深度学习算法工程师/专家（定位方向）
Tasks
- Analyze localization failures in complex scenarios
- Build and process datasets
- Build visual topology localization modules
- Deploy algorithms to vehicle computing platforms
- Develop Transformer based visual feature extraction
- Develop automated evaluation toolchains
- Develop visual global localization algorithms
- Fuse GNSS and navigation map data
- Implement cross modal visual map matching
- Implement visual odometry modules
- Optimize models with pruning and quantization
- Perform temporal fusion for localization
- Propose algorithm improvement plans
- Run real vehicle tests and iterate performance
- Train and fine-tune deep learning models
Perks/Benefits
- N/A
Skills/Tech-stack
Camera Models | Computer Vision | DETR | Deep learning | GNSS | High definition map | IMU | Jetson | Model Pruning | Model Quantization | Multi-view Geometry | NVIDIA ORiN | PyTorch | Python | SLAM | Sensor fusion | State Estimation | Swin Transformer | TensorFlow | Transformer | Vehicle localization | Vision Transformer | Visual Odometry
Education
Regions
Countries
States
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