Yield Enhancement Systems Engineer

onsemi is seeking a Yield Systems Application Engineer to join the Corporate Yield Enhancement Systems team. This team supports front-end and back-end yield applications and methodologies for wafer fab and assembly/test operations and quality organizations. The role is expected to serve as the business partner to IT, quality, engineering and manufacturing organizations.

The team partners closely with the IT organization to establish data standards, integrate data into corporate yield databases, maintain data quality, and improve the effectiveness of onsemi yield tools.

Key Collaboration Areas

The candidate will work closely with IT, quality, product engineering, and manufacturing engineering teams to define, deploy, and continuously improve best practices within onsemi yield management infrastructure.

- Bachelor's Degree in Electrical, Mechanical or Chemical Engineering, Computer Science

- 5+ years of experience in the semiconductor industry.

- Familiarity with end-to-end semiconductor supply chain manufacturing processes & data, from substrate manufacturing through package assembly & test

- Experience leading engineering activities for projects involving data integration, data quality improvement, yield analysis, quality improvements (required)

- Experience with yield solutions architecture & design

- Familiarity with industry best practices for maximizing analytics efficiency using automation and intuitive solutions design

- Demonstrate effective use of collaboration tools such as Confluence and SharePoint

- Experience with database design and retrieval languages including Oracle, Snowflake, Databricks, MS-SQL.

- Familiarity with enterprise semiconductor yield analysis tools such as Exensio Yield, Optimal Plus, Klarity

- Familiarity with business intelligence tools (Spotfire [Preferred], Tableau, PowerBI)

- Familiarity with product lifecycle management tools such as Agile

- Familiarity of semiconductor test data log types such as STDF, Eagle test data logs, etc..

- Familiarity with IT development life cycle management and tools such as Jira, Git/Bitbucket, Azure DevOps

- Proficiency with programming and scripting languages such as Python, Perl, R, Java, BASH.