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.

In this role you will do:

• 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.
  
  

Minimum qualifications:

• 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++.