ATE /ML Hardware Engineer

Qualcomm San Diego , CA 92140

Posted 3 months ago


Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Hardware Engineering

General Summary:

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 San Diego is looking for a creative Electrical Engineer to work on next generation products and technologies. 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:

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering or related work experience.


Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering or related work experience.


PhD in Computer Science, Engineering, Information Systems, or related field.

Minimum Qualifications:

  • Strong communication and interpersonal skills. The ability to work well with others on a strong technical team.

  • 2-years combined experience from the areas listed below:

  • Software programming in C, C++, C#, Java, and/or Python

  • Applied Machine Learning fundamentals such as decision trees, neural networks, statistical modeling, and/or clustering

  • 1 year experience on - Electrical circuit design

Preferred Qualifications:

Work or classroom experience in RF, mmWave, and/or analog/digital circuit design

Work or classroom experience in deep neural networks (CNN, RNN/LSTM) and framework's TensorFlow, pytorch, and/or Keras

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, RF, Circuit Design

Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm's toll-free number found here for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.

Qualcomm is an equal opportunity employer and supports workforce diversity.

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.

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

If you would like more information about this role, please contact Qualcomm Careers.

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ATE /ML Hardware Engineer