You will get 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 likely experts from other disciplines including design, test and manufacturing, while shadowing your mentor to accomplish industrialization goals
Engage in advanced analytics on voluminous data coming from automated test facilities \xe2\x80\x93 solving \xe2\x80\x98needle in the haystack\xe2\x80\x99 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
Qualification:
Experience in coding using C++/Java/R/Python \xe2\x80\x93 Python is a plus
Worked on projects using ML libraries and APIs \xe2\x80\x93 scikit-learn / Tensorflow / Keras
Demonstrated accomplishments in building models \xe2\x80\x93 ML and DNN-based models will be significantly advantageous
Experience with statistical analysis software such as R/JMP/Minitab/Exensio
Knowledge in statistical analysis and modelling of data
Knowledge of semiconductor design and process is a plus
Studying to a Bachelors/Masters/PhD in Engineering/Computer Science/Data Science/Math or similar