This role pays more than
86%
of similar roles. Most pay
$171,387–$246,150
— the shaded band above.
At the midpoint, this role pays about
$259k
versus about
$209k
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
623 open roles
on FindRole.
Listed pay typically runs
$148,300–$222,500
across 603 roles with salary data.
Efficient AI Systems, Principal Engineer (On-Device/Edge) serves as a technical leader within the Machine Learning Engineering group to oversee a team of engineers in developing state-of-the-art models for automotive applications. The role focuses on designing and implementing Visual Language Action Models (VLAs), Vision Transformers, and Large Language Models (LLMs) for low-level perception, infotainment, and end-to-end autonomous driving on the Qualcomm Ride platform. Key responsibilities include optimizing deep networks for accuracy, latency, and power consumption on Snapdragon Ride AI accelerators while managing technical roadmaps and cross-functional collaborations. The position requires expertise in multi-modal fusion, BEV space lifting, network quantization, and kernel or compiler optimization. Candidates must possess strong skills in machine learning algorithms specifically tailored for vision and lidar processing to solve complex challenges in resource-constrained environments for L2/L3 ADAS systems.
What does a Engineer earn in California?
Median $208000 from 94 postings across 22 companies.
Remote (Palo Alto, CA)+17 days ago
$242,634–$499,541
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