Position Summary

Samsung Austin Semiconductor is one of the most advanced semiconductor manufacturing facilities in the world with more than 3,000 employees and 2.45 million square feet of floor space. Samsung Austin Semiconductor has broad semiconductor process technology offerings serving customers in various application areas including mobile, consumer, networking/high performance computing, Internet of Things, RF and automotive.
Since 1996, its parent company, Samsung Electronics Co., Ltd has invested approximately $17 billion in Samsung Austin Semiconductors Austin, Texas campus, making it one of the largest direct foreign investments in United States history. Samsung Austin Semiconductor is a premier employer who provides a great place to work, as well as advanced and upskilled training to thriving employees. Visit www.samsung.com/us/sas
Samsung Austin Semiconductor strives to be the World's Best Foundry.

Samsung Austin Semiconductor Yield Engineering Department is looking for a motivated member for its Yield Analysis team.

This team is tasked with large data set analysis for identifying sources of yield suppression or opportunities for yield improvement. Candidate should have strong data analysis skills, experience with Process Integration, project management skills, and enjoy resolving yield analysis mysteries via in depth investigation and multi-factor analysis. Candidate will have the opportunity to work with leading technology nodes in a fast paced high production volume environment. Evaluations from the teams analysis shape the direction taken by the company and contribute to the success or failure of the products.

Candidates should have strong investigation skills, experience with root cause analysis, be comfortable with statistics and process control, and an interest in process integration.
In addition, experience with large data sets, SQL data bases, and coding experience is preferred.
Experience with JMP is strongly preferred, in use for multi-variate response analysis.
The position includes requirement to present findings to both mid and high level management, and to work with process teams and integration teams to help drive understanding of yield issues and solutions.

Role and Responsibilities

Identify causes of systematic and random yield loss, drive to root cause, and implement countermeasures using data analysis methods and process knowledge.
Analyze bulk data sets, to find causes for yield trends and yield value changes.
Work with database and SQL servers to improve and refine data sets for analysis.
Track the impact of process improvements and incidents and predict the impact to yield.
Evaluate process changes using statistical analysis methods for effectiveness and risk.
Improve systems, documentation and procedures.
Drive projects and cross-functional teams for yield improvement or methodology improvement.
Work days and Hours: 1st-Shift, Mon - Fri, 8am - 5pm.

Skills and Qualifications

BS Degree in Engineering (EE, ChE, MatSci, MicroE,) or Science (Physics)
3+ years experience in yield analysis or process integration. Semiconductor process engineering experience or similar may also be considered.
Must have experience using data mining techniques and history investigation to determine the cause of low yield from single point fliers and excursions.
Expert in SPC, DOE, Statistical Analysis.
Familiar with Project Management techniques.
Expert in Excel, PowerPoint, and various statistics programs (i.e. JMP, Spotfire).
Strong written and verbal presentation and communication skills.
Programming and/or scripting experience is a plus (Python, R, JMP, VB, Java ).

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