Working Student (f/m/d) AI for Radar Perception
Working Student (f/m/d) AI for Radar Perception
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Job Description
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 stackfrom low-level radar signal understanding to multi-sensor (camera radar) scene perceptionalways 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
Assist in developing and evaluating computer vision models for scene understanding using radar and camera inputs
Develop data pre-processing algorithms for training and validation
Support the implementation of radar-camera fusion pipelines using PyTorch
Run model experiments on embedded platforms and analyze performance metrics
Help visualize outputs in Birds Eye View (BEV) image or 3D voxel spaces
Collaborate with cross-functional teams and contribute to technical discussions
What Were Looking For
Currently pursuing a Masters degree in Computer Science Electrical Engineering Robotics or a related field
Experience with PyTorch or TensorFlow for training deep learning models
Familiarity with basic radar signal processing or computer vision
Interest in embedded AI and multi-modal perception
Strong Python skills and motivation to contribute to real-world ML systems
Bonus Points
Familiarity with deployment tools such as TensorRT TVM or OpenCL
Experience with large-scale datasets like nuScenes Waymo Open Dataset or K-Radar
Exposure to 3D vision or volumetric methods for scene understanding
Why Join Us
Contribute to industry-relevant projects in radar perception and fusion
Gain hands-on experience with embedded AI in a production context
Work alongside experts in signal processing hardware and machine learning
Flexible hours and hybrid work setup to support your academic schedule
Employment Type
Part-Time
