DFM Data Analytics Engineer at Samsung in Austin, TX
The Design For Manufacturing (DFM) team is part of Process Integration Technology Development (PI TD) department and is focused on incoming technology transfer, product optimization, new product introductions, yield improvement, process margin improvement and performance enhancement. As part of the Advanced Node Technology Development team, you will provide data solutions in a high volume production environment as well as optimization of newer products introduced exclusively at SAS.Role and Responsibilities Lead data architect with complete ownership of managing database for Design For Manufacturing (DFM) team. Integrate DFM database with high volume manufacturing (HVM) process data for correlation and data anlysis. Lead / participate in developing statistical and/or Machine Learning models to gain insights from structured and unstructured data. Write data automation flows and/or scripts. Develops methodology and automation scripts using bash-shell, python, tcl etc. Communicates technical information to senior leadership outside of the department through presentations. Completes other duties as assigned. Work days and hours:
1st Shift, M-F 8am to 5pm. Skills and Qualifications Bachelor's, Master's, or PhD degree in Engineering domain e.g. Mathematics, Computer Science. Other domains like Physics, Chemistry, Electrical Engineering, Chemical Engineering, and Materials Science are ok as long as candidate has experience with data architect and data analytics. 300mm 16nm/14nm/10nm nodes (or below) wafer manufacturing technology experience is preferred. Understands semiconductor device physics basics through coursework and/or work experience. Must be capable of shifting focus and changing priorities - dealing with ambiguity. Must demonstrate strong core values including:
Integrity, Respect, Teamwork, Quality, and Continuous Learning. Must have excellent communication, documentation and presentation skills. Must have interpersonal skills to escalate issues, get support, and effect lasting change. Must have proven skills of peer leadership, and mentoring of junior level engineers. Demonstrated ability to meet deadlines and commitments. Must be able to work on different shifts based on project need.
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine Learning, Database AdministrationEstimated Salary: $20 to $28 per hour based on qualifications.
1st Shift, M-F 8am to 5pm. Skills and Qualifications Bachelor's, Master's, or PhD degree in Engineering domain e.g. Mathematics, Computer Science. Other domains like Physics, Chemistry, Electrical Engineering, Chemical Engineering, and Materials Science are ok as long as candidate has experience with data architect and data analytics. 300mm 16nm/14nm/10nm nodes (or below) wafer manufacturing technology experience is preferred. Understands semiconductor device physics basics through coursework and/or work experience. Must be capable of shifting focus and changing priorities - dealing with ambiguity. Must demonstrate strong core values including:
Integrity, Respect, Teamwork, Quality, and Continuous Learning. Must have excellent communication, documentation and presentation skills. Must have interpersonal skills to escalate issues, get support, and effect lasting change. Must have proven skills of peer leadership, and mentoring of junior level engineers. Demonstrated ability to meet deadlines and commitments. Must be able to work on different shifts based on project need.
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine Learning, Database AdministrationEstimated Salary: $20 to $28 per hour based on qualifications.
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