Essential Functions (At least 1 out of the first 2):
• Develop and code digital signal processing modules for improved
• detection/estimation capabilities of radar (preferably in Python) – including range,
• Doppler, Angle of arrival estimation
• Enhance radar perception algorithms using the latest from the world of clustering,
• vehicle tracking, object classification, pose estimation, etc.
• Integrate, maintain and test radar signal processing stack
• Develop and maintain automation framework for verification of the processing stack
Required Education and Experience:
• BTech/MTech/MS/PhD with 2-20 years of industrial experience.
• Good knowledge of signal processing concepts and estimation-detection theory.
• Good understanding of system specifications and the ability to work the signal
• processing chain from the RF to analog and to the digital baseband domain.
• Experience with development in Python, C, C++.
• Hands-on experience in conducting lab experiments. Knowledge of test parameters
• and test equipment; oscilloscope, VNA, spectrum/signal analyzers.
• Must possess good communication and presentation skills and the desire to be part
• of a dynamic team.
• Follow rigorous work flow practices including design review & documentation of the
• work.
Nice to haves:
• Exposure to MIMO radar signal processing – spectral estimation, compressive sensing, sparse signal
processing.
• Exposure to building perception software for LiDAR/Radar – including but not limited to spatial clustering
and object tracking
• Experience in parallelizing algorithms over GPU architectures