AI-Driven Manufacturing Data & Process Engineer

Hadrian Automation; Torrance (CA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Relocation support

Flexible vacation

Equity

Job summary

Hadrian is building autonomous factories to reindustrialize America, and this role advances the AI/ML stack to predict build quality and detect process anomalies using Hadrian manufacturing data. You will own data pipelines, model deployment, and dashboards for real-time visibility in a production setting.

Located on site in Torrance, CA, you will collaborate with engineering teams to drive closed-loop parameter optimization and validate outputs with Materials and Process specialists in an

Qualifications

• Bachelor’s degree in Manufacturing Engineering, CS, Data Science, or related field.
• 4+ years in manufacturing data systems 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 ML frameworks, and SQL fluency for working with manufacturing data at scale.
• Experience building analytical datasets from structured and time-series manufacturing data.
• Familiarity with 8D, 5 Whys, fishbone and statistical process control.
• Strong analytical skills with ability to connect model outputs to physical process understanding.
• Ability to work on site full time in Torrance, California, with travel up to 15%.
• Must be a U.S. person for ITAR purposes.

Responsibilities

• Own the monitoring and analytics layer for the AM fleet, defining what is surfaced and when to alert.
• 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 model infrastructure, data quality checks, labeling workflows, and versioning.
• Develop monitoring dashboards and AI-driven alerting for real-time visibility.
• Integrate model outputs back into OPUS and the manufacturing workflow for action.
• Collaborate with Materials and Process to validate model outputs against physical knowledge.
• Apply SPC to AM process data and establish control limits and drift detection.
• Support qualification data analysis for installation and operational qualification.
• Lead data-driven problem solving using 8D, 5 Whys, and fishbone techniques.

Skills

Python

SQL

ML Frameworks

Data analysis

Analytical thinking

Problem solving

Education

Bachelor's degree in Manufacturing Engineering or related field

Tools

TensorFlow

PyTorch

Pandas

Job description

Hadrian is building autonomous factories to reindustrialize America, and this role advances the AI/ML stack to predict build quality and detect process anomalies using Hadrian manufacturing data. You will own data pipelines, model deployment, and dashboards for real-time visibility in a production setting.

Located on site in Torrance, CA, you will collaborate with engineering teams to drive closed-loop parameter optimization and validate outputs with Materials and Process specialists in an