Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in.
Do you want an opportunity to see what happens when you combine your neurons love for electrons with a neural network? Qualcomm Technologies engineering team in Taiwan is looking for a creative Electrical Engineer to work on next generation products and technologies. This position is under Taiwan COMET (Center for Operations, Manufacturing Engineering, and Testing), which is Qualcomm's first in Asia Pacific region and is rapidly expanding.
The ideal candidate will have opportunities in the following areas:
All Qualcomm employees are expected to actively support diversity on their teams, and in the Company.
Minimum Qualifications:
Strong communication and interpersonal skills. The ability to work well with others on a strong technical team.
A drive to learn new technologies and techniques
0-5 years combined experience from the areas listed below:
- Software programming in C, C++, C#, Java, and/or Python
- Electrical circuit design
- Knowledge of advanced statistical techniques and concepts such as regression, distribution, correlation, outlier detection, etc.
Preferred Qualifications:
- Applied Machine Learning fundamentals such as decision trees, neural networks, statistical modeling, and/or clustering
- Work or classroom experience in deep neural networks (CNN, RNN/LSTM) and framework's TensorFlow, pytorch, and/or Keras
- Technical strength outside of machine learning such as IC design, fab process, semiconductor test, material science, and embedded C
- Familiarity with data analysis and visualization tools: JMP, DataPower, Tableau
Education Requirements:
Required: Bachelor's, Electrical Engineering
Preferred: Master's, Computer Engineering or Computer Science or Electrical Engineering or Data Science
Keywords:
Machine Learning, Data Science, 5G, Deep Learning, AI
Applicants: If you need an accommodation, during the application/hiring process, you may request an accommodation by sending email toaccommodationsupport
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