Driving yield improvement across APTM's portfolio of advanced packaging technologies.
Set priorities for the team and demonstrate progress to key yield milestones.
Define goals and roadmap for yield improvement for new packaging process technology.
Independently drive recommendations and influence the Yield improvement roadmap.
Establish relationships between critical material, tool, and process modulators on yield.
Provide process development direction throughout the whole lifecycle of a technology.
Perform statistical analysis, develops visualizations and presentations for process development.
Extract insights from structured and unstructured data using statistics and machine learning.
Develop systems to transform complex data into yield improvement actions.
Requirements
Must possess a bachelor’s degree with 4+ years of relevant experience, OR Master's Degree with 3+ years of relevant experience, OR PhD Degree in Materials Science and Engineering or Mechanical Engineering or Computer Science or Information Systems or Chemical Engineering or Electrical Engineering or Chemistry or Physics or any other related discipline.
Applying materials, tools and process fundamentals and design process interactions to drive yield improvement projects.
Applying advanced data systems, tools and techniques for yield improvement.
Develop and deploy software related to Yield reporting and automated commonality analysis.
Prior experience and ability to manage, mentor and coach technical engineers.
Detailed knowledge of substrate and/or assembly and/or fab back end processes.
Sense of ownership and experience working with partners to drive yield improvement.
Prior experience in integration, yield, or module engineering roles.
Data systems and analytics, Python, machine learning techniques, yield improvement methodologies.
Experience with JMP, JSL, SQL, Python programming.