
Machine Learning Engineer for Advanced Radar Perception Solutions
5 days ago
Aptiv is at the forefront of revolutionizing mobility, specializing in developing advanced safety systems for the automotive industry. Our department is responsible for end-to-end development of radar perception software, processing data from sensors and generating object data.
We are looking for a talented Machine Learning Engineer to contribute to the development and advancement of HARP, a cutting-edge system combining classic algorithms and state-of-the-art machine learning techniques.
Your key responsibilities will include investigating and developing radar perception with traditional and ML approaches, adapting the latest developments into our solution stack, and developing advanced machine learning algorithms for radar perception. You will also be responsible for training and testing deep neural networks and other ML models, as well as quality assurance via design, requirements, and comprehensive verification and validation according to Aptiv process and industry standards.
Additionally, you will work on continuous improvement of supporting factors such as simulation tools and testing environment, troubleshoot and resolve issues for ongoing programs and projects, and interact with system & testing teams, customers, and project management. We operate in an Agile SW development team (SCRUM).
Requirements
- C++, Python, MATLAB programming skills
- Mastery of machine learning concepts and techniques
- Experience with PyTorch and TensorFlow
- Good understanding of radar perception software, radar signal processing, and statistics
- Excellent problem-solving skills and attention to detail
- Strong communication and collaboration abilities
Benefits
- Private healthcare
- Sport subscription
- International projects
- Training budget
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