We are deploying a 360-degree radar-based perception system and extending it toward full-stack autonomy through early fusion of camera and radar data. You will work on localization, mapping, calibration, and multi-sensor fusion algorithms that allow autonomous systems to operate robustly across automotive and robotics domains. Zendar pioneered RF perception that delivers a vision-like, semantically segmented understanding of the environment—running on embedded automotive systems using only radar data. The result is a system that sees farther, remains robust to occlusion and adverse weather, and operates far more efficiently than vision-only or lidar-based approaches. See a demo of Zendar's foundational RF perception At Zendar, you'll work at the cutting edge of autonomous mobility and robotics—advancing foundation models that will power the next generation of physical AI systems.
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