Senior Computer Vision Software Engineer for Self-Driving Cars, Engineering Center, Cluj / Bucharest
Bosch
- Cluj-Napoca, Cluj
- Permanent
- Full-time
- You have at least 5 years of 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 an extensive experience with Python, object oriented programming and 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;
- 25 days of annual leave
- Medical subscription
- Accident insurance
- A monthly budget which can be used for several different services on an online benefit platform
- Annual bonus
- Relocation bonus
- Lunch discounts
- Sport activities and well-being initiatives
- Technical and soft skills trainings
- Access to e-learning platforms
- Local and Global career development programs
- Bookster subscription
- Develop computer vision based environment perception algorithms for assisted and automated driving systems;
- 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);
- Create, adapt and train deep learning models that detect / classify / segment objects of interest in the context of automated driving, such as, but not limited to: vehicles of all types, pedestrians, road infrastructure elements, traffic lights, signs, free-space etc;
- Be responsible for the data-engineering related activities such as data filtering and automatic search, doing statistics, defining labeling guidelines, preparing the data requirements for each model etc;
- 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 will experiment ways to improve scenarios with undesired behavior;
- Evaluate and tune the algorithmic performance on large data-sets for reaching series-ready systems performance;
- Occasionally develop offline algorithmic methods for reference sensors data processing (e.g. LiDAR) and visualization software (e.g. 3D visualization);
- Python, C/C++
- Tensorflow, Keras, Pytorch
- Parallel computing frameworks (NEON, DSPs, OpenCL, CUDA, ...)
- Horovod, Microsoft Azure
- Linux
- GIT, Jira, Bitbucket, Docker
- Jenkins, CMake or equivalents
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