Sensors Systems Engineer
$142,200 - $213,200 USD yearly
Originally posted 30 June 2026 by the employer.
About the role
Qualcomm is seeking a Sensors Systems Engineer to develop algorithms across the product life cycle from early R&D to commercial deployment. The role focuses on AI and signal processing sensor solutions embedded in smartphones, automotive, IoT, smartwatches, and consumer electronics devices.
What you'll do
- Develop algorithms for single and multi-sensor fusion using DSP and ML/AI techniques in MATLAB and Python. - Balance performance, power consumption, and computational complexity across target architectures. - Create reports on algorithm evaluation, validation, and benchmarking, delivering design and user documentation. - Code solutions in C/C++ for software implementation on Qualcomm platforms. - Work with global development and test teams across systems, software, and integration disciplines.
What you'll need
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience; or a Master's degree and 1+ year of experience; or a PhD. - Hands-on experience with algorithm implementation and debugging. - Experience programming in high-level languages such as MATLAB, Python, and C/C++.
Nice to have
- Bachelor's, Master's, or PhD in Electrical or Computer Engineering or related area. - Experience with concepts in digital signal processing, adaptive filter, Kalman filter, linear algebra, probability, and statistics. - Knowledge of machine learning concepts including supervised and unsupervised learning, feature extraction, classification, and regression. - Experience in DSP- and ML-based sensor fusion using accelerometer, gyroscope, and magnetometer data. - Publications in the field of signal processing or AI.
Skills: sensor fusion, DSP, ML/AI techniques, algorithm evaluation, embedded software, Kalman filter
This role has been open 112 days — well above the 85-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
508
|
Median days open
85 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Qualcomm | All employers we track in this specialty (508 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 104 | 508 |
| Open roles in the wider Software, Firmware & Systems family | 728 | 6296 · 145 employers |
| Median days open | 112 d | 85 d (+27 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: sensor fusion, DSP, ML/AI techniques, algorithm evaluation, embedded software, Kalman filter
Who's hiring in this category
- Qualcomm (this employer) · 104 open roles · median 113 d
- NVIDIA · 91 open roles · median 57 d
- AMD · 38 open roles · median 95 d
- Micron Technology · 27 open roles · median 57 d
- Analog Devices · 18 open roles · median 40 d
- Mobileye · 18 open roles · median 85 d
How we counted: 508 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 22 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.