Senior Software Engineer 1036

• Develop sensor fusion algorithms as and when new sensors are available
• Tune the filters that discard false detections and tracks
• Develop novel algorithms for fusing lidar, radar and visual tracking

• Develop novel segmentation algorithms utilizing 3D point cloud data from LIDAR for object detection/recognition and scene understanding
• Utilize both geometric and learning based solutions to come up with robust solutions

• Develop novel algorithms to detect and identify objects in the radar returns
• Design machine learning and temporal solutions to process the data

• Design algorithms to detect when the system is not performing up to the mark
• Perform correction while the system is engaged if possible

• Run continuous checks and tests offline to ensure the detection algorithms are working up to the mark
• Add new scenarios to keep on improving the baseline system performance

• Perform sensor state checks to ensure sanity of all the sensor data being processed
• Publish reports for the test in a meaningful format to speed up error detection

• Work closely with infrastructure and system hardware team in order to improve the raw sensor data on which we develop our algorithms
• Tune various software driver parameters to increase performance of the algorithms in every scenario

• Design tests to catch any potential hardware or software error before deployment
• Develop automatic checks for the vehicle drivers to maximize time and faster resolution of any potential problems
• Maintain and improve existing code base
• Develop automated solutions to improve the code quality
• Review each other’s code and algorithms periodically to improve productivity

Requirements:

• Master’s degree in Computer Science, Computer Engineering or a related field.
• 2+ years’ experience as Software Developer, Software Engineer or a related occupation working on computer vision research and development implementing Python, C++ or Java code.
• Knowledge of machine learning; image processing and computer vision including object detection, segmentation and motion tracking algorithms; and implementing, tuning and deploying deep learning neural networks.