系统工程师(视觉感知方向)
Tasks
- Build stereo reconstruction and matching
- Conduct simulation validation
- Coordinate cross product line vision capabilities
- Create algorithm design documents
- Define module interfaces
- Deploy on embedded and edge devices
- Design system architecture
- Develop SLAM
- Develop camera calibration and compensation
- Develop multi view geometry
- Distill models for edge deployment
- Establish calibration and validation standards
- Execute mass production testing
- Implement structured light and ToF perception
- Improve inference efficiency and stability
- Optimize model performance
- Plan vision platform
- Pretrain and fine tune multimodal models
Perks/Benefits
- N/A
Skills/Tech-stack
3D Reconstruction | AI Vision | C plus plus | Camera Calibration | Computer Vision | Edge AI | Embedded deployment | Image Processing | Model Distillation | Multi-view Geometry | Prompt engineering | PyTorch | Python | Real Time | Real-time Systems | SLAM | Self-Supervised Learning | Self-supervised | Stable Diffusion | Stereo matching | Structured light | Supervised Learning | System Architecture | System Engineering | TensorFlow | Time Systems | ToF | Unsupervised Learning | Vision Transformers
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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