This role pays less than
61%
of similar roles. Most pay
$140,650–$203,374
— the shaded band above.
At the midpoint, this role pays about
$160k
versus about
$172k
for comparable roles.
Based on 240 similar postings.
Employer
About Qualcomm
Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.
Qualcomm currently has
639 open roles
on FindRole.
Listed pay typically runs
$146,400–$221,900
across 619 roles with salary data.
As a Modem Systems Engineer within the Modem Technologies group, you will contribute to the development of next-generation mobile communication technologies including 6G, IoT, satellite-based networking, and vehicular communications. You will engage in high-level architecture studies, modem algorithm design and development, and the application of machine learning to WWAN radio design, power efficient design, verification, and commercialization. The role requires a strong foundation in applied mathematics, statistics, signal processing, information theory, and channel coding. Candidates should be proficient in programming using C/C++, Python, or Matlab, along with experience in machine learning tools such as TensorFlow, PyTorch, or Keras. You will solve complex technical problems involving neural network architectures and numerical analysis to shape the future of wireless modems and advanced communication systems across various emerging technology sectors.
Conduct high-level architecture studies for next-generation wireless technologies including 6G and V2X.
Design and develop modem algorithms to improve mobile communication performance.
Apply machine learning models to WWAN radio design and signal processing.
Develop power-efficient designs for wireless modems and devices.
Perform verification and commercialization of new wireless technologies.
Write and execute code using C/C++, Python, or Matlab to solve engineering problems.
Build and implement neural network architectures using tools like TensorFlow, PyTorch, or Keras.
What we're looking for
Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field.
Master's degree in EE, ECE, CS, Applied Mathematics, Physics, or other fields involving probability, machine learning, statistics, and linear algebra.
Academic project experience or up to 5 years of industry experience in areas like communication theory, signal processing, or machine learning (preferred).
Ability to program effectively in C/C++, Python, and/or Matlab using modern coding assistance tools (preferred).
Experience with key machine learning tools/libraries such as TensorFlow, PyTorch, or Keras and neural network architectures (preferred).
Up to 4 years of Systems Engineering or related work experience (preferred).
Up to 2 years of experience working in a large matrixed organization (preferred).
Strong analytical and problem-solving skills with intellectual curiosity (preferred).
Machine Learning
C++
Python
Matlab
TensorFlow
PyTorch
Keras
Signal Processing
Communication Theory
Neural Networks
Convex Optimization
Numerical Analysis
Information Theory
Channel Coding
Systems Engineering
Embedded C
C++
Power Management
Modem Software
RF) systems
Wireless Communication
AI Tools
Scripting
Automation Frameworks
System Analysis
Debugging
Low-power Design
6G
5G