Computer Vision Engineer

We are currently looking for a Computer Vision Engineer for Mobility Aftermarket technology development to work within our team.

We are a team of engineers that harness the power of artificial intelligence, video-based perception and deep learning to create industry leading automated driving and mobility aftermarket technology. We develop state-of-the-art 3D computer vision algorithms, art neural networks based on video sensors with the focus on scene perception and understanding in & out of the car, transforming the camera-based 3D perception technologies into valuable tools & intelligent productsfor the overall automotive field.

In your role you will:

• Develop computer vision-based algorithms for mobility aftermarket technology (e.g. precise sensors calibration in auto workshops);
• Design, develop and optimize algorithms and software for single and for multi-camera video systems using a variety of state-of-the art methods (deep learning, structure from motion, optical flow, 3D reconstruction, clustering, segmentation, objects tracking, visual odometry, numerical optimization techniques, projective geometry, etc.);
• Create, adapt and train deep learning models that detect / classify / segment entities of interest;
• Be responsible for optimizing and deploying trained deep learning models and 3D perception algorithms to dedicated hardware devices;
• Evaluate and validate the performance of the models based on ground truth and reference sensors data, and experiment ways to improve on scenarios with undesired behavior;
• Evaluate and tune the algorithmic performance on large datasets for reaching release-ready systems performance;

Technology Stack:

• Python, (embedded) C/C++
• 3D
• Tensorflow, Keras, Pytorch
• Parallel computing frameworks (NEON, DSPs, OpenCL, CUDA, …)
• Linux
• GIT, Jira, Bitbucket, Docker
• Jenkins, CMake or equivalents

Requirements

• You have working or academic experience in the computer vision field.
• You have a university degree in computer science, automation, electronics and telecommunications, informatics, mathematics or comparable;
• You have a thorough understanding of computer vision / deep learning / machine learning (i.e., building blocks, mathematics, and intuition behind), algorithms, data structures and software design.
• You have experience with Python, object oriented programming or with deep learning training frameworks (TensorFlow, PyTorch, etc.);
• You enjoy working on both research & development related activities;
• You are motivated and committed to get involved, learn and contribute to the development of cutting-edge technologies in collaboration with a global network of experts;
• You have good communication, strong analytical skills, you are team oriented, have initiative, perseverance, and attention to details;
• You are self-organized and able to estimate, prioritize and schedule own tasks
• You are result and quality oriented;