We are searching for a skilled and motivated Algorithm & Software Engineer to join our Calibration Team. The Calibration Team is an integral part of the Geometry Group within the R&D department. We develop cutting-edge computational geometry products for our systems, essential for understanding vehicle surroundings and advancing Autonomous Vehicles and Advanced Driving Assistance Systems.
Our team's focus is on camera calibration functionalities. The foundation of all our algorithms is rooted in classic theoretical concepts that include diverse topics in mathematics and physics such as projective geometry, algebra, and optics. Given the wide-reaching impact of our work, these fundamental principles are translated into code, which must meet stringent real-time requirements, delivering both high accuracy and efficiency. To accomplish this, we actively utilize various profiling tools and techniques to continuously enhance the performance of our software solutions.
In addition, our team is gradually incorporating Machine Learning approaches to complement traditional methods and explore new ways to improve calibration accuracy.
We place a strong emphasis on the development of clean, well-documented, and testable code in order to produce robust and dependable software solutions. We are looking for individuals who share our commitment to code quality and recognize the significance of these practices.
What will your job look like:
Implement, deploy, and maintain algorithms in classic computational geometry.
Develop high-quality code primarily in C++, Python and occasionally using MATLAB.
Design and maintain real-time oriented code that meets stringent memory and runtime requirements.
Collaborate effectively with other teams.
Requirements: B.Sc. in Physics, Mathematics, or Computer Science with a strong interest and experience in Computer Science or Software Engineering (M.Sc. - advantage).
2+ years of experience in C/C++/Python development.
Nice to have:
Experience with geometric algorithms.
Familiarity with Git and GitLab, backed by practical experience.
Experience developing deep learning algorithms in Python, including end-to-end pipeline implementation (data preparation, training, validation, and analysis).
Experience with deep learning frameworks such as TensorFlow, Keras, and PyTorch.
This position is open to all candidates.