Computer Vision and Deep Learning Algorithm Engineer

The Surround-Perception group is dedicated to solving advanced vision problems, with a focus on 3D domain encompassing reconstruction and object detection. Our team research, develops, and deploys cutting-edge techniques to achieve world-class results, contributing to the safe advancement of Autonomous Driving.
What will your job look like:
Conduct research and develop innovative Computer Vision and Deep Learning algorithms in areas such as Object Detection and Tracking, Depth Sensing, and 3D Reconstruction.
Engage in cutting-edge Computer Vision projects, from the data science and research stages, through proof of feasibility to the deployment of solutions.
Performance-oriented deployment of Computer Vision and Deep Learning algorithms on a Real-Time embedded chip for autonomous driving.
Collaborate with engineering and research teams in Computer Vision, Machine Learning, and Data Engineering to solve real-life problems.
Continuously learn and stay updated on the latest advancements in relevant research fields that impact our daily work.
All you need is:
B.Sc. in Computer Science, Electrical Engineering, or a related technical field.
Proven background in Computer Vision, Machine Learning, and Deep Learning.
4+ years of experience in development, design, and deployment of machine learning algorithms.
Strong programming and engineering skills.
Ability to learn new technologies and techniques.
Independent, creative, and innovative with strong problem-solving skills.
Advantages:
M.Sc. or Ph.D. degree in Computer Vision, Deep Learning, or Machine Learning.
Experience in real-time programming, preferably in C/C++.