below marketmost similar roles pay hereabove market
This role pays more than
72%
of similar roles. Most pay
$131,250–$209,800
— the blue band above.
At the midpoint, this role pays about
$200k
versus about
$171k
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
575 open roles
on FindRole.
Listed pay typically runs
$147,900–$221,900
across 550 roles with salary data.
The Systems Engineer - Staff joins the Location Systems Team to work on the architecture, design, implementation, and validation of algorithms for location and navigation technology. This role focuses on the physical layer and Measurement Engine of GNSS receivers. Key responsibilities include designing signal processing algorithms for acquiring, tracking, and measuring GNSS signals, as well as modeling, simulating, and verifying sub-systems for pre-product and final designs. The engineer provides system support for debug and performance optimization while resolving technical issues with cross-functional teams. Required skills include experience with GNSS systems, tracking loops, demodulation, and decoding algorithms. Candidates should be proficient in C/C++, Python, Matlab, and fixed-point modeling for hardware verification. Additionally, the role involves leveraging AI tools and machine learning for system design workflows.
What does a Systems Engineer earn in California?
Median $191000 from 99 postings across 21 companies.
Design signal processing algorithms for acquiring, tracking, and measuring GNSS signals.
Model, simulate, and verify GNSS Measurement Engine sub-systems for pre-product and final product designs.
Verify GNSS receiver prototypes and products in support of hardware, firmware, software, and RF teams.
Provide system support for debugging and performance optimization.
Resolve technical issues with cross-functional teams and escalate problems in a timely manner.
Apply advanced problem solving for complex RF, hardware, and firmware implementation in GNSS receiver subsystems.
Leverage AI tools to optimize the system design workflow.
What we're looking for
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
Knowledge of GNSS systems and receiver design (preferred).
Familiarity with tracking loop, demodulation, and decoding algorithms (preferred).
Familiarity with digital hardware / RTL design concepts (preferred).
Experience with fixed-point modeling for hardware verification (preferred).
Experience with C/C++, Python, Matlab, and/or other simulation and modeling tools/languages (preferred).
Experience with machine learning algorithm design and implementation (preferred).
Experience using AI tools in the system design workflow (preferred).
GNSS
MATLAB
C++
SystemC
RTL
Digital Signal Processing
Wireless Communications
VLSI
Hardware Architecture
Spread Spectrum
System Modeling
Firmware
Mixed Signal Analog Design
RF
Signal Processing
GNSS
MATLAB
C++
SystemC
RTL
Digital Signal Processing
VLSI
Wireless Communications
Spread Spectrum
Hardware Architecture
System Modeling
Firmware
Mixed Signal Analog Design
RF
Systems Engineering
Robotics
UAV
Control Theory
Software Development
Electronics Troubleshooting
Aerodynamics
Avionics
Flight Systems
Prototyping
Data Analysis