深度学习算法工程师/专家（定位方向）
Tasks
- Analyze localization failures in complex scenes and propose improvements
- Build visual topology localization and visual odometry modules
- Deploy algorithms to embedded vehicle compute platform
- Develop dataset building data processing and automated evaluation toolchains
- Develop visual global localization algorithms using deep learning
- Implement transformer based visual feature extraction
- Optimize models with pruning quantization and performance tuning
- Perform real vehicle testing and iterate on performance
- Train and fine-tune deep learning models
Perks/Benefits
- N/A
Skills/Tech-stack
CUDA | Computer Vision | DETR | GNSS | IMU | Multi-view Geometry | Multisensor fusion | PyTorch | Python | SLAM | State Estimation | Swin Transformer | TensorFlow | Transformer | Vision Transformer | Visual Odometry
Education
Regions
Countries
States
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