Expert Radar ML Engineer

sion & AI Research Engineer to help develop advanced perception systems critical for autonomous vehicles. In this role, you will implement state-of-the-art radar and AI/ML technologies on our newest radar sensor generations to create market-leading perception solutions for Advanced Driver Assistance Systems (ADAS) and Autonomous Driving (AD) features.

This is a unique opportunity for someone who:

• Is passionate about deep learning or eager to develop expertise in this area

• Can grasp core concepts and transfer them to new domains collaboratively

• Wants to go beyond using pre-existing networks to develop innovative solutions

• Is motivated to create competitive solutions that become real products

• Brings strong communication and self-organization skills

• Wants to collaborate with cross-functional teams including radar hardware engineers and perception software teams

• Is eager to stay current with state-of-the-art research in radar signal processing and machine learning

Required Qualifications

• Master's or Ph.D. in Computer Science, Electrical Engineering, Physics, Mathematics, or related technical field

• At least 1 year of relevant industry experience in Machine Learning, Radar Processing, or embedded system development

• Excellent programming skills in Python

• Experience with deep learning frameworks such as PyTorch, TensorFlow, or Theano

• Strong analytical skills with deep mathematical understanding

Preferred Qualifications

• Proven experience applying machine learning to sensor perception challenges

• Experience with modern radar signal processing methods

• Proficiency in C/C++ programming

• Track record of collaborative software development in team environments

• Experience with real-time and embedded systems

• Automotive industry experience, particularly with ADAS/AD systems

• Publication record in relevant conferences (CVPR, NeurIPS, ICCV, ICRA, Fusion, etc.) demonstrating capability to develop competitive leading solutions

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