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Work on algorithms and tooling supporting calibration of a large vehicle fleet
perform data analysis from the operating fleet to understand calibration failure modes and come up with improvements
develop tools to catch potential calibration issues/regressions
improve stability and help productize calibration implementation
Pursuing BS/MS or higher in computer science, robotics, or a related engineering field.
Strong mathematical fundamentals, including linear algebra and numerical methods.
Experience with algorithms in Robotics, Computer Vision and/or Machine Learning.
Good C++ and Python skills in a Linux environment, familiarity with version control.
Strong interpersonal skills, being self-motivated and a great teammate.
Experience with innovative sensor calibration algorithms
Advanced programming and debugging experience on Linux and QNX
Robotics/estimation/controlsproject or applied research experience, especially as part of a larger group.
Relevant projects using state of the art machine vision / sensor pipelines.
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