Zendar
Zendar builds high-resolution radar and AI-enabled perception software for autonomous systems, enabling accurate object detection and mapping in challenging conditions. It offers a radar-centric autonomy stack, sensor-fusion algorithms, and an evaluation kit/SDK used by vehicle and robotics developers to integrate and evaluate its technology. Privately held and founded in 2017, the company is headquartered in Berkeley, California.
Open Positions at Zendar
6 open positions
Senior Software Engineer joining Zendar’s Platform team to build the sensor, data collection, deployment, and demo infrastructure powering a radar-centric autonomy stack. The role spans platform integration, perception systems, real-time visualization, and support for vehicle autonomy development.
Join Zendar’s Vehicle Motion Planning & Control team to build the algorithms and real-time software that help autonomous vehicles navigate safely, smoothly, and predictably. You will take ownership from algorithm design through simulation, C++ implementation, and on-vehicle validation.
Build and optimize machine learning models for deployment on heterogeneous embedded platforms powering radar-centric vehicle autonomy. This role combines model architecture, hardware-aware optimization, inference runtimes, and production deployment.
Join Zendar’s Vehicle Motion Planning & Control team to build the algorithms and real-time software that help autonomous vehicles navigate safely, smoothly, and predictably. You’ll take ownership from algorithm design through simulation, embedded implementation, and validation on physical vehicles.
Design and build the multi-sensor state estimation stack powering Zendar’s radar-centric autonomy systems. This role focuses on localization, mapping, calibration, and real-time fusion of radar, camera, and inertial data for vehicles and robots.
Zendar is seeking a Sensor Fusion & Localization Engineer to build real-time radar, camera, and IMU state-estimation systems for autonomous vehicles and robots. The role offers ownership of a next-generation perception stack, from algorithm design through validation on real vehicles.