FDC Data Engineer Semiconductors

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The opportunity:

Within our BiMOS Front End semiconductor manufacturing we are strengthening our datadriven process control capabilities and are looking for a motivated engineer to implement comprehensive Fault Detection & Classification (FDC) this position you will play a key role in implementing and maintaining FDCbased process monitoring and control by developing extraction routines that transform time-series equipment data into meaningful process parameters. The implementation of the FDC framework is not just an operational improvement but a strategic enabler for advanced analytics machine learning and cloud-based data visualization that supports Lean to Scale and facilitates datadriven improvements in yield and product quality.

How youll make an impact:

• Collaborate closely with process engineers maintenance engineers product engineers and factory IT to understand semiconductor production processes data pipelines and FDC programming.

• Develop test and deploy FDC extraction routines for processes in a production environment. Configure extraction logic to define process triggers and substeps extract relevant timeseries process parameters perform mathematical transformations and send validated results back to equipment integration systems making it available for the process control using statistical process control (SPC) software.

• Support postproduction FDC extraction rollout collect feedback after deployment and optimize extraction routines as required in coordination with process experts.

• Create and maintain detailed technical documentation of process recipes and corresponding FDC extraction files in Azure DevOps.

• You will be responsible to ensure compliance with applicable external and internal regulations procedures and guidelines.

• Living Hitachi Energys core values of safety and integrity which means taking responsibility for your own actions while caring for your colleagues and the business.

Your background:

• You hold a bachelors degree in engineering or computer science or a related technical field; or a masters degree (ME/MTech/MS) in physics or engineering.

• Minimum 3 to 5 years of experience is required.

• He/ she should have knowledge with programming languages such as C# or Python.

• Must have knowledge and experience working with Azure DevOps and Git.

• Prior knowledge of semiconductor manufacturing processes and experience with Manufacturing Execution Systems (MES) is preferred.

• Experience with process monitoring and control using SPC software exposure to industrial data analytics FDC systems using scalable machine learning initiatives are preferred.

• Ability to work effectively as a team player in a crossfunctional manufacturing environment.

• Strong documentation and communication skills.

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