Sr. Defect Engineer at SkyWater Technology – Bloomington, MN

Sr. Defect Engineer at Sky Water Technology – Bloomington, MN, 55425, US

Bold Thinking. World Changing. At Sky Water, our ingenuity helps improve lives around the world by manufacturing U.S. made semiconductors that are essential ingredients of modern life. Automotive safety enhancements, life‑saving medical devices, consumer electronics and American security require semiconductors. Working in our Minnesota headquarters or Florida location, employees join together to improve the world.

Explore what’s possible. Joining our U.S. – based team means contributing to and learning about the commercialization of some of the most exciting technologies the world has ever seen. We are turning “science fiction” into everyday reality through technologies such as superconducting, 3D integrated circuits or computer chips, carbon nanotubes, photonic logic devices, micro electro‑mechanical systems and other emerging device topologies.

We manufacture products for aerospace and defense, medical, automotive, consumer and industrial markets, to name a few. Our customers include emerging leaders who rely on our intellectual property security and quality manufacturing services.

Step into the future. Sky Water’s values of Integrity, Excellence, Collaboration, Empowerment and Growth Mindset guide us to cultivate an empowered, learning environment. We also invest in developing highly skilled, dedicated employees — and employees who are entering the workforce for the first time, from the military, and a variety of educational backgrounds.

Are you bold thinking? Find your place on our team and help us change the world!

Sky Water Technology’s Defect Team is seeking an innovative Defect Engineer with a strong background in data science/analytics and semiconductor processing. In this role, you will be the primary owner of the quality and integrity of defect data generated from our defect metrology tools. You will drive yield improvements by ensuring high‑quality data collection from these advanced tools, developing novel defect recipes tailored for complex, non‑traditional processes, and integrating new defect metrology tools and technologies into our operations.

This role involves close collaboration with equipment engineers, defect technology owners, and other key stakeholders to develop innovative inspection methodologies, validate new tool data, and implement robust data validation protocols that support our yield improvement initiatives.

• Data Quality Ownership
  • Serve as the primary custodian for the quality, accuracy, and consistency of defect data generated from our defect metrology tools.
  • Implement and maintain rigorous data validation protocols, continuously monitoring data integrity to support reliable process insights.
• Novel Defect Recipe Development
  • Design, develop, and implement innovative defect inspection recipes specifically for our defect metrology tools to address challenges in complex, non‑traditional semiconductor processes.
  • Leverage deep technical expertise to tailor recipes for emerging technologies, ensuring optimal defect detection and classification.
• Integration of New Defect Metrology Tools
  • Identify, evaluate, and introduce new types of defect metrology tools to enhance process monitoring and yield improvement.
  • Collaborate with equipment engineers, defect technology owners, vendors, and cross‑functional teams to pilot, qualify, and integrate novel defect metrology tools while ensuring consistent data quality.
• Strategic Defect Reduction Roadmap
  • Develop and execute a comprehensive defect reduction roadmap that aligns with yield improvement objectives through precise data analysis and innovative defect recipe formulation.
• Collaborative Data Analysis & Process Improvement
  • Partner with equipment engineers, defect technology owners, process engineers, and fab operations to interpret defect metrology data, integrate findings into process control systems, and drive actionable insights for yield enhancements.
  • Utilize statistical process control (SPC) and advanced data analytics (using tools such as Python, SQL, JMP, etc.) to identify trends, diagnose root causes, and recommend effective…