Design, develop and analyze systems for the extraction of information from signal and image sensors.
Good knowledge in designing and implementing algorithms both on conventional signal processing and AI (Artificial Intelligence) methods - Machine learning, Deep Learning.
Ability to evaluate the performance of existing signal processing and sensor fusion techniques and to investigate and develop new processing techniques with limited supervision
Good Knowledge of digital filter design, systems theory
Good knowledge of implementation of digital filters for embedded system applications.
Help to define processes and procedures for signal processing engineering tasks
Validate designs through design reviews, detailed analysis, simulation, and product testing
Knowledge in programming in C/C++/Python for embedded systems
Strong background and understanding of mathematical concepts relating to probabilistic models, conditional probability, numerical methods and linear algebra.
Strong project experience involving algorithm development for computer vision applications for face detection, face tracking (general object classification, detection, verification, detection, recognition, tracking)
Expertise in algorithm development, software implementation, optimization, integration and validation activities
Strong technical background in Image and signal processing are essential.
Responsible for working on projects that will include rapid prototyping and developing proof of concepts in signal processing area for automotive applications.
Experience of implementation in Embedded Linux platforms.
Other preferred skills
Self-motivated individual with passion towards state-of-the-art digital signal processing/AI technologies.
Understanding of the latest developments in wearable & sensing technology
Experience in design of algorithms for modeling physiological processes and measuring vital signs and activities.
Strong written and oral communications skills, Clear communication skills (English); Knowledge of German language would be an advantage.
Embodies and inculcates organization values and creates a learning culture to self and others in the team.
Ability to work effectively within a team structure as well as being a strong individual contributor.
Ability to effectively interface with and brief technical solutions to stakeholders
Qualifikationen
1. Ph D/Masters degree/Bachlelors degree in Computer Science/Electronics/Electrical/Instrumentation or related fields. 2. Preferred specializations in Signal processing/Artificial Intelligence/ Data Science 3. 9-12 years of industry experience environment (preferably automotive). 4. Proven track record of intrapreneurship 5. Experience in a multi-national/multi-cultural work environment and in a matrix organization
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