System Algorithm Designer for Hardware
Qualcomm
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How this pay compares to similar roles
This role pays less than 82% of similar roles. Most pay $194,850–$254,750 — the shaded band above. At the midpoint, this role pays about $178k versus about $225k 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
Machine Learning Systems Engineer joins the Multimedia Systems group within the Sensors Technologies team to develop state-of-the-art algorithms for single and multi-sensor fusion using ML/AI techniques. This role involves the entire product lifecycle from early R&D to commercial deployment, focusing on solutions for smartphones, automotive, IoT, smartwatches, and other consumer electronics. The engineer will define data collection strategies, perform algorithm evaluation, benchmarking, and documentation while balancing performance, power consumption, and computational complexity. Key technical requirements include proficiency in MATLAB and Python for high-level development, as well as C/C++ for software implementation on Qualcomm platforms. The work involves solving complex problems in sensor systems, including inertial sensors and IMU designs. Candidates should possess expertise in probability, statistics, supervised and unsupervised learning, feature extraction, classification, regression, and signal processing.
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