Modem Systems Engineer

Qualcomm
Santa Clara, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$127,900.0 - $191,900.0
Working hours
Regular working hours
Job source

Tech stack

Systems Engineering Artificial Neural Networks C++ (Programming Language) Computer Engineering Information Theory Python (Programming Language) MATLAB Machine Learning Tensorflow Signal Processing Pytorch Keras
+1 more
Information Technology

Job description

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail or call Qualcomm’s toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Requirements

Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, or related field.

This position is not limited to candidates with EE/ECE majors as long as they have a flair for problem solving, applied mathematics & statistical skills , suitable programming and coding background and are motivated to learn on the job., * Master’s degree in EE, ECE, CS , Applied Mathematics, Physics or other areas incorporating strong probability, machine learning, statistics and linear algebra components., Academic project experience or up to 5 year industry experience in at least one or more of the following areas:

  • Communication theory, Applied mathematics & Statistics, Machine Learning, Convex Optimizations, Numerical Analysis, Signal Processing, Information Theory, Channel Coding, Statistical Learning Ability to program effectively in C/C++, Python and/or Matlab and the use of modern coding assistance tools

  • Experience with key machine learning tools/libraries (TensorFLow, PyTorch, Keras etc), neural networks architectures and building models

up to 4 year’s Systems Engineering or related work experience. up to 2 years’ experience working in a large matrixed organization. Strong analytical and problem-solving skills.

  • Passion for learning and intellectual curiosity.

Benefits & conditions

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits: $127,900.00 - $191,900.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link.

About the company

Over the last few decades the Modem Systems group at Qualcomm has been instrumental in driving the mobile communication revolution which has touched every aspect of our modern life. From the early days of CDMA to 4G LTE/LTE-Advanced, 5G NR, and now 6G,, the Qualcomm Modem Systems group has been a key player in moving these technologies from concept to lab to actual mass-scale real-life deployments. You have an opportunity to join the team which drove the smartphone revolution and is now best positioned to expand into new areas such as 6G, IoT, large scale satellite based networking, agentic wireless modems and devices, vehicular communications (V2X), extended reality, virtual reality, etc.

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