Senior Learning Perception Engineer - SLAM
Tasks
- Build training evaluation and deployment pipelines
- Define perception to action interfaces for real time control
- Design deep learning models for real time perception
- Develop multi-sensor fusion frameworks
- Ensure code quality model versioning reproducibility deployment
- Implement performance profiling regression testing telemetry
- Integrate data for world model state estimation
- Integrate synthetic data with real world datasets
- Lead SLAM pipeline development
Perks/Benefits
- N/A
Skills/Tech-stack
3D Geometry | C++ | CI/CD | CLIP | Camera Models | DINOv2 | Deep learning | Detectron2 | Extended Kalman | Extended Kalman Filter | Factor Graphs | GStreamer | Inertial odometry | IsaacSim | JAX | Kalman Filter | Model Compression | Multi Sensor | Multi-object Tracking | Multi-sensor Fusion | ONNX Runtime | Object Detection | Object Tracking | OpenCV | Pose Estimation | Probabilistic Estimation | PyTorch | Python | Quantization | ROS 2 | SAM | SLAM | Scene Understanding | Segmentation | Sensor fusion | State Estimation | TensorFlow | TensorRT | Testing | Unscented Kalman | Unscented Kalman Filter | Version control | Visual-inertial odometry | YOLO
Education
Regions
Countries
States
Cities
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