In our group, we research, develop, and deploy state-of-the-art lidar based techniques to achieve world-class results, enabling the safe development of Autonomous Driving features and Advanced Driver Assistance Systems.
What will your job look like:
Research, design, develop, and implement lidar based algorithms in both Python and C++ for solving complex problems
Evaluate existing models and techniques, and propose innovative approaches to improve algorithm performance and accuracy
Examine your algorithms on large-scale real-world data from our data collection vehicles across the globe
Collaborate with cross-functional teams to understand requirements and develop solutions
Optimize existing algorithms to improve performance and scalability
All you need is:
M.Sc./Ph.D. in Computer Science, Electrical Engineering or a related field, with research in deep neural networks
3+ years of experience in developing Computer Vision algorithms employing deep neural network techniques
Knowledge of transformers and specifically Vision Transformers is an advantage
Strong statistical analysis, mathematical, and problem-solving skills
Ability to learn new technologies and techniques
Independence, creativity and a proactive approach
Experience with the automotive industry is an advantage