📋 Description

• Design, implement and optimize onboard perception algorithms for real time detection
• Train, retrain and evaluate neural networks for detection/classification
• Optimize models for embedded inference with latency budgets
• Develop and maintain camera calibration and sensor synchronization
• Combine visual measurements with inertial data using filtering
• Plan and run field test campaigns; take algorithms to flight

🎯 Requirements

• Degree in CS, EE, Robotics or related field
• Hands-on CV on resource constrained platforms
• Classical CV: features, optical flow, camera models
• Experience training/deploying CNNs; data labeling and eval
• Rigorous timing and sensor synchronization
• Proficiency in C++ and Python with OpenCV

🎁 Benefits

• Flexible working hours
• Stock Options
• Generous holiday allowance
• Company pension plan
• Car parking
• Mental health and wellbeing support