Yield Optimization Engineer

2 weeks ago


Tempe, Arizona, United States Renesas Electronics Full time
Job Overview

Company Overview:
Renesas is a leading global semiconductor organization dedicated to fostering a safer, healthier, and smarter world. Our mission is to enhance every endpoint's intelligence by providing innovative product solutions across automotive, industrial, infrastructure, and IoT sectors. Our extensive product range includes industry-leading MCUs, SoCs, analog and power solutions, as well as Winning Combination solutions that integrate these complementary offerings. We are a vital partner to the world's foremost electronics manufacturers, whose products you depend on daily.

With a workforce of approximately 21,000 employees across more than 30 countries, Renesas embodies a culture grounded in five core principles: Transparency, Agility, Global Perspective, Innovation, and Entrepreneurship. We are committed to diversity and inclusion, with dedicated initiatives and leadership focused on these values. At Renesas, we aim to create a sustainable future where technology simplifies our lives. Be part of the evolution in electronics and contribute to what’s next.

Role Responsibilities:

As a Yield Optimization Engineer, your primary focus will be on the deployment of cloud-based yield tools, enhancing foundry yield, providing data mining support for fabrication escalations, and delivering training on yield tools.

Key Responsibilities:

  • Lead initiatives to reduce foundry defect density.
  • Examine discrepancies between defect-driven yield and actual ATPG yield to address process and defect issues impacting yield enhancement.
  • Collaborate with foundry process engineers, test engineers, and technical managers to design experiments aimed at yield improvement.
  • Engage with foundries on WAT and inline monitoring.
  • Drive improvements in foundry yield and gross margin.
  • Support data analytics for foundry excursions and RMA cases, collaborating with foundry managers and quality assurance for lot disposition.
  • Assist in safe launch data analytics during foundry/fab transfers.
  • Perform D0 yield calculations for new initiatives.
  • Maintain comprehensive documentation of yield analyses, experiments, and corrective measures for ongoing reference and enhancement.
  • Ensure data integrity and loading for foundry projects.
  • Provide consultations on PDF Exensio for product and test teams.
  • Develop custom templates for PDF Exensio as required.
Performance Metrics:
  • Enhance D0 defect density performance across devices.
  • Monitor and report on high runner WS yield, addressing low yield issues with foundries weekly.
  • Identify and implement yield improvement initiatives.
  • Support quality assurance in RMA-related fabrication cases.
Qualifications:
  • Master's degree in electrical engineering or a related technical field, or equivalent experience in electronics, physics, chemistry, or mechatronics.
  • 1-3 years of experience in integrated circuit manufacturing and development.
  • Strong understanding of semiconductor fabrication processes and technologies.
  • Proficient in statistical analysis tools and techniques, particularly in PDF Exensio Yield tools.
  • Excellent communication and collaboration abilities.
  • Capacity to thrive in a fast-paced, dynamic environment.
  • Robust analytical and statistical skills.

Additional Information:
Renesas Electronics Corporation is committed to a safer, smarter, and more sustainable future where technology enhances our daily lives. As a premier global provider of microcontrollers, we leverage our expertise in embedded processing, analog, power, and connectivity to deliver comprehensive semiconductor solutions. Our Winning Combinations accelerate time to market for automotive, industrial, infrastructure, and IoT applications, enabling billions of connected, intelligent devices that improve how people work and live. Learn more about our mission and culture, which emphasizes Transparency, Agility, Global Perspective, Innovation, and Entrepreneurship.



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