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General Summary:

Location Technology System Test Engineer

Tests and validates location technology systems spanning software and hardware components, including GNSS positioning, WWAN‑based location (LTE/NR), WLAN‑based positioning (Wi‑Fi), sensor‑based positioning, and geofencing solutions. Interprets wireless, sensor, and positioning specifications to design and execute system‑level test plans, scenarios, scripts, and procedures. Performs system integration, functional, and regression testing across lab and field environments.

Validates multi‑sensor location solutions that combine GNSS, cellular, Wi‑Fi, and device sensors (e.g., inertial and motion sensors) for improved continuity, accuracy, and robustness. Documents system‑level defects using standardized bug tracking tools and collaborates closely with software, systems, and algorithm teams to drive issue resolution.

Leverages agentic AI‑assisted workflows to improve test execution efficiency, automate log post‑processing, and accelerate result analysis for complex location systems. Develops and executes test programs to evaluate new location features and system modifications, ensuring accuracy, stability, and performance across GNSS, WWAN, WLAN, and sensor‑assisted positioning methods.

Additional Job Description

Principal Duties and Responsibilities

• Executes system‑level testing for location technologies including:
  • GNSS and assisted GNSS
  • WWAN‑based positioning
  • WLAN‑based positioning
  • Sensor‑based positioning, including inertial and motion‑assisted location
  • Multi‑technology sensor‑fusion–based location solutions
• Builds foundational understanding of end‑to‑end location systems, including interactions among GNSS, modem (WWAN), WLAN, sensors, middleware, and application layers.
• Designs and executes test plans validating functional behavior, continuity, and stability of sensor‑assisted and fused location outputs.
• Collects and analyzes logs, traces, sensor data, positioning outputs, and requirements to identify system‑level issues impacting:
  • Location accuracy
  • Availability and continuity
  • Transition behavior between GNSS, WWAN, WLAN, and sensors
• Performs log and trace analysis across GNSS, WWAN, WLAN, and sensor subsystems to isolate root causes of positioning failures or drift.
• Gathers and correlates information from multiple sources (sensor data, wireless logs, system traces) to troubleshoot integrated location stack issues.
• Uses agentic AI tools to assist with:
  • Automated or semi‑automated execution of location system tests
  • Post‑processing of large sensor and wireless log datasets
  • Pattern detection, trend analysis, anomaly identification, and result summarization
• Assists in validating that fixes or tuning changes correctly address sensor‑based or fused‑location issues without introducing regressions.
• Identifies and documents defects related to sensor behavior, fusion stability, or interaction with GNSS/WWAN/WLAN positioning.
• Executes basic field and lab tests involving walking, driving, indoor, and transition scenarios where sensor‑assisted positioning is exercised.
• Communicates location system issues and results clearly to software, systems, and algorithm teams.
• Manages individual test tasks, priorities, and deliverables with close supervision.
• Coordinates with technical leads to confirm adequate coverage and execution time for sensor‑assisted and hybrid location validation.
• Develops and maintains functional and system tests ensuring correct behavior of sensor‑based and multi‑technology location features.

Level of Responsibility

• Works under close supervision while independently completing assigned location system test tasks.
• Responsible for own work with limited impact; errors typically result in schedule or re‑test implications.
• Uses verbal and written communication to convey routine, factual information related to location testing and results.
• Completes multi‑step testing tasks requiring basic planning and prioritization.
• Exercises limited creativity to troubleshoot system‑level location issues, including those involving sensor integration.
• Applies deductive problem‑solving techniques using defined diagnostic processes and limited data analysis.
• Uses agentic AI as a productivity and analysis aid, not as a substitute for engineering judgment.

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

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Pay range and Other Compensation & Benefits :

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link .

If you would like more information about this role, please contact Qualcomm Careers .