Manufacturing Engineer

Key Responsibilities

• Analyze production data to identify yield, cycle time, and cost improvement opportunities on assigned manufacturing lines.

• Plan and execute Lean, Six Sigma, and TPM projects — from DOE design through implementation and results validation — as part of the site’s Operational Excellence roadmap.

• Build and deploy machine learning models for manufacturing use cases — e.g., yield prediction, computer-vision defect detection, and anomaly/excursion detection — in partnership with Data Science/IT.

• Develop real-time dashboards, automated reports, and data pipelines that give engineers and operators faster visibility into process performance.

• Support automation and Industry 4.0 initiatives — MES integration, IIoT sensor deployment, and robotics/automated material handling — from pilot through production rollout.

• Maintain and improve statistical process control (SPC) systems, monitoring process capability (Cpk) and flagging out-of-control conditions.

• Investigate process-related yield and quality excursions using structured root-cause methods (8D, DMAIC, FMEA) and implement corrective/preventive actions.

• Support process qualification and control plans for new product introduction (NPI) and process changes.

• Partner with Equipment/Maintenance and Quality teams to troubleshoot equipment-related process issues.

• Document standard work, process specifications, and lessons learned to support knowledge transfer and training.

• Present project results and improvement recommendations to the Process Engineering Manager and cross-functional stakeholders.

Function: Manufacturing
Experience Level: Associate