Computer Vision Engineer

📋 Description

• Implement and optimize onboard perception algorithms for real time detection, temporal association
• Integrate new camera modules onto our platforms and validate them against real requirements: image
• Build repeatable test and evaluation procedures so that camera and algorithm performance is
• Run and improve camera calibration and sensor synchronization procedures, including multi camera
• Profile and optimize pipelines for embedded inference against explicit latency, throughput and
• Support field test campaigns. Take algorithms and cameras from bench to flight, work alongside

🎯 Requirements

• Degree in Computer Science, Electrical Engineering, Robotics or a related field, or equivalent
• Experience building computer vision systems, with exposure to resource constrained or embedded
• Working knowledge of classical computer vision: feature detection and matching, optical flow
• Practical experience with cameras as hardware, not just as a source of frames. Sensor and lens
• Proficiency in C++ and Python, with real experience in OpenCV.
• Evidence of taking a project from problem definition to something that actually ran on hardware

🎁 Benefits

• Flexible working hours
• Stock Options
• Generous holiday allowance
• Company pension plan
• Car parking
• Enhanced maternity & paternity leave