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

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. 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.

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

• Proficiency in Python and relevant ML frameworks (scikit-learn, TensorFlow, PyTorch, or equivalent), and SQL fluency for working with manufacturing data at scale
• Ability to work on site full time in Torrance, California, with travel up to 15% [CONFIRM]
• 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
• Experience building analytical datasets from structured and time-series manufacturing data, including handling of gaps, resampling, and data quality problems
• 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 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
• Familiarity with AMS7032, NIAR/NCAMP, or US Navy AM qualification requirements
• Experience with MLOps practices — model versioning, monitoring, retraining pipelines, and production deployment
• Experience with closed-loop or feedback control of a manufacturing process using model output