Samsung Electronics America, Inc. (SEA) is looking for an Engineer I to join our team. In this role, you will focus on yield analysis and improvement in our semiconductor manufacturing process. You will use your skills in data science and engineering to drive preventive measures and enhance production efficiency, innovating today to power the devices of tomorrow.
What You'll Do
- Detect systematic and random yield loss and drive the fab engineering team to implement preventive measures.
- Use statistical analysis, semiconductor process and device physics knowledge, coding, and machine learning.
- Evaluate product characteristics from circuit design to semiconductor process to identify the root cause of detected yield losses.
- Utilize statistical analysis tools to find fab commonality and deep dive into electrical test data to segregate good and affected material.
- Evaluate process changes, check for statistical significance in wafer sort testing, and provide clear direction to the Fab on effectiveness and risk.
- Derive models for defects, share results with responsible departments, and manage improvement items.
- Code significant change items into the baseline production yield model to establish yield targets and deliver clear forecasts.
What We're Looking For
- A Master’s degree in Computer Science, Data Science, Computer Engineering, or a related field.
- Completion of graduate-level work involving Python proficiency in algorithms and data analysis with Numpy, Pandas, Scikit-learn, Matplotlib, Plotly.
- Completion of graduate-level work involving Big Data management proficiency with PostgreSQL, Spark, and Hadoop.
- Completion of graduate-level work involving Statistics, including parametric inference, non-parametric inference, hypothesis testing, Bayesian inference, stochastic processes, bootstrap, and correlation coefficient.
- Completion of graduate-level work involving Deep Learning algorithms in Image Processing and NLP fields with modern frameworks like PyTorch and Tensorflow.
- Completion of graduate-level work involving Classical machine learning algorithms (bagging, boosting) and regression models.
- Completion of graduate-level work involving Data visualization skills to generate 2D and 3D plots with Matplotlib and Plotly.
- Completion of graduate-level work involving Design of Experiment (DOE) Establishment and Verification.
- Completion of graduate-level work involving Key Item Management.
- Completion of graduate-level work involving R proficiency in data processing, data analysis, and web development.
Technical Stack
- Python, Numpy, Pandas, Scikit-learn, Matplotlib, Plotly
- PostgreSQL, Spark, Hadoop
- PyTorch, Tensorflow
- R
Benefits & Compensation
- Salary range: $107,515 to $127,515
- 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
- Eligible full-time employees may also receive MBO bonuses based on company, division, and individual performance.
Work Mode
This role requires working onsite.
Samsung Electronics America is an equal opportunity employer.
