Staff Machine Learning Engineer, Model Optimization
Qualcomm
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How this pay compares to similar roles
This role pays more than 90% of similar roles. Most pay $174,600–$215,850 — the shaded band above. At the midpoint, this role pays about $251k versus about $195k for comparable roles.
Based on 240 similar postings.
Employer
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.
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At a glance
As a Principal Engineer on the Computer Vision Systems team, you will develop advanced computer vision algorithms for mobile phones, autonomous vehicles, IoT, robotics, and AR/VR platforms. You will take end-to-end ownership of the lifecycle by researching trends, designing models, building training pipelines, and optimizing neural network methodologies for real-time, on-device performance. Your work involves solving complex problems in optical flow, depth estimation, visual tracking, multi-view geometry, visual odometry, SLAM, and 3D scene reconstruction. You will utilize tools and languages including Python, C++, R, TensorFlow, PyTorch, Keras, and Caffe/Caffe2. Additionally, you will leverage expertise in quantization, pruning, and heterogeneous compute across CPU, GPU, DSP, and NPU architectures to ensure efficient execution on Snapdragon platforms while influencing silicon design and system-level architecture through technical leadership and cross-functional collaboration.
What does a Engineer earn in California?
Median $208000 from 94 postings across 22 companies.
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