NXP Semiconductors
About Us
At NXP Semiconductors, our Radar Architecture team develops advanced AI-driven radar solutions to enable intelligent perception for next-generation automotive applications. We work across the stack—from low-level radar signal understanding to multi-sensor (camera + radar) scene perception—always with a strong link to embedded deployment and real-world use cases. Our work supports production-level systems in partnership with major Tier-1s like CARIAD, Aptiv, and Continental.
Key Responsibilities
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Assist in developing and evaluating computer vision models for scene understanding using radar and camera inputs
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Develop data pre-processing algorithms for training and validation
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Support the implementation of radar-camera fusion pipelines using PyTorch
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Run model experiments on embedded platforms and analyze performance metrics
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Help visualize outputs in Bird’s Eye View (BEV), image, or 3D voxel spaces
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Collaborate with cross-functional teams and contribute to technical discussions
What We’re Looking For
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Currently pursuing a Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related field
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Experience with PyTorch or TensorFlow for training deep learning models
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Familiarity with basic radar signal processing or computer vision
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Interest in embedded AI and multi-modal perception
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Strong Python skills and motivation to contribute to real-world ML systems
Bonus Points
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Familiarity with deployment tools such as TensorRT, TVM, or OpenCL
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Experience with large-scale datasets like nuScenes, Waymo Open Dataset, or K-Radar
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Exposure to 3D vision or volumetric methods for scene understanding
Why Join Us?
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Contribute to industry-relevant projects in radar perception and fusion
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Gain hands-on experience with embedded AI in a production context
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Work alongside experts in signal processing, hardware, and machine learning
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Flexible hours and hybrid work setup to support your academic schedule
More information about NXP in Germany…
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