Keep track of latest state-of-the-art research
Define and implement algorithms for radar data processing, in the field of signal processing, computer vision, perception and ML techniques.
Own end-to-end process of problem formulation, solution design, data processing, simulations and performance analysis.
Work closely with Hardware and Software engineers to define system requirements and support agile development.
B.Sc in electrical engineering, applied physics, computer science or related.
M.Sc - advantage
2+ years industry experience in the field of computer vision/ML algorithms.
Python proficiency (Sklearn, numpy)
Radar systems experience – advantage
Experience with Deep Learning algorithms and computer vision on non-imagery data – advantage
Understanding of automated driving sensing, perception, sensor fusion, localization, mapping requirements and development– advantage
Familiarity with core problems in robotics, including state estimation (Kalman filter, particle filter,occupancy map, etc.), SLAM, object detection, clustering, segmentation, feature detection and matching, and similar domains– advantage
Familiarity with basic computer vision concepts, including: intrinsic and extrinsic calibrations, homogeneous coordinates, projection matrices, and computational geometry.