Working Student (f/m/d) AI for Radar Perception

Job title:

Working Student (f/m/d) AI for Radar Perception

Company:

NXP Semiconductors Germany GmbH Zentrale

Job description

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 .
Aufgaben

• 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 Bird’s Eye View (BEV), image, or 3D voxel spaces
• Collaborate with cross-functional teams and contribute to technical discussions
• 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

Profil

• Currently pursuing a Master’s 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

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Expected salary

Location

Hamburg

Job date

Sat, 02 Aug 2025 07:20:52 GMT

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