Computer Vision Engineer – Autonomy & Perception
Tasks
- Analyze flight data and improve perception robustness
- Build scene understanding for autonomous navigation
- Create data labeling augmentation evaluation pipelines
- Design perception systems for autonomous aerial platforms
- Develop camera calibration workflows
- Develop object detection classification segmentation tracking algorithms
- Develop simulation and testing frameworks for perception
- Develop train deploy deep learning perception models
- Develop visual inertial odometry localization mapping
- Establish validation metrics for autonomous perception systems
- Fuse camera IMU GPS lidar radar data for state estimation
- Implement vision based navigation in GPS denied environments
- Integrate RGB stereo fisheye thermal event based cameras
- Optimize neural networks for real time inference
- Support SLAM and feature based localization
- Support multi camera synchronization and calibration
- Support software in the loop hardware in the loop flight testing
Perks/Benefits
Skills/Tech-stack
C++ | Camera Calibration | Computer Vision | Deep learning | Event Based | Event-based cameras | Fisheye Camera | Geometric vision | Image Segmentation | Inertial odometry | Linux | Machine Learning | Multimodal Sensors | Object Detection | Object Tracking | OpenCV | PyTorch | Python | RGB | ROS | ROS2 | Rust | SLAM | Scene Understanding | Sensor fusion | State Estimation | Stereo vision | TensorFlow | Thermal imaging | Visual localization | Visual-inertial odometry
Education
Roles
Regions
Countries
States
Cities
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