Automation Engineer
Core
Analyze production data to identify yield, cycle time, and cost improvement opportunities on assigned manufacturing lines while building and deploying machine learning models for manufacturing use cases.
Role type
Automation Engineer (Manufacturing/Industrial)
Builds
Machine learning models for yield prediction and defect detection; real-time dashboards and data pipelines; automation and Industry 4.0 initiatives.
Domain
Semiconductor/Electronics Manufacturing
Deliverable
production ML models
Required skills
Lean Six Sigma (DOE, root-cause analysis), Statistical Process Control (SPC, Cpk), Python, SQL, data visualization, machine learning (classification, regression, computer vision), root-cause methods (8D, DMAIC, FMEA)
Preferred skills
Green Belt certification, semiconductor/electronics manufacturing experience
Technologies
Python, SQL, Minitab, JMP, Excel, Power BI
Responsibilities
Plan and execute Lean, Six Sigma, and TPM projects; build and deploy ML models for manufacturing; develop real-time dashboards and data pipelines; support automation and Industry 4.0 initiatives; maintain and improve SPC systems; investigate process-related yield and quality excursions; support process qualification for new product introduction.
Seniority
Mid-level (2–5 years experience)