Location Technology Systems Engineer

Qualcomm

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$129,200–$193,800 / yr
Posted
107 days ago
Closes
Aug 18, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $168k
This role $162k
$120k most similar roles pay here $214k

This role pays less than 58% of similar roles. Most pay $133,225–$203,250 — the shaded band above. At the midpoint, this role pays about $162k versus about $168k for comparable roles.

Based on 239 similar postings.

Employer

About Qualcomm

Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.

Qualcomm currently has 270 open roles on FindRole.

Listed pay typically runs $154,000–$231,000 across 196 roles with salary data.

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At a glance

TL;DR · Location Technology Systems Engineer

This advanced development position within Qualcomm Technologies' Location Technology Systems Engineering team requires a senior engineer to design, develop, and commercialize next-generation location solutions for high-volume products. The role involves system-level ownership of location technologies, including algorithm development, performance analysis, optimization, and cross-functional collaboration with various teams to ensure robust and scalable implementation in production environments. Key responsibilities include designing multi-sensor and multi-technology fusion algorithms, analyzing error sources, and supporting validation using real-world data across diverse conditions. The ideal candidate has a strong background in location systems or navigation, proficiency in Python for algorithm development, and expertise in estimation theory and probabilistic state estimation techniques such as Kalman filtering. Experience with GNSS positioning, terrestrial technologies like cellular-based positioning, vision-based localization, multi-sensor fusion, and machine learning is preferred.

What you'll do

  • Design and develop location system algorithms and architectures for multiple positioning technologies.
  • Perform system-level modeling to predict performance tradeoffs across accuracy, robustness, latency, power, and scalability.
  • Optimize multi-sensor and multi-technology fusion algorithms combining GNSS, inertial sensors, terrestrial signals, and vision-based inputs.
  • Analyze and mitigate location error sources including signal propagation effects, multipath interference, and sensor noise.
  • Support bring-up, validation, and performance analysis of location technologies using real-world data in diverse environments.

What we're looking for

  • Strong background in location systems, navigation, or related fields.
  • Proficient in estimation theory and probabilistic state estimation techniques.
  • Expertise in Python for algorithm development and performance evaluation.
  • Experience with multi-sensor fusion and system-level algorithm development.
  • Knowledge of GNSS positioning and terrestrial positioning technologies.
  • Familiarity with vision-based positioning concepts and machine learning techniques.

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