Sanmina Corporation is seeking to improve yield in their PCB manufacturing process by analyzing manufacturing data and developing reports, dashboards, and apps to provide process trends and KPIs.
Requirements
- Experience working with large, complex data sets.
- Strong data analysis skills and proficiency with tools such as JMP, Minitab, Excel, SQL, Power BI, and Python.
- Experienced in statistical data analysis and Design of Experiments
- Experience developing dashboards and interfacing with equipment to automate data compilation.
Responsibilities
- Implement new methods and capabilities for enabling efficient analysis of manufacturing data for yield improvement. Drive the automated publication of standard yield metrics and KPI’s across the factory (PCB fabrication and final test).
- Develop dashboards and applications to clearly communicate process and equipment health to the Process Engineering and Operations teams.
- Drive understanding of the relationship between design attributes and yield. Work with Product Engineering and Process Engineering to translate design attributes into design rules to choose optimal fabrication process flows. Develop rules to flag designs in the design-phase that are at the edge or outside of current factory capabilities.
- Review first article yields vs predicted yields. Develop a feedback loop to correct the yields and improve the yield prediction formulas by understanding design attribute dependence on yield points.
Other
- Bachelor’s degree in an engineering discipline, preferably Electrical, Chemical, Mechanical, Industrial or Materials Science Engineering.
- A self-starter with good written and oral communication skills.
- US Citizen or a lawful permanent resident due to ITAR facility requirements.
- Travel requirements not specified, but may be required for collaboration with other teams.
