• Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field
• 3+ years of focused experience in radar perception (signal processing, clustering, detection, tracking)
• Deep understanding of radar fundamentals - range-Doppler processing, CFAR detection, beamforming, ghost/multipath mitigation
• Experience with automotive or industrial radar sensors (continental, TI, Oculii, or similar)
• Python, C++, and ROS2 proficiency
• PhD in Computer Science, Robotics, Electrical Engineering, or a related discipline
• Experience deploying radar models to production
• Experience fusing radar with camera/LiDAR in a production stack
• Familiarity with radar-specific datasets (RADIal, RadarScenes, CARRADA, or similar)