This role pays more than
53%
of similar roles. Most pay
$165,000–$214,500
— the shaded band above.
At the midpoint, this role pays about
$201k
versus about
$190k
for comparable roles.
Based on 240 similar postings.
Employer
About Qualcomm
Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.
Qualcomm currently has
557 open roles
on FindRole.
Listed pay typically runs
$154,000–$231,000
across 400 roles with salary data.
As a Principal Machine Learning Engineer at Qualcomm Technologies, you will join the cutting-edge AI team to design and implement state-of-the-art machine learning solutions for mobile, edge, auto, and IoT products. Your day-to-day responsibilities include leading the development of real-time video analytics systems, integrating advanced computer vision algorithms, and optimizing video processing pipelines using FFmpeg and GStreamer. You will work with modern ML frameworks like PyTorch and ONNX Runtime to create efficient inference pipelines for embedded platforms, ensuring robust performance under constraints such as latency and thermal limits. Additionally, you will mentor engineers, drive architectural decisions, and communicate technical strategies to senior leadership, contributing to the company’s vision of transforming research into reliable customer-facing features in a large cross-functional environment.