Yield Development Engineer

What you'll do

• Analyze manufacturing data, identify defect modes and yield limiters, and develop yield models and multivariate algorithms.
• Conduct fault isolation and failure analysis, collaborating across engineering teams to resolve yield issues and improve manufacturability.
• Develop tools and yield strategies, support new product introductions, and drive process optimization.

What they ask for

• Bachelor's degree in Engineering, Physical Sciences, Computer Science, or a related field plus 3+ years of relevant experience; or Master's degree in those fields plus 2+ years; or PhD in those fields.
• 1+ years of experience in at least one of: data analysis systems and machine learning techniques; optical probing or metrology; Statistical Process Control (SPC) and Design of Experiments (DOE); or full-stack application development, software architecture, and cloud-based platforms.

Nice to have

• PhD in a relevant field plus 2+ years of semiconductor processing, semiconductor devices, or nanotechnology experience.
• 1+ years of experience in fault isolation and failure analysis tools and techniques, such as electrical testing and layout studies.

Pay

$115,110.00-219,550.00 USD (total compensation)

Tools

machine learning, Statistical Process Control (SPC), Design of Experiments (DOE), cloud-based platforms

AI focus

Applies machine learning and statistical methods to analyze manufacturing data and identify yield limiters.