Job Responsibilities
* Working on different SW components for the perception tasks: object detection, tracking, drivable area identification, .. etc.
* Calibrating and synchronizing the sensors (Cameras, Radars, Lidars, etc)
* Developing state of the art sensor fusion algorithm.
* Benchmarking several implementations and identifying the performance gaps.
* Parallelization and optimization of different NNs running together to achieve real time performance.
Job Requirements:
* 0-3 years of experience.
* Good foundations in mathematics and statistics.
* Knowledge about different self-driving sensors, capabilities and limitations.
* Strong Deep Learning Knowledge from training to Deployment.
* Good C++ programming skills.
* Knowledge with Sensor Fusion Algorithms.
* Good knowledge of filters like: Kalman Filter.
* Strong knowledge in computer vision algorithms.
* Experience with PyTorch or similar is mandatory.
* Knowledge of GPUs, optimization and parallel programming is a plus
* ROS knowledge is a plus.
* Knowledge with CARLA or similar simulators is a plus.
Job Category
Automotive, Embedded
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