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Electrical Engineer - Machine Learning

Qualcomm Inc.
新竹市, 300
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Qualcomm Semiconductor Limited

Job Area:

Engineering Group, Engineering Group > Hardware Engineering

Job Overview:

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:

  • Apply machine learning techniques on LTE5G chipsets (RF, PMIC, Modem, Application Processors, Graphics Processors, AI Processors).
  • Design automated system validation solutions using a combination of custom software & hardware along with commercial test equipment.

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


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

To all Staffing and Recruiting Agencies:Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

Our Work Experience is the combination of everything that's unique about us: our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it's our people. Our employees are self-disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the #1 Top Workplace in the area.

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Jobs Rated Reports for Electrical Engineer

Posted: 2021-02-23 Expires: 2021-03-26
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Electrical Engineer - Machine Learning

Qualcomm Inc.
新竹市, 300

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Median Salary: $99,070

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