This role pays less than
78%
of similar roles. Most pay
$169,550–$208,800
— the shaded band above.
At the midpoint, this role pays about
$162k
versus about
$189k
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
623 open roles
on FindRole.
Listed pay typically runs
$148,300–$222,500
across 603 roles with salary data.
#PE Software Engineer
The Location Technology Team is seeking a software engineer to design, develop, and optimize the core GNSS Positioning Engine for wireless platforms. You will build production-quality embedded software in C/C++ to transform GNSS measurements and sensor inputs into high-accuracy Position, Velocity, and Time solutions. Your daily work involves implementing algorithms such as Weighted Least Squares, Kalman Filtering, and multi-sensor fusion while managing real-time, multi-threaded architectures. The role requires proficiency in C, C++, Java, or Python, alongside experience with tools like MATLAB and TRACE32. You will also utilize AI-assisted engineering tools like Claude and Codex to improve code quality and debugging efficiency. This position addresses the technical challenge of providing reliable positioning in difficult environments like urban canyons by developing robust algorithms for satellite selection, outlier rejection, and signal processing across mobile, automotive, and IoT platforms.
What does a Software Engineer earn in California?
Median $214000 from 775 postings across 63 companies.
Develop and maintain production-quality GNSS Positioning Engine software using C/C++.
Implement and optimize positioning algorithms including Weighted Least Squares (WLS) and Kalman Filtering (KF/EKF).
Develop multi-sensor fusion algorithms integrating inertial sensors and other positioning technologies.
Create robust algorithms for satellite selection, outlier detection, fault detection, and integrity monitoring.
Optimize software for CPU utilization, memory footprint, latency, and power efficiency in real-time embedded systems.
Analyze GNSS logs and field-test data to diagnose and resolve complex system-level performance issues.
Integrate AI/ML-enhanced positioning solutions and advanced technologies like multi-frequency GNSS into products.
Utilize AI-assisted engineering tools and LLMs to improve coding, debugging, and data analysis efficiency.
What we're looking for
Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field with 2+ years of experience, OR a Master's degree with 1+ year of experience, OR a PhD.
At least 2 years of academic or work experience with programming languages such as C, C++, Java, or Python.
Strong understanding of GNSS positioning fundamentals, navigation algorithms, and PVT estimation (preferred).
Experience with Weighted Least Squares, Kalman Filters, estimation theory, statistical signal processing, or optimization techniques (preferred).
Experience implementing GNSS positioning and navigation algorithms in embedded or real-time software systems (preferred).
Experience using AI-assisted software development tools like Claude or Codex for coding and debugging (preferred).
Knowledge of GNSS measurements, multi-sensor fusion, and various satellite systems such as GPS, Galileo, and BeiDou (preferred).
Experience with RTOS, multi-threaded architectures, ARM-based debugging, and optimizing for power and memory (preferred).