Manufacturing Data & Process AI Integration System Engineer, Additive Manufacturing

The role

This person will own the monitoring, analytics, and AI/ML model layers for the additive manufacturing fleet. They will develop models to predict build quality and detect anomalies to drive manufacturing actions.

What you will do

• Own the monitoring and analytics layer for the AM fleet
• Own curated datasets, feature definitions, labeling, and dataset versioning
• Design, develop, and deploy AI/ML models to predict build quality and detect anomalies
• Build and maintain feature engineering and model infrastructure
• Develop process monitoring dashboards and AI-driven alerting
• Integrate model outputs back into OPUS and the manufacturing workflow
• Collaborate with Materials and Process and Application Engineering to validate model outputs
• Apply SPC to AM process data and establish control limits
• Supply capability, repeatability, and process analysis for qualification
• Lead structured problem-solving on process escapes and build anomalies

Required qualifications

• Bachelor's degree in Manufacturing Engineering, Computer Science, Data Science, Materials Science, or related field
• 4+ years in manufacturing data systems, process engineering, or data-driven manufacturing in a production environment
• Hands-on experience developing and deploying AI/ML models in an engineering or manufacturing context
• Proficiency in Python and relevant ML frameworks (scikit-learn, TensorFlow, PyTorch, or equivalent)
• SQL fluency for working with manufacturing data at scale
• Experience building analytical datasets from structured and time-series manufacturing data
• Familiarity with structured problem-solving methodologies (8D, 5 Whys, fishbone)
• Familiarity with statistical process control
• Strong analytical skills
• Must be a U.S. person for ITAR purposes

Nice to have

• Experience applying AI/ML to metal additive manufacturing
• Background with in-situ process monitoring data
• Experience supporting qualification data packages for aerospace, defense, or regulated manufacturing environments
• Familiarity with AMS7032, NIAR/NCAMP, or US Navy AM qualification requirements
• Experience with MLOps practices
• Experience with closed-loop or feedback control of a manufacturing process using model output

Benefits

• Medical, dental, vision, and life insurance plans
• 401k
• Relocation support may be provided for certain situations
• Flexible vacation policy
• Equity

Before you apply

• Must be a U.S. person for ITAR purposes (U.S. citizen, lawful permanent resident, protected individual, or otherwise eligible to obtain required authorizations)

About the company

Hadrian is building autonomous factories to reindustrialize America by combining AI, advanced software, robotics, and full-stack manufacturing.