Additionalinformation

Additional Information

Key Responsibilities

Foundry Yield Improvement

• Monitor and analyze manufacturing yield, defect, inline, electrical test, wafer sort, and related production data.

• Identify yield-loss mechanisms and improvement opportunities through statistical analysis, wafer-level analysis, correlation, and data mining.

• Partner with foundries and internal engineering teams to develop and implement yield-improvement actions.

• Benchmark foundry performance and identify opportunities to improve yield entitlement and manufacturing cost.

NPI, Manufacturing Transfer & Safe Launch

• Support new product introduction, manufacturing transfer, qualification, safe launch, and production ramp activities.

• Develop data-analysis and monitoring plans to assess manufacturing readiness and identify potential risks.

• Track yield and manufacturing performance during product introduction and ramp and drive issues to closure.

• Support qualification and transfer schedules through effective collaboration with foundry and internal stakeholders.

Yield Excursion & Quality Support

• Perform timely analysis of low-yield events, manufacturing excursions, abnormal defect patterns, and other quality-related issues.

• Correlate manufacturing, electrical, and test data to support root-cause identification.

• Work with foundry, Product Engineering, Quality, Test Engineering, and other technical teams on containment, corrective actions, and continuous improvement.

• Provide data-driven technical recommendations for manufacturing disposition and risk assessment.

Data Analytics & Yield Engineering Tools

• Apply statistical and visualization tools such as JMP, Spotfire, Exensio/PDF, or equivalent platforms for yield analysis and data mining.

• Develop and improve reusable analysis methods, dashboards, and reports to increase engineering efficiency.

• Support evaluation, user acceptance testing, and deployment of new yield-analysis capabilities and engineering tools.

• Explore automation and AI/ML-assisted approaches to improve yield analytics and engineering productivity.

Technical Leadership & Cross-Functional Collaboration

• Serve as a technical interface between external foundries and internal engineering organizations.

• Lead or participate in regular technical interlock meetings covering yield, manufacturing capacity, excursions, NPI, and manufacturing transfers.

• Communicate technical findings, risks, recommendations, and improvement plans clearly to engineering teams and management.

• Develop and maintain engineering documentation, analysis methodologies, and best practices.

Renesas is an embedded semiconductor solution provider driven by its Purpose, To Make Our Lives Easier. With a global team of over 21,000 engineers and problem solvers in more than 30 countries, we offer the opportunity to work on world‑leading technology for Automotive, Industrial, Infrastructure, and IoT, shaping a safer, healthier, greener, and smarter future.

At Renesas, TAGIE is our culture, grounded in being Transparent, Agile, Global, Innovative, and Entrepreneurial. It shapes how we work, grow and deliver on our purpose together. This collaborative spirit and mindset drive our semiconductor technology to transform industries and impact millions of lives.

We believe in rewarding our employees with a competitive benefits package alongside their salary. More information will be provided during the hiring process.

Are you ready to join our team and shape the future with us?

Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our Diversity & Inclusion Statement.

Renesas Electronics deals with dual-use technology that is subject to U.S. export controls regulations. Under these regulations it may be necessary for Renesas to obtain U.S. government export license prior to release of technology to certain persons. The decision whether or not to file or pursue an export license application is at the sole discretion of Renesas.

Companydescription

Company Description

Jobdescription

Job Description

We are seeking a Staff Foundry Yield Engineer to join our Foundry Yield Engineering team. The position is responsible for driving yield improvement, supporting new product introduction and manufacturing transfers, performing yield and defect data analysis, and providing technical support for foundry manufacturing issues.

The engineer will work closely with external foundry partners and cross-functional internal teams to ensure robust manufacturing performance, successful product ramp, effective excursion resolution, and continuous improvement in yield, quality, cost, and engineering efficiency.

Qualifications

• Bachelor's or Master's degree in Electrical Engineering, Microelectronics, Semiconductor Engineering, Materials Science, Physics, or a related technical field.

• Solid understanding of semiconductor manufacturing processes, device fundamentals, and manufacturing/yield engineering.

• Relevant experience in semiconductor yield engineering, process engineering, process integration, product engineering, or foundry engineering.

• Strong experience with manufacturing and yield data analysis, including inline, electrical test, wafer sort, defect, and wafer-level data.

• Strong statistical problem-solving and root-cause-analysis skills.

• Experience with statistical/data-analysis tools such as JMP, Spotfire, Exensio/PDF, or equivalent.

• Demonstrated ability to work effectively with external manufacturing partners and cross-functional engineering teams.

• Strong written and verbal communication skills.

Preferred Qualifications

• Experience working with semiconductor foundries or outsourced wafer manufacturing.

• Experience with NPI, manufacturing transfer, qualification, safe launch, and production ramp.

• Knowledge of SPC, Cp/Cpk, D0/defect-density analysis, wafer-map analysis, correlation analysis, and statistical data mining.

• Experience resolving complex manufacturing yield excursions and driving corrective actions.

• Experience developing automated data-analysis or reporting workflows.

• Exposure to AI/ML-assisted semiconductor data analytics is a plus.

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