Computer Vision Engineer

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.

· Communicate with client. Recommend technical solution or alternative

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.