This role pays more than
67%
of similar roles. Most pay
$174,300–$231,000
— the shaded band above.
At the midpoint, this role pays about
$215k
versus about
$203k
for comparable roles.
Based on 240 similar postings.
Employer
About Motorola Solutions
Motorola Solutions, Inc. (NYSE: MSI) is a leading American technology company providing mission-critical communications, video security, and analytics for public safety and enterprise customers.
Motorola Solutions currently has
135 open roles
on FindRole.
Listed pay typically runs
$106,500–$140,000
across 117 roles with salary data.
The Principal Research & Development (R&D) Engineer joins the R&D team to oversee and participate in the planning, design, implementation, prototyping, and verification of wireless technology projects. This role involves technical management of programs including system design, requirement specification, and tracking development schedules while performing hands-on simulation, software, FPGA, and testing work. The position also includes supervising a team of engineers, preparing whitepapers and proposals, and engaging with government and industry partners. Candidates should possess expertise in C/C++, MATLAB, Python, radio frequency propagation, channel modeling, digital communication, and signal processing algorithms such as MIMO and OFDM. The role addresses the development of advanced MANET and MIMO communications systems to provide secure, reliable mesh networking for mission-critical applications in defense, law enforcement, and public safety environments where high-bandwidth data is required.
MATLAB
MIMO
OFDM
FPGA
Signal Processing
Wireless Communication Protocols
RF Propagation
Channel Modeling
Fixed Point Design
MANET
Cognitive Radio
Digital Communication
Technical Writing
FPGA
RTL Design
Xilinx
Vivado
Digital Signal Processing
Python
Perl
MATLAB
Logic Analyzers
Timing Closure
Simulation
test bench development
Wireless Communication Systems
Python
PyTorch
JAX
C
C++
C#
Foundation Models
GPU Clusters
Fine-tuning
Instruction Tuning
reinforcement-learning
Mixed Precision
Model Evaluation
Tokenization
Machine Learning Systems
Experiment Tracking
Computer Vision
Deep Learning
Python
C++
PyTorch
TensorFlow
Keras
Caffe
Linux
Android
QNX
Quantization
Pruning
Distillation
CPU
GPU
DSP
NPU
Containerization