Engineer I (Multiple Openings)

Samsung Electronics • Austin, TX

14h • Onsite

About The Position

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.

Requirements

• 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
• R proficiency in data processing, data analysis, and web development.

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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level