Job Description
- Develop software, computer vision and machine learning algorithms for video based driver assistance systems and automated driving; Besides autonomous driving, other use cases are in area of rail systems, logistics, agriculture and construction industry.
- Implement and optimize real-time embedded mono and stereo video processing technologies based on innovative computer vision (ex: stereovision and structure from motion, 3D reconstruction, projective geometry, numerical methods, 3D data processing and tracking, camera calibration) and artificial intelligence methods (ex: machine learning for objects detection and classification, scene segmentation);
- Specification and development of performance evaluation methods on large data-sets;
- Evaluate and validate results using offline automatic simulation frameworks as well as using Bosch test vehicles;
Qualifications
Education:
- Computer Science, Automation, Electronics and Telecommunications, Informatics, Mathematics or comparable;
- Know-how:
- Good algorithms, data structures and software design background;
- Experience with one object oriented programming language (preferable C/C++);
- Know-how or willingness to learn more from one of the following fields: image processing, pattern recognition, computer vision, signal processing, control engineering, machine learning, artificial intelligence, numerical methods, computational geometry etc;
- Personality:
- Motivation and commitment to get involved, learn and contribute to the development of leading edge technologies in collaboration with a global network of experts;
- Good communication, strong analytical skills, team oriented, initiative, perseverance and attention to details;
- Self-organized and able to estimate, prioritize and schedule own tasks.
- Target and quality orientation;
Languages spoken:
- Fluent in English; German can be an advantage;
Advantages if you have
- Experience with developing automated driving systems;
- Computer vision, image processing, machine learning or deep learning experience;
- Experience with software design on embedded systems;
- Knowledge of embedded software optimization and parallelization (ex: NEON, DSP) for real-time performance;
- Experience with programming in Python or Matlab;
- Software documentation, tracking (ex: Jira) and versioning tools;
- Automotive SPICE and ISO26262;
