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Qualcomm

PE Software Engineer

Qualcomm Santa Clara, California, United States of America, United States 28 days ago
Embedded & Systems Software

$134,500 - $201,700 USD yearly

Originally posted 18 September 2026 by the employer.

Develop and optimize real-time embedded GNSS positioning software for Qualcomm's Location Technology Team.

About the role

This role involves the design, development, implementation, testing, and optimization of Qualcomm's core GNSS Positioning Engine. The Positioning Engine transforms GNSS measurements and sensor inputs into high-accuracy Position, Velocity, and Time (PVT) solutions used across Qualcomm platforms.

What you'll do

  • Design, develop, review, and maintain production-quality GNSS Positioning Engine software in C/C++.
  • Implement and optimize GNSS positioning algorithms, including Weighted Least Squares (WLS), Kalman Filtering (KF/EKF), and Position/Velocity/Time (PVT) estimation.
  • Develop algorithms and software for processing GNSS measurements, including pseudorange, Doppler, carrier-phase, satellite ephemeris, clock, and atmospheric corrections.
  • Develop and optimize GNSS/INS and multi-sensor fusion algorithms using inertial sensors and other positioning technologies.
  • Contribute to advanced positioning technologies including multi-frequency GNSS, hybrid positioning, sensor-assisted navigation, and AI/ML-enhanced positioning solutions.
  • Optimize positioning software for CPU/MIPS utilization, memory footprint, latency, and power efficiency.

What you'll need

  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering experience OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering experience OR PhD in Engineering, Information Systems, Computer Science, or related field.
  • 2+ years of academic or work experience with Programming Language such as C, C++, Java, or Python.
  • Strong understanding of GNSS positioning fundamentals, navigation algorithms, and PVT estimation.
  • Experience with Weighted Least Squares (WLS), Kalman Filters (KF/EKF), estimation theory, statistical signal processing, or optimization techniques.
  • Experience implementing GNSS positioning and navigation algorithms in embedded or real-time software systems.
  • Understanding of GNSS measurements and error sources, including pseudorange, Doppler, carrier phase, satellite clock and orbit errors, ionosphere, troposphere, multipath, and receiver measurement errors.

Nice to have

  • Experience using AI-assisted software development tools (e.g., Claude, Codex, or similar technologies) for coding, debugging, performance analysis, test automation, and engineering productivity.
  • Experience with GNSS/INS integration and multi-sensor fusion.
  • Familiarity with GPS, Galileo, GLONASS, BeiDou, QZSS, and multi-frequency GNSS.
  • Experience with robust estimation, measurement weighting, outlier rejection, integrity monitoring, and fault detection techniques.
  • Knowledge of RTK, PPP, carrier-phase positioning, or other precise positioning technologies.
  • Understanding of navigation filter tuning, covariance modeling, uncertainty estimation, and performance characterization.
  • Experience analyzing GNSS logs, measurement data, simulation outputs, and large-scale field-test datasets.
  • Experience with real-time operating systems (RTOS), multi-threaded software architectures, and ARM-based development/debugging.
  • Experience with debugging and profiling tools such as TRACE32.
  • Experience using MATLAB, Python, or Perl for algorithm development, simulation, automation, and data analysis.
  • Experience optimizing embedded software for computational complexity, memory usage, latency, and power consumption.
  • Familiarity with Android location architecture, mobile positioning systems, or connected-device location technologies.
  • Experience applying AI/ML techniques to positioning, navigation, or sensor fusion problems.

Skills: real-time embedded GNSS positioning software, C/C++, Kalman Filtering, multi-sensor fusion, multi-threaded embedded architecture

Market context

This role has been open 26 days — well below the 56-day median for Embedded Firmware Engineering roles.

Embedded Firmware Engineering · Systems Software

Open roles in category
723
Median days open
56 d
Median salary
$166k
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
How Qualcomm compares in Embedded Firmware Engineering hiring
Metric Qualcomm All employers we track in this specialty (723 roles · 82 employers)
Open roles in this specialty 119 723
Open roles in the wider Software, Firmware & Systems family 715 6127 · 145 employers
Median days open 56 d 56 d (same as this employer)
Median salary (USD postings) — $166k

Skills observed across this category: real-time embedded GNSS positioning software, C/C++, Kalman Filtering, multi-sensor fusion, multi-threaded embedded architecture

Who's hiring in this category

  • Qualcomm (this employer) · 117 open roles · median 65 d
  • Micron Technology · 61 open roles · median 83 d
  • NVIDIA · 59 open roles · median 57 d
  • AMD · 58 open roles · median 35 d
  • Lattice Semiconductor · 43 open roles · median 36 d
  • NXP Semiconductors · 28 open roles · median 42 d

How we counted: 723 open Embedded Firmware Engineering (Systems Software) roles from 82 employers tracked in the SemiconductorJobs index, counted 15 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.

Apply now
Santa Clara, California, United States of America, United States
On-site
$134,500 - $201,700 USD yearly
28 days ago

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