Staff Machine Learning Software Engineer
Qualcomm
Quick summary
Market check
How this pay compares to similar roles
This role pays less than 60% of similar roles. Most pay $149,500–$217,906 — the blue band above. At the midpoint, this role pays about $176k versus about $184k 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 580 open roles on FindRole.
Listed pay typically runs $147,900–$218,400 across 557 roles with salary data.
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At a glance
The Senior Machine Learning Software Engineer joins the Machine Learning Engineering team to design, implement, and verify software for various operating systems running on ARM processors and other embedded hardware like DSP or GPU processors. This role involves developing optimized software, including ML kernels and compilers, to leverage specific hardware features for audio, camera, graphics, video, sensors, and wireless functionality. Key responsibilities include integration, testing, and performance optimization for embedded software subsystems, as well as optimizing ML software frameworks like TensorFlow or PyTorch to run algorithms efficiently. The candidate will use C, C++, and Python to build tools and coordinate dependencies with other teams. The work focuses on solving technical problems for mobile, edge, auto, and IOT products by ensuring high-performance software execution on specialized hardware.
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