This role offers hands-on exposure to advanced sensor technologies used in AR/VR experiences.
About the role
This role involves hands-on data collection, validation, and labeling of AR glass datasets for training and validating sensor-based and context-aware features. It focuses on enabling multi-device data collection across AR glasses, mobile, and wearable devices.
What you'll do
- Further develop, validate, maintain, and monitor the Qualcomm Sensors Team data collection platform with an initial emphasis on AR glasses.
- Support and manage global data collection campaigns, including hands-on participation in field data collection using mobile, wearable devices and AR glasses.
- Analyze, summarize, label, and generate metrics for datasets containing physical and virtual sensor streams, location data, and radio scans (Wi-Fi, WWAN, BLE).
- Create, validate, maintain, and document training, validation, and test datasets to support algorithm and feature development.
- Collaborate with global, cross-functional teams to support development and commercialization of sensor algorithms and features.
What you'll need
- Bachelor's degree in Electrical or Computer Engineering, Computer Science, or equivalent.
- Professional experience with embedded systems in system integration, system design, or software development roles involving physical sensors, wireless radios, and location technologies.
- Applied experience with digital signal processing, probability, and statistics for analysis of physical sensor, location, or radio data.
- Strong programming skills in Python 3, including professional experience using Pandas for data preprocessing, analysis, and summarization.
- Working knowledge of MATLAB for data analysis or algorithm development.
- Experience creating, validating, maintaining, and documenting training, validation, and test datasets, including partial or full automation of workflows.
Nice to have
- Master's degree in Electrical or Computer Engineering, Computer Science, or equivalent.
- Familiarity with MEMS-based inertial, environmental, or physiological sensors, and experience with sensor characterization equipment.
- Understanding of wireless radios and location technologies (Bluetooth, WLAN/Wi-Fi, GNSS, cellular); exposure to audio or camera sensors is a plus.
- Experience working with embedded or mobile platforms such as Linux Embedded, Android (Linux-based), Wear OS, Android XR, iOS, or Windows.
- Proficiency with Git / GitHub and collaborative development workflows.
- Strong fundamentals in SQL and relational databases.
- Ability to work productively across Linux and Windows environments, including scripting or automation in Linux.
- Experience with one or more public cloud platforms (AWS, Azure, GCP).
- Experience working with Microsoft Graph APIs and/or SharePoint APIs.
Skills: Sensors team, AR glasses, physical sensors, MEMS-based inertial, digital signal processing
This role has been open 64 days — well below the 140-day median for MEMS/Sensor Design roles.
MEMS/Sensor Design · Mems Sensors
|
Open roles in category
36
|
Median days open
140 d
|
Median salary
$178k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Qualcomm | Market (36 open roles · 12 companies) |
|---|---|---|
| Open roles in category | 4 | 36 |
| Median days open | 71 d | 140 d (−69 d vs this employer) |
| Median salary (USD postings) | — | $178k |
Skills observed across this category: Sensors team, AR glasses, physical sensors, MEMS-based inertial, digital signal processing
Who's hiring in this category
- SiTime · 9 open roles · median 168 d
- STMicroelectronics · 6 open roles · median 150 d
- Analog Devices · 5 open roles · median 64 d
- Qualcomm (this employer) · 5 open roles · median 71 d
- Infineon Technologies · 4 open roles · median 17 d
- AIXTRON · 1 open role · median 164 d
Based on 36 open roles at 12 companies in our index. Snapshot 9 Sept 2026.