Field Application Engineer

PDF Solutions • Santa Clara, CA

4d • Onsite

About The Position

At PDF Solutions, we are at the forefront of revolutionizing the semiconductor industry. Our cutting-edge technologies and data-driven solutions empower semiconductor manufacturers to achieve unprecedented levels of efficiency, quality, and innovation. By joining our team, you'll have the opportunity to work with some of the brightest minds in the industry, tackle complex challenges, and contribute to groundbreaking advancements that shape the future of technology. Headquartered in Santa Clara, California, PDF Solutions also operates worldwide in Canada, China, France, Germany, Italy, Japan, Korea, and Taiwan.

Requirements

• Position requires a Master’s degree in Material Science Engineering and Technology Management, Electrical Engineering or closely related STEM field.
• Qualified candidate must also have working knowledge of the following technologies
• Project Management
• Data Science
• Process Control
• Data Analytics
• Statistical Control
• Silicon Processing
• Taguchi Loss Function
• Design of Experiments
• Secondary Electron Microscopy
• Optical Microscopy
• Spectroscopy
• Six Sigma
• Agile Methodologies

Responsibilities

• Work closely with internal Research & Development (R&D) team, field service team, to ensure successful deployment of technology/solution, especially new solutions/capabilities evaluating the suitability of clients’ semiconductor manufacturing tools for the Exensio platform, ensuring the data pipeline from the clients’ site to the Exensio platform, analyzing data to demonstrate value on the Exensio platform, and exploring new capabilities from existing Best Known Method solutions.
• Coordinate with internal and external team to ensure project is on schedule. Brainstorm new applications for process control, yield diagnostic, testing efficiency, in-field monitoring, and other using new and existing data sources for semiconductor industry. Explore the application of Exensio Manufacturing Analytics and Exensio Process Control in small volume run experiments to enhance equipment stability and predict process outcomes such as etch rate or selectivity. Apply clustering algorithms to parametric test data from commercial fabs using Python scripts, providing clients with valuable insights into the correlations between different steps of the parametric test to improve process efficiency and product quality.
• Oversee the data pipeline from measurement and monitor data quality and health of tool using Statistical Control, Quality improvement and silicon processing.
• Perform R&D and experiments for improving and optimizing recipes based on data analysis using Taguchi Loss Function and Design of Experiments.
• Inspect tools, including Secondary Electron Microscopy Optical Microscopy and Spectroscopy.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level