Responsibilities
- Design and develop perception software systems for ADAS ground truth platforms.
- Train, deploy, and refine multi-sensor fusion algorithms for detection and segmentation, leveraging lidar and camera data.
- Demonstrate expertise in AI models for dynamic and static object perception using lidar and camera inputs; familiarity with end-to-end (E2E) models is advantageous.
- Develop, train, and deploy tracking algorithms within the ADAS ground truth system using fused sensor data.
- Design and implement cloud-based data pipelines and processing workflows for ground truth data management.
- Support the definition of onboard sensor hardware configurations and assist in integrating data acquisition systems.
Cooperation and Analysis
- Collaborate with cross-functional teams to investigate edge cases, identify root causes, and uncover underlying patterns related to autonomous driving behaviors.
- Conduct data analysis to understand potential risks, failure modes, and accident-related scenarios in automated driving functions.
