About Samsung Austin Semiconductor
Samsung is a world leader in advanced semiconductor technology, founded on the belief that the pursuit of excellence creates a better world. At SAS, we are Innovating Today to Power the Devices of Tomorrow.
Come innovate with us!
Position Summary
As an Engineer I, see roles and responsibilities below.
Role And Responsibilities
Detect systematic, random yield loss, and drive fab engineering team to implement preventive measures. Use statistical analysis, semiconductor process, device physics knowledge, coding, and machine learning. Evaluate the product characteristics from the perspectives of circuit design to semiconductor process and device physics to identify the root cause of detected yield losses. Utilize the statistical analysis tools to find fab commonality, deep dive into electrical test data and tool parameters to segregate good and affected material at suspected timeframe. Evaluate process changes and check for statistical significance to wafer sort testing to provide clear direction to Fab for effectiveness and risk of change points. Derive a model for defects, share the results with the responsible department, and carry out the management of improvement items. Code significant change items and other relevant factors into the baseline production yield model to establish appropriate yield targets and deliver clear yield forecasts to fabrication teams.
Skills And Qualifications
Master’s degree in Computer Science, Data Science, Computer Engineering, or a related field and completion of a graduate-level course, research project, or internship involving the following
Python proficiency in algorithms and data analysis with Numpy, Pandas, Scikit-learn, Matplotlib, Plotly; Bigdata management proficiency with PostgreSQL, Spark and Hadoop; Statistics, including parametric inference, non-parametric inference, hypothesis testing, Bayesian inference, stochastic processes, bootstrap, and correlation coefficient for advanced
data analysis, data modeling and robust model evaluation; Deep Learning algorithms in Image Processing and NLP fields with modern frameworks like PyTorch and Tensorflow; Classical machine learning algorithms (bagging, boosting) and regression models; Data visualization skills to generate 2D and 3D plots with Matplotlib and Plotly; Design of Experiment (DOE) Establishment and Verification; Key Item Management; and R proficiency in data processing, data analysis, and web development.
The current base salary range for this role is between $107,515 to $127,515. Individual base pay rates will depend on factors including duties, work location, education, skills, qualifications and experience. Total compensation for this position will include a competitive benefits package and may include participation in company incentive compensation programs, which are based on factors to include organizational and individual performance.
Total Rewards
At Samsung SAS, base pay is just one part of our total compensation package. The base compensation for this role will depend on education, experience, skills, and location.
We offer a comprehensive benefits package, including:
- Medical, dental, and vision insurance
- Life insurance and 401(k) matching with immediate vesting
- Onsite café(s) and workout facilities
- Paid maternity and paternity leave
- Paid time off (PTO) + 2 personal holidays and 10 regular holidays
- Wellness incentives and MORE
Eligible full-time employees (salaried or hourly) may also receive MBO bonuses based on company, division, and individual performance.
All positions at SAS are full-time on-site.
U.S. Export Control Compliance
This role requires access to information subject to U.S. export control laws. Applicants must be authorized to access such information or eligible for government authorization.
Trade Secrets Notice
By submitting an application, you agree not to disclose to Samsung—or encourage Samsung to use—any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity.
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