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Responsibility for the design, development, and scaling of AI-based solutions in the ADAS field
Disciplinary leadership of an interdisciplinary team (Data Scientists, ML Engineers, Software Engineers)
The team’s primary task is to generate synthetic data using artificial intelligence (Generative AI) for existing and future software-in-the-loop and hardware-in-the-loop test benches (SiL/HiL)
Selection, evaluation, and implementation of modern generative AI models (LLM-based generators, diffusion models, GANs, etc.)
Presenting results, technical concepts, and strategic approaches to executives and clients Bachelor’s or Master’s degree in Computer Science, Software Engineering, or equivalent experience
Experience with driver assistance sys...
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What you can look forward as Virtual ADAS Environment Development
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