Senior Computer Vision Engineer
Tasks
- Build repeatable evaluation methods for measurable performance
- Contribute to camera lens sensor and compute selection using real performance data
- Design onboard perception algorithms for real time object detection
- Develop neural network training and evaluation pipelines
- Fuse visual measurements with inertial and platform state using filtering and estimation
- Implement camera calibration and sensor synchronization procedures
- Mentor and coach engineers to improve product quality
- Optimize embedded inference for latency throughput and compute budgets
- Own computer vision deliverables and drive cross team alignment
- Plan and execute field test campaigns and analyze captured logs
Perks/Benefits
- Car parking
- Company pension plan
- Enhanced maternity and paternity leave
- Flexible working hours
- Generous holiday allowance
- Learning and development opportunities
- Mental health and wellbeing support
- Stock options
Skills/Tech-stack
C plus plus | C++ | CI/CD | Camera Calibration | Computer Vision | Convolutional Neural Networks | Data Curation | Data labeling | Deep learning | Egomotion | Embedded Systems | Extended Kalman | Extended Kalman Filter | Feature Matching | Feature detection | GPU Acceleration | Hardware-in-the-loop | IMU | Inertial odometry | Kalman Filter | MAVLink | Model Evaluation | Multiple view geometry | NPU acceleration | Network training | Neural Network | Neural Networks | Neural network training | Object Classification | Object Detection | OpenCV | Optical Flow | PX4 | Pruning | Python | Quantization | ROS2 | Real Time | Real-time Inference | Sensor fusion | Sensor synchronization | The Loop | Visual Inertial | Visual SLAM | Visual-inertial odometry
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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