Ego-Centric 视觉感知算法工程师- Genie业务部
Tasks
- Build keypoint detection pipelines
- Build robot demonstration datasets
- Collaborate with robot learning teams
- Create 3D pose label annotation pipelines
- Deploy models on NVIDIA Jetson and NPU
- Design object detection algorithms
- Develop depth estimation algorithms
- Develop semantic segmentation algorithms
- Estimate 6D object pose
- Implement pixel level hand segmentation
- Implement pose solving with PnP and BA
- Optimize inference with TensorRT
- Optimize instance segmentation algorithms
- Optimize pose accuracy for occlusion and reflections
- Perform automated data quality inspection
- Quantize and distill perception models
- Reconstruct hand 3D mesh pose
- Run real time perception at 30 FPS
- Train VLA and world model datasets
Perks/Benefits
- N/A
Skills/Tech-stack
3D Gaussian Splatting | 3D Pose Estimation | 3D point cloud | 6D Pose Estimation | Bundle adjustment | C++ | CI/CD | CUDA | Camera Calibration | Computer Vision | Data Annotation | Depth Estimation | Equiregular Calibration | Gaussian Splatting | Git | Hand-eye calibration | ICP | IMU | Image Segmentation | Knowledge Distillation | Model Quantization | Multi View Triangulation | Multi-view Geometry | Nerf | ONNX | ONNX Runtime | Object Detection | PnP | Point Cloud | Point Cloud Registration | Pose Estimation | PyTorch | Python | RGB-D | Single View Depth | TensorRT | VLA | World Model
Education
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