Machine Learning Technical Lead

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Website Valeo

Smart technology for smarter mobility

Mission of the job:

• Research deep learning and neural networks (and more general Machine Learning) in connection with applications around automated driving and driver assistance systems
• Develop novel approach of Deep Neural Network to address automotive constraints such as performances, memory bandwidth, runtime or creation of new functionalities
• Interact with local universities, partners, and customers on the subject of deep learning and neural networks to advance company technology around the subjects
• Define architecture and work on setup of prototype software which utilizes deep learning and neural networks on Valeo sensors including cameras, laser scanner, and radar
• Interactions with product development teams, universities, partners and customers
• Mentor and direct SW engineers and interns in completing development tasks

Your Experience:
• Engineer with previous experience in system development (5 years min)
• Previous work in the field of deep learning and neural networks (Caffe, Torch, Tensorflow)
• Knowledge of data fusion or image processing or signal processing and associated technologies such as cameras, radars, position sensors, navigation, telematics (0-5years)
• Good knowledge of software development: C/C++/CUDA/Open CL version control (SVN, GIT), code quality , Visual Studio
• Knowledge of automotive tools: ADTF,RTMAPS, Matlab-Simulink, multiplexing (CAN, LIN, Autosar, …), camera-based applications or active safety are appreciated
• Networks with local educational institutions regarding the subject appreciated
• Master degree in Engineering or PhD
• Relevant course work or studies regarding machine learning, deep learning, and neural networks

To apply for this job please visit

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