Manufacturing Engineer: Lean Six Sigma, ML & Industry 4.0

Renesas Electronics Corporation; Malaysia; Remote; MYR 70,000 - 100,000; Full time

Job summary

Renesas Electronics Corporation in Penang, Malaysia is seeking a Process Engineer to analyze production data, lead Lean Six Sigma and TPM initiatives, and develop ML-based solutions to improve yield and cost efficiency on manufacturing lines.

You will collaborate with Data Science/IT, maintain SPC, deploy real-time dashboards, and support Industry 4.0 projects including MES integration and automation, while working on the shop floor with operators and engineers.

Qualifications

• Bachelor’s degree in Industrial, Manufacturing, Electrical, Mechanical, or SW Engineering, Computer Science, or a related technical field.
• 2–5 years of experience in manufacturing, process, or industrial engineering, ideally in semiconductor or electronics manufacturing.
• Hands-on experience with Lean Six Sigma tools (DOE, root-cause analysis, value stream mapping); Green Belt or working equivalent preferred.
• Practical experience building or deploying machine learning models (e.g., classification, regression, computer vision) using Python and common ML libraries.
• Working knowledge of statistical process control (SPC), process capability (Cpk) analysis, and data visualization tools.
• Strong data analysis skills (Python, SQL, Minitab, JMP, or Excel/Power BI at minimum).
• Comfortable working directly on the shop floor with equipment, operators, and production data.

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.

Job description

Renesas Electronics Corporation in Penang, Malaysia is seeking a Process Engineer to analyze production data, lead Lean Six Sigma and TPM initiatives, and develop ML-based solutions to improve yield and cost efficiency on manufacturing lines.

You will collaborate with Data Science/IT, maintain SPC, deploy real-time dashboards, and support Industry 4.0 projects including MES integration and automation, while working on the shop floor with operators and engineers.