Description


Responsibilities:

Develop and implement computer vision algorithms that meet specific requirements.

Define data collection methods and manage data acquisition for use in developing algorithms.

Perform statistical analysis and use simulation or test datasets to validate the algorithm.

Debug, test and validate algorithms to ensure high-quality results.

Develop geometric calibration algorithms including SLAM camera calibration, eye tracking camera calibration, inertial measurement unit calibration, and other sensors to be modeled.

Use C++ to develop and optimize algorithms for real-time applications.

Communicate effectively with cross-functional teams, including software engineers, hardware engineers, and data scientists.

Participate in the design, development, and deployment of computer vision applications.

Requirements:

A bachelor's or master's degree in computer science, electrical engineering, or related field.

Proficiency in C++ and Python

Experience with 2D image processing, 3D geometry, and/or bundle adjustment.

Experience with statistical analysis

Excellent communication skills, both verbal and written.

Ability to work independently and in a team environment

Key Skills
Education

Bachelor's or Master's degrees