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Product Engineer - Fab Analytics

Job Description

During the current global health crisis, the priority for Siemens Digital Industries Software is the health and well-being of our entire community including current and future employees, which may add time to our hiring processes.  We appreciate your patience and invite you to visit our website to learn more about how Siemens is responding to the pandemic. 

“At Siemens, we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow‘s reality. Find out more about the Digital world of Siemens here: www.siemens.com/careers/digitalminds

The Product Engineer will report to the product marketing director but take day-to-day guidance from the relevant product manager. The product engineer’s role is to support the product through its life cycle by performing the following tasks: Learning about the application field for the products through interaction with customers, other Mentor engineers, and industry peers, through independent literature research, and by attending relevant technical conferences.

Job Responsibilities
  • Understanding how the product interacts within the application field to be able to communicate customer requirements to R&D.
  • Demonstrate product features to customers and collect feedback about product applicability and requirements.
  • Contributing to application development and functional validation of software solutions developed by the engineering team.
  • Developing test cases for the quality assurance group in their testing of user scenarios.
  • Filing enhancement and defect reports to address product gaps and defects; work with R&D to communicate requirements and test prospective solutions.
  • Providing applications engineer training and support for product deployment.
Job Qualifications
  • Master’s degree in Chemistry, Material Science, Physics, Electrical Engineering or Computer Science with 5-10 years’ prior experience in a semiconductor fab environment working as process, integration or yield engineer.
  • Python programming languages.
  • UNIX/Linux operating systems is required.
  • Excellent verbal and written communication skills.
  • Self-motivated and results-oriented and strong problem-solving skills.
  • Some international travel is required.
  • Engineer with background and recent experience in yield management, technology integration, defect management, or failure diagnosis/failure analysis in semiconductor manufacturing including advanced nodes.
  • Understanding of the interaction of the IC design flow and the wafer manufacturing flow. 
  • Interest in software application development and machine learning methodologies to discern root causes of process observations and their connectedness to layout content.
  • Network in the semiconductor manufacturing and supplier space.

Organization: Digital Industries

Company: Siemens Electronic Design Automation (Korea) LLC

Experience Level: Experienced Professional

Job Type: Full-time

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