Manufacturing Data & Process AI Integration System Engineer, Additive Manufacturing
Los Angeles, CA$135k - $220kFull-timePosted 3w ago
About the role
Engineering role focused on designing, deploying, and supervising AI/ML-driven data systems for additive manufacturing within Hadrian's autonomous factory platform, with on-site responsibilities in Los Angeles area and collaboration across Materials & Process, Application Engineering, and manufacturing operations.
Responsibilities
- Monitoring and Analytics Layer: Own the monitoring and analytics layer for the AM fleet — what is computed from raw machine and build data, what is surfaced, and what triggers an alert, at the fidelity traceability and modeling require.
- Analytical Data Layer: Own the curated datasets, feature definitions, labeling, and dataset versioning, built on the canonical machine data model and pipelines owned by the Machine Controls & Data Integration Engineer.
- AI/ML Model Development: Design, develop, and deploy models trained on Hadrian manufacturing data to predict build quality, detect process anomalies, and identify parameter optimization opportunities.
- Model Infrastructure: Build and maintain the feature engineering and model infrastructure — data quality checks, labeling workflows, model versioning, and model performance tracking in production.
- Dashboards and Alerting: Develop process monitoring dashboards and AI-driven alerting that give engineering and operations real-time visibility into machine and build health.
- Closing the Loop: Integrate model outputs back into OPUS and the manufacturing workflow so predictions drive action, and work toward closed-loop parameter adjustment.
- Physical Validation with M&P: Collaborate with Materials and Process and Application Engineering to validate model outputs against physical process knowledge before they influence production decisions.
- Statistical Process Control: Apply SPC to AM process data, and establish the control limits and drift detection that flag a machine leaving its qualified operating envelope.
- Qualification Analysis Support: Supply capability, repeatability, and process analysis in support of qualification — machine capability data to the System Qualification Engineer for installation and operational qualification, and performance qualification analysis support to Materials and Process and Application Engineering for customer data packages.
- Data-Driven Problem Solving: Lead structured problem-solving on process escapes and build anomalies using 8D, 5 Whys, and fishbone analysis, driving corrective and preventive action to verified closure.
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, including model training, validation, and production deployment.
- Proficiency in Python and relevant ML frameworks (scikit-learn, TensorFlow, PyTorch, or equivalent), and SQL fluency for working with manufacturing data at scale.
- Experience building analytical datasets from structured and time-series manufacturing data, including handling of gaps, resampling, and data quality problems.
- Familiarity with structured problem-solving methodologies (8D, 5 Whys, fishbone) and statistical process control.
- Strong analytical skills, with the ability to connect model outputs to physical process understanding and actionable engineering decisions.
- Ability to work on site full time in Torrance, California, with travel up to 15%
- 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.
Skills
Required:PythonML frameworksSQLData modeling and feature engineeringStatistical Process Control8D, 5 Whys, fishbone analysis
Benefits
- Medical, dental, vision, and life insurance plans for employees
- 401k
- Relocation support may be provided for certain situations, based on business need
- Flexible vacation policy
- Equity
Last updated Sep 30, 2026. Interested? Apply on the company site.
About Hadrian Automation
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