego, California.

Company size
1,001-5,000
Company stage
Series H
Total funding
$4.8B
Headquarters
San Diego, CA
Founded
2015

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