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Manufacturing Data & Process AI Integration System Engineer (Additive Manufacturing)

Hadrian

Skills

Required

  • manufacturing data
  • ML
  • AI/ML
  • model output
  • Python
  • ML frameworks
  • SQL
  • manufacturing data systems / data-driven manufacturing
  • scikit-learn
  • TensorFlow
  • PyTorch
  • process engineering
  • model training

Preferred

  • monitoring
  • statistical process control
  • 8D
  • 5 Whys
  • fishbone
  • metal additive manufacturing
  • melt pool monitoring / process parameter optimization
  • in-situ process

Join our team as a Manufacturing Data & Process AI Integration System Engineer, specializing in Additive Manufacturing. You will be responsible for owning the monitoring and analytics layer for the AM fleet, developing analytical datasets, designing and deploying AI/ML models, and integrating model outputs back into the manufacturing workflow. You will also collaborate with Materials and Process and Application Engineering to validate model outputs and apply statistical process control to AM process data.

Own the monitoring and analytics layer for the additive manufacturing fleet, including data computation, surfacing, and alert triggers.

Ability to work on site full time in Torrance, California, with travel up to 15% [CONFIRM]

Responsibilities

  • Design, develop, and deploy AI/ML models trained on manufacturing data to predict build quality, detect process anomalies, and identify optimization opportunities.
  • Collaborate with Materials and Process and Application Engineering to validate model outputs against physical process knowledge before they influence production decisions.
  • Experience building analytical datasets from structured and time-series manufacturing data, including handling of gaps, resampling, and data quality problems

Requirements

  • This position requires proficiency in Python, relevant ML frameworks, and SQL, as well as a bachelor's degree in a related field and 4+ years of experience in manufacturing data systems or data-driven manufacturing.
  • Proficiency in Python and relevant ML frameworks (scikit-learn, TensorFlow, PyTorch, or equivalent), and SQL fluency for working with manufacturing data at scale
  • 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, including model training, validation, and production deployment
  • Bachelor's degree in Manufacturing Engineering, Computer Science, Data Science, Materials Science, or related field
  • Strong analytical skills, with the ability to connect model outputs to physical process understanding and actionable engineering decisions
  • Must be a U.S. person for ITAR purposes — a U.S. citizen, lawful permanent resident, protected individual as defined by 8 U.S.C. 1324b(a)(3), or otherwise eligible to obtain the required authorizations from the U.S. Department of State
  • Familiarity with AMS7032, NIAR/NCAMP, or US Navy AM qualification requirements
  • Experience with closed-loop or feedback control of a manufacturing process using model output

Preferred

  • Familiarity with structured problem-solving methodologies (8D, 5 Whys, fishbone) and statistical process control
  • Experience applying AI/ML to metal additive manufacturing — build quality prediction, anomaly detection, melt pool monitoring, or process parameter optimization
  • Background with in-situ process monitoring data: layer imaging, thermal sensing, acoustic emissions, or scanner and galvanometer telemetry
  • Experience supporting qualification data packages for aerospace, defense, or regulated manufacturing environments
  • Experience with MLOps practices — model versioning, monitoring, retraining pipelines, and production deployment

Pay

USD 135,000 - 220,000