Computer Vision Engineer (Robotics Perception)
- Джерело:
- djinni.co
Що робити
- Develop, train, and evaluate deep learning models for object detection, semantic segmentation, and scene understanding
- Build datasets, define annotation requirements, and improve data quality and coverage across operating conditions
- Deploy and optimize computer vision models for real-time inference on onboard hardware
- Configure cameras and perform intrinsic and extrinsic calibration between cameras, LiDAR, and IMU
- Integrate camera data into localization pipelines and work with the hardware team on sensor synchronization, including hardware triggering where needed
Що очікуємо
- Hands-on experience developing computer vision solutions using deep learning and classical methods
- Practical experience training and evaluating neural networks with PyTorch or a comparable framework, including dataset preparation, augmentation, and error analysis
- Knowledge of camera models, intrinsic and extrinsic calibration, and coordinate transformations
- Strong mathematical foundation in linear algebra, geometry, probability, and numerical methods
- Solid Python and C++ skills, with the ability to turn experimental algorithms into maintainable software
Що пропонуємо
- Experience deploying and optimizing models on NVIDIA Jetson or other edge AI platforms using ONNX or TensorRT
- Experience with multi-modal learning or camera–LiDAR fusion
- Experience with visual odometry, SLAM, or multi-sensor localization
- Understanding of sensor synchronization, hardware camera triggering, or PTP
- Familiarity with ROS 2 and libraries such as OpenCV, PCL, or Open3D
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