Ego-Centric视觉感知算法工程师
Tasks
- Build 3D point cloud mapping pipelines from 2D perception
- Build multimodal data labeling and quality control pipelines
- Deploy perception models on edge devices with real time inference
- Design object detection and instance segmentation algorithms
- Develop depth estimation using monocular stereo and structured light
- Estimate 6D object pose and reconstruct 3D hand mesh and joint poses
- Implement pixel level hand segmentation and keypoint detection
- Implement pose solving using PnP BA and triangulation
- Optimize inference using TensorRT and ONNX
- Optimize semantic segmentation algorithms
- Train VLA and world model datasets with perception strategy interfaces
Perks/Benefits
- N/A
Skills/Tech-stack
2D Segmentation | 3D Gaussian Splatting | 3D Hand Pose | 3D Reconstruction | 6D Pose | Bundle adjustment | C++ | CI/CD | CUDA | Code review | Computer Vision | Depth Estimation | Edge Computing | Gaussian Splatting | Git | ICP | Instance Segmentation | Knowledge Distillation | MVS | Multiview Geometry | NVIDIA Jetson | Nerf | ONNX | ONNX Runtime | Object Detection | PnP | Point Cloud | Pose Estimation | PyTorch | Python | Quantization | SFM | Semantic Segmentation | TensorRT | Triangulation | Uncertainty Quantification | Unit Testing
Education
Regions
Countries
States
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