Tasks:
- * Develop scene reconstruction and perception models
- * Improve ground-truth production accuracy and efficiency
- * Optimize object tracking and post-processing algorithms
- * Research autonomous driving automated-labeling algorithms
- * Resolve algorithm performance bottlenecks
Perks/Benefits:
Skills/Tech stack required:
[C++] [Deep learning] [Deep learning frameworks] [EKF] [ESKF] [Factor Graphs] [GNSS] [IMU] [Learning frameworks] [Linux] [Multi-task Learning] [Nonlinear Optimization] [Object Detection] [Object Tracking] [Python] [Radar] [Semantic Segmentation] [Sensor fusion] [Speed Sensors] [State Estimation] [Stereo vision] [Visual sensors] [Wheel Speed] [Wheel-speed sensors]
Educational requirements:
[Master's Degree]
Role(s):
[Algorithm Engineer] [Automated Labeling Algorithm Engineer] [Engineer]