Responsibilities:

• Researching, tailoring and applying state-of-the-art as well as proven methodologies for goal-driven processing of raw data from camera, lidar and radar sensors
• Designing and implementing algorithmic solutions
• Support for requirements engineering, harmonization with system design, testing, benchmarking, as well as documentation and knowledge development for the company
• Contribution to achieving time, cost and quality goals
• Transfer requirements to algorithmic solution design, consequently create software design
• Providing prototype implementations and bringing them to product level
• Developing and running benchmarks

Desired Skills:

• Deep theoretical knowledge and application experience in Computer Vision, specifically for mono/stereo camera and image sequences, Pattern Recognition
• Strong mathematical background, experience in goal-oriented problem analysis, data analysis and information retrieval, model and solution design, parameter estimation paradigms
• Preferably practical experience with different algebraic and/or statistical estimation and optimization patterns
• Experience in effective self-education, learning and applying new methods in collaboration and alone
• Several years of experience with C++, Python under Linux and Windows, Open CV, Matlab and scientific libraries for Python
• Self-driven learning for being able to actively deal with latest technologies