Integrated Yield Ram Consulting Engineer

PDF Solutions • Santa Clara, CA

17d • 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 Electrical/Electronic Engineering, Applied Physics, Materials Science Engineering or closely related STEMS field.
• Qualified candidate must also have working knowledge of the following technologies
• Data Analytics
• Semiconductor Physics
• Semiconductor Devices
• Semiconductor Process Flow
• Semiconductor Nanostructures
• Circuits
• Data Science
• Machine Learning
• Artificial Intelligence
• Python Programming

Responsibilities

• Work closely with internal Research & Development (R&D) team, field service team to ensure successful deployment of the company’s technology/solution, especially new solutions/capabilities, using Data Analytics, Semiconductor Physics, devices, process flow, semiconductor Nanostructures and Circuits.
• Understand deployment scope, schedule, and success criteria, and map into detailed execution plan including internal and external
• Coordinate with internal and external team to ensure project is on schedule to achieve success.
• Serve as point of contact for customers for effective technical assistance with customers using Data Analytics, Data Structure and Python programming.
• Diagnose and resolve technical issues, collaborating with cross function teams, as needed
• Development and deploying of Artificial Intelligence/Machine Learning(ML) solutions using Python or other programming devices.

What This Job Offers

• Job Type: Full-time