Key Responsibilities:
· Design and implement video/image processing algorithms to merge multiple video streams into a single panoramic video.
· Develop robust methods for video alignment, motion estimation, and real-time image blending.
· Collaborate with cross-functional teams to integrate vision algorithms.
· Optimize algorithms for real-time performance on embedded or edge platforms.
· Conduct experiments and evaluations to validate algorithm performance in real-world scenarios.
· Document technical designs, development processes, and results for both internal and external stakeholders.

Required Qualifications:
· Bachelor’s, Master’s, or PhD in Computer Vision, Computer Science, Electrical Engineering, or a related field.
· Proven experience in computer vision, image processing, or related domains.
· Strong proficiency in Python and/or C++, with hands-on experience using libraries such as OpenCV, PyTorch, TensorFlow, or similar.
· Demonstrated experience with video stitching, multi-view geometry, or related techniques.
· Familiarity with real-time video processing.
· Excellent problem-solving skills and the ability to work independently or collaboratively in a team environment.

Preferrable (Optional):
· Software engineering experience in developing applications backends.
· Experience with embedded systems application development.
· Familiarity with swarm robotics or autonomous navigation systems.