
Zendar creates advanced perception solutions that empower autonomous systems to safely navigate and interact with the physical world. Leveraging its pioneering Distributed Aperture Radar technology, the company delivers high-resolution 4D imaging (3D plus velocity) from compact, affordable radar sensors. By integrating state-of-the-art signal processing, sensor fusion, and machine-learning algorithms, Zendar provides real-time, highly accurate object mapping that drives reliable autonomous decision-making. The company’s diverse, mission-driven culture emphasizes professional growth, competitive benefits, and a collaborative work environment that fuels innovation.
Zendar is looking for a research-oriented Machine Learning Intern (World Modeling and Scene Understanding) to join our Berkeley office. The role involves developing scene-level world models that represent and forecast the occupancy and dynamics of the environment, enabling robust downstream autonomy across automotive and robotics applications.
Zendar creates advanced perception solutions that empower autonomous systems to safely navigate and interact with the physical world. Leveraging its pioneering Distributed Aperture Radar technology, the company delivers high-resolution 4D imaging (3D plus velocity) from compact, affordable radar sensors. By integrating state-of-the-art signal processing, sensor fusion, and machine-learning algorithms, Zendar provides real-time, highly accurate object mapping that drives reliable autonomous decision-making. The company’s diverse, mission-driven culture emphasizes professional growth, competitive benefits, and a collaborative work environment that fuels innovation.