Machine Learning Systems Engineer
Qualcomm
Quick summary
Market check
How this pay compares to similar roles
This role pays less than 60% of similar roles. Most pay $167,100–$241,750 — the blue band above. At the midpoint, this role pays about $185k versus about $204k 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 575 open roles on FindRole.
Listed pay typically runs $147,900–$221,900 across 550 roles with salary data.
Most-posted roles
At a glance
The System Algorithm Designer for Hardware joins the Multimedia Systems Engineering Group to develop state-of-the-art algorithms for single and multi-sensor fusion. Working within the Sensors Technologies group, the role involves the entire product life cycle from early R&D to commercial deployment. Key responsibilities include developing fixed-point designs, balancing performance against power consumption and computational complexity, and creating evaluation reports. The candidate will use MATLAB and Python for high-level development and C/C++ for software implementation on Qualcomm platforms. The work requires applying digital signal processing, Kalman filters, linear algebra, and machine learning concepts like supervised and unsupervised learning to accelerometer, gyroscope, and magnetometer data. This role solves technical challenges in sensor solutions for smartphones, automotive, IoT, and smartwatches.
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