Radar AI/ML Engineer (f/m/d)

Ready to join the future of innovation in ADAS at NXP?

Be part of NXP’s Radar Systems Architecture team, responsible for the definition of next generation processing solutions covering advanced driver assistance systems and safety applications. We are seeking technology game changers to lead the digital transformation to this new world of automotive technology with a focus on the AI/ML enabled applications.

Your Job

• Understanding Radar usecase requirements and signal processing step and identify opportunities for ML acceleration.

• Definition of processing flow and usecases suitable for ML acceleration

• Creation of a deep neural network architecture for object classification using radar data for NXP Radar processors

• Development of a lightweight fast R-CNN based architecture for range-doppler spectrum features extraction and object detection.

• Integration of the processing flow / algorithms into simulation of the designated use cases at car level. E.g. via Carla, Automaker, etc.

• Requirements definition of ML Radar/ADAS capabilities within Requirement database of NXP

• In-depth use case analysis wrt. Processing needs, simulation, and modelling.

• Building, maintaining modelling platform and simulation components for pre PCA concept analysis.

• Work across organization with Systems Engineering, Marketing, Algorithms, Microprocessor and Software teams.

• Secure the key IPs with patent applications.

Your Profile

• Ability to work at the system-level, identifying optimal partitioning of solutions between hardware and software.

• Knowledge on ML/AI basics including mathematical background.

• Knowledge of CNN, RNN, reinforced learning and other Neural networks.

• Practical experience defining, training, and optimizing NN applications during Master thesis or other university assignments.

• Good knowledge of high-level modeling languages (Matlab, System C, C++, UML etc.)

• Good interpersonal and communication skills. Information sharing, presenting, working as a team player, and striving for clarity comes natural to you.

• Comfortable working with the ambiguity inherent in implementing new technologies.

• Professional working proficiency in English is required and German is beneficial.

• Bachelor or Science degree in Electrical or Computer Engineering, Mathematics, Computer Science, or similar required, Master preferred.

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