During this internship you will have the opportunity to work with data from state-of-the-art IC products in Wifi, Bluetooth, NFC and secure mobile payment spaces
You will interact with product engineers and experts from other disciplines including design, test and manufacturing, while shadowing your mentor to accomplish goals
Engage in advanced analytics on voluminous data coming from automated test facilities – solving ‘needle in the haystack’ problems, classification problems and problems which may require machine-learning solutions
Analyze tough problems and create non-existent solutions
Training, guidance and coaching will be part of the program
You will have access to cloud compute CPU/GPU resources
Attributes:
Worked on projects using ML libraries and APIs – scikit-learn / Tensorflow / Keras
Demonstrated accomplishments in building models – ML and DNN-based models will be significantly advantageous
Experience with statistical analysis software such as R/JMP/Minitab
Knowledge in statistical analysis and modelling of data
Knowledge of semiconductor design and wafer fabrication process is a plus
Studying to a Bachelors/Masters/PhD in Engineering/Computer Science/Data Science/Math or similar
